Publication activity
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
Research across participating journals · All insights follow your collection filters.
Publication activity alongside incoming citations.
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
OpenAlex · year of the citing work
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Leading affiliations and themes in this collection.
Full distributions & methodology ↓Independent sources. Clear time scales.
Crossref and OpenAlex · separate totals for the same publication cohorts
Hover over a year or focus the chart and use arrow keys to inspect values.
Latest lifetime totals, grouped by the cited article’s year. These are not citations received in that year.
OpenAlex · incoming citation links grouped by citing-work year
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.
Articles by publication year
Latest lifetime totals · grouped by publication year
Latest lifetime totals · grouped by publication year
By year of the citing work · 2017–2026
2026 is year to date. Crossref and OpenAlex lifetime charts share a citation scale. Unknown observations appear as gaps; known zero stays zero. Annual receipts use available OpenAlex histories and may not sum to lifetime totals. 0 undated publications excluded from publication-year charts.
Crossref citation coverage: 12 / 12 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.
DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.
Observation range: 21 Oct 2026 07:22 UTC — 22 Oct 2026 04:59 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.
OpenAlex affiliations and primary-topic classification. Each publication counts once per institution or country; multi-affiliated publications appear in multiple groups, so percentages can sum above 100%. Countries describe author affiliations, not nationality. Topics use one primary topic per publication.
12 / 12 with data · 0 missing or unmatched. Percentages use all 12 selected publications.
12 / 12 with data · 0 missing or unmatched. Percentages use all 12 selected publications.
12 / 12 with data · 0 missing or unmatched. Percentages use all 12 selected publications.
Citations are the latest recorded totals for articles published in each year, not citations received during that year. Crossref and OpenAlex remain separate and share the same citation scale. 2026 is incomplete; newer articles have had less time to receive citations.
0 undated publications excluded. Unknown citation counts are shown as —, never as zero. Partial coverage can understate totals; expand each table for known / total records.
| Publication year | Journal / scope | Publications | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2016 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2026 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2016 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 2 | 3 | 3/3 | 3/3 |
| 2026 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2016 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | 5 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 0 | 3 | 3/3 | 3/3 |
| 2026 | All selected publications | 0 | 2 | 2/2 | 2/2 |
Incoming citations to the selected publications, grouped by the year of the citing work. This is separate from lifetime citation totals grouped by the cited article’s publication year.
The publication filters above define which articles receive the citations. The citation-year range below only controls this chart and the incoming-citation comparison. Removing publication-year filters includes older articles’ incoming citations too.
Annual history available for 12 / 12 selected publications. Supported display window: 2017–2026; 2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Missing histories and years beyond a saved observation’s window remain unknown (—); partial coverage can understate totals.
Annual-history observations (UTC): 2026-10-21T07:22:43.043273+00:00 — 2026-10-22T04:59:29.459602+00:00. Older observations may be retained after failed or incomplete refreshes.
| Citation year | Journal / scope | OpenAlex · Citations received by year | Publications | Annual history known |
|---|---|---|---|---|
| 2017 | All selected publications | 0 | 12 | 12/12 |
| 2018 | All selected publications | 0 | 12 | 12/12 |
| 2019 | All selected publications | 0 | 12 | 12/12 |
| 2020 | All selected publications | 0 | 12 | 12/12 |
| 2021 | All selected publications | 1 | 12 | 12/12 |
| 2022 | All selected publications | 1 | 12 | 12/12 |
| 2023 | All selected publications | 4 | 12 | 12/12 |
| 2024 | All selected publications | 4 | 12 | 12/12 |
| 2025 | All selected publications | 1 | 12 | 12/12 |
| 2026 | All selected publications | 0 | 12 | 12/12 |
Counts represent citation links, not unique citing papers across a journal: one paper citing two selected articles contributes two links. Older citations outside this window are excluded, so annual sums need not equal lifetime totals. OpenAlex methodology ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2016 | 1 |
| 2017 | 1 |
| 2018 | 1 |
| 2020 | 1 |
| 2021 | 1 |
| 2022 | 1 |
| 2023 | 1 |
| 2025 | 3 |
| 2026 | 2 |
Latest Crossref totals for the selected publications; not citations received in the selected years.
Unknown counts are excluded from the mean, median and cited-publication rate.
Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.
| Journal / publisher | Publications | Crossref citations | OpenAlex citations | OpenAlex coverage | Crossref mean | Crossref median | Crossref cited %* | Crossref coverage |
|---|---|---|---|---|---|---|---|---|
| International Journal of Finance & Banking Studies SSBFNET | 6 | 5 | 10 | 6/6 | 0.83 | 1.0 | 66.7 | 6/6 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 6 | 1 | 1 | 6/6 | 0.17 | 0.0 | 16.7 | 6/6 · 100.0% |
* Percentage among publications with a known citation count.
The current research aims to examine the accounting of digital assets by linking accounting measurement theory to financial disclosure requirements, in light of the challenges related to the absence of specialized international accounting standards for digital assets. The research was divided into two parts: theoretical and applied. The theoretical part included a review of the literature related to accounting measurement (historical cost, fair value, and impairment model) and financial disclosure requirements according to International Financial Reporting Standards (IAS/IFRS) and American standards (FASB, AICPA, and SEC). The applied part used a questionnaire and administered to a sample of financial report users, including academics and professionals, to obtain their opinions on the adequacy of current measurement models, financial disclosure requirements, and shortcomings in international standards. It also explored the possibility of formulating an integrated framework for measuring and disclosing digital assets. The results of the analysis of the questionnaire showed that fair value measurement is more appropriate for the nature of digital assets than traditional models, with the need to enhance disclosure of risks associated with price volatility, liquidity, and operational risks. It also showed that the absence of a specific accounting standard for digital assets leads to poor comparability and increased variation in accounting practices across economic entities. Based on the survey results, an integrated theoretical framework for accounting for digital assets was proposed. This framework includes principles of recognition, measurement, and disclosure, and contributes to achieving the objectives of financial reporting in accordance with the International Accounting Standards Board (IASB) conceptual framework, ensuring relevance, accurate representation, comparability, clarity, and timeliness. The study concluded that developing a specialized accounting framework for digital assets represents a strategic necessity to ensure the reliability and transparency of financial reporting and enhance user confidence, given the rapid growth in the adoption of digital assets within global economic activities.
IFRS 16 addresses the criticisms against IAS 17 that allowed lessees not to recognize assets and liabilities related to operating leases. This study analyzed the impact of operating lease capitalization on 38 selected Philippine-listed companies' key financial ratios from the service sector from 2016 - 2021 under PFRS 16. Key financial ratios were calculated and compared to the changes that happened due to the adoption of PFRS 16 – Leases with firm size, firm age, inflation rate, nominal GDP growth rate and the unemployment rate as moderating variables. Mann-Whitney U Test was employed to analyze the impact of pre-and post-PFRS implementation on financial ratios. The impact of predictor variables on PFRS 16 and key financial ratios were examined using Ordinary Least Squares (OLS) regression analysis. The study result revealed a significant negative influence of PFRS 16 implementation on return on equity, price-earnings ratio, and price-to-book ratio; and a significant positive influence on the debt-equity ratio, and earnings per share. Firm age positively moderates the return on equity and PFRS 16 adoption (p = 0.032). Only the nominal GDP growth rate moderates the key financial ratio and PFRS 16 in terms of the price-earnings ratio (p = 0.019). This implies that PFRS 16 adoption significantly influences some key financial ratios. Management should reconsider their business model, especially on lease transactions, as it will impact their financial reporting. The new accounting standards must be well communicated to stakeholders considering the firm-level and macroeconomic indices for better decision making.
Revenue is one of the most important performance and size indicators for businesses. A new standard, which has more comprehensive and comparable feature to eliminate the deficiencies in the IFRS (International Financial Reporting Standart)-15 Revenue From Customer Contracts Standard published on 15.01.2019 and the old revenue (IAS-18 Revenue and IAS (Inernational Accounting Standarts) -11 Construction Contracts) standards to be applied in the accounting periods starting after 01.01.2018, has been introduced. The most important purpose of the standard is to eliminate the uncertainties and deficiencies in the old standards with a five-step model on important issues related to when and what amount of the revenue based on the contract with customers will be accounted.
 
 According to IFRS-15 Revenue From Customer Contracts Standard, which is applied for the accurate reporting of revenues, comprehensive analysis of the financial table footnotes of the businesses in the tourism sector concerning presentation of the records related to the revenue in the financial statements in the footnotes, the contracts placed with the customer of the enterprise, important evaluations in the application of the standard and the transaction costs incurred in the financial statements as an asset has been the scope of this study.
Bu ara?t?rmada, kamu iktisadi te?ekkülü olarak faaliyet gösteren Elektrik Üretim Anonim ?irketi (EÜA?) Genel Müdürlü?ü Hirfanl? Hidroelektrik Santrali (HES) ??letmesi’nin aktifinde kay?tl? maddi duran varl?klar?n?n gerçe?e uygun de?erleri ile envanter kay?tlar?nda yer alan tarihi (net) de?erleri kar??la?t?r?lm??t?r. Ara?t?rmada varl?k de?erleme çal??mas?nda; bilimsel esaslar, uluslararas? standartlar ve mevzuat?n amir hükümlerine göre gerçekle?tirilmi? ve i?letmenin varl?klar?n de?erlenmesinde piyasa de?eri (emsal de?er, ikame de?eri), maliyet yönetimi ve di?er de?erleme ölçütlerinden faydalan?lm??t?r. ??letmenin mevcut mali kay?tlar?na göre maddi duran varl?klar?n?n 2016 y?l?n?n fiyatlar? üzerinden toplam de?erinin (8.872.054,07 TL), söz konusu varl?klar?n güncel de?erinden (54.342.356,11 TL) yakla??k 6 kat daha dü?ük oldu?u ve do?al olarak i?letmenin varl?k de?erinin oldu?undan çok daha dü?ük olarak kay?tlara yans?t?ld??? dikkati çekmektedir. Ara?t?rma sonuçlar?na göre i?letmenin maddi duran varl?klar?n envanter ve de?erleme çal??malar?n?n, gerçek varl?k de?erlerinin analiz edilmesi ve ç?kan sonuçlar?n finansal yönden yorumlamas? bak?m?ndan anlaml? oldu?u ortaya konulmu?tur.

 Agricultural activity is a type of operational activity carried out by an entity to manage biological transformation and harvested biological assets to be sold or converted into agricultural products. In biological transformation, measurement is needed, which shows the value of a biological asset in fair value with the entity's economic benefits. PSAK 69 concerning agriculture has been approved by the Indonesian Financial Accounting Standards Board (DSAK IAI), and its implementation becomes effective as of 1 January 2018. PSAK 69 Agriculture regulates the accounting treatment and disclosures related to agricultural activities. This research was conducted to determine the accounting treatment of agricultural activities and the implementation of PSAK 69 to PT IJ, which is one of the entities whose business activities are engaged in the exploitation of industrial plantations. This study used qualitative research methods with interpretive paradigms and ethnomethodology approaches. Data analysis techniques were used at the time of data collection in observations, interviews with informants, and collecting documents in financial statements supporting data research. Based on the research conducted, the discussion results signify that the accounting treatment of agricultural activities at PT IJ in recognition, measurement, recording, presentation, and disclosure is in accordance with PSAK 69 concerning agriculture.
The purpose of this research is to contribute to the development of the accounting process and disclosure in the context of the disruption that brings in artificial intelligence by providing an integrated framework, from the perspective of internal development of accounting processes to the external requirements of the disclosure. The framework is based on the following five pillars: digital transformation policies; influence of artificial intelligence on the quality of accounting information; basic principles of intelligent models; governance mechanisms; and related risks. This is a descriptive and analytical study. It discussed the theoretical background and accounting implications of artificial intelligence, proposed a disclosure framework, and then it utilized content and gap analysis to determine to what extent the considered annual report met the requirements of the frameworkThe above analysis was based on the 2024 annual report of Asiacell Communications Company-Private Joint Stock Company. The disclosures of artificial intelligence, digital transformation, applications in accounting and finance, information quality, governance, and technological risk were selected and analyzed together with 24 disclosure items based on the proposed framework. The findings show a large disparity between the technological sophistication of the company and its level of accounting disclosure on artificial intelligence. The fermentations described in the present disclosure examples were at 25%, but only 25% of the disclosures were reached, and disclosures of assumptions underlying predictive models and related risks were missing. The results also suggest that the introduced framework, if adopted, would cover all the 24 disclosure items with a maximum proposed disclosure score of 100%.Also, based on model assumptions, data sources, levels of confidence, responsibilities in governance, and procedures for verification, transparency would be increased, the credibility of accounting estimates would be strengthened, the level of information uncertainty would be decreased, and the level of investor confidence in financial reports produced in an artificial intelligence milieu would be enhanced
As globalization advances and cross-border trade expands, small and medium-sized enterprises (SMEs) in emerging markets are increasingly engaged in foreign currency transactions. This development requires adherence to International Accounting Standard 21 (IAS 21), which addresses the effects of changes in foreign exchange rates. While compliance with IAS 21 is vital for ensuring accurate and comparable financial reporting, SMEs often face significant challenges in meeting these requirements due to limited financial resources, technical expertise, and access to appropriate accounting infrastructure. This integrative review consolidates existing academic and industry literature to identify key obstacles encountered by SMEs in implementing IAS 21. These challenges include difficulties in selecting appropriate exchange rates, translating foreign operations, and maintaining up-to-date accounting systems. Guided by institutional theory, contingency theory, and the resource-based view, the study examines how external institutional pressures and internal resource constraints impact compliance levels among SMEs. The review also discusses the implications for financial reporting quality, investor confidence, and policy development within emerging economies. The findings underscore the importance of simplified regulatory guidance, capacity-building efforts, and customized support frameworks to close the compliance gap and strengthen the financial transparency of SMEs operating in international markets
This study evaluates the effects and challenges faced by South African state-owned insurance enterprises in adopting International Financial Reporting Standard (IFRS) 17, mainly the effects on financial reporting and contract transparency. Research purpose: The study analyses IFRS 17’s effect on the financial reporting practices and the transparency of insurance contracts within these enterprises. This is the first study to explore IFRS 17’s effects on South African state-owned non-life insurance enterprises from a finance management and executive perspective. It aims to identify key challenges and benefits of implementation while assessing its impact on accounting information quality. A qualitative approach was used, with semi-structured virtual interviews conducted among finance executives and management. Data was analysed using ATLAS.ti software to identify themes and patterns related to IFRS 17 adoption. The study found that IFRS 17 adoption has significantly improved transparency and comparability in financial statements, enhancing clarity in presenting insurance contracts. However, challenges such as the complexity of the standard, increased demand for technical expertise and resource allocation issues were identified. It is recommended that finance executives receive additional training and support to navigate IFRS 17 complexities. Strengthening regulatory frameworks will help maximise transparency and financial reporting improvements while mitigating implementation challenges. This study provides valuable insights into IFRS 17 adoption within state-owned insurers, highlighting its benefits and challenges to support informed decision-making in the adoption and implementation of the international accounting standard.
The current research aims to examine the accounting of digital assets by linking accounting measurement theory to financial disclosure requirements, in light of the challenges related to the absence of specialized international accounting standards for digital assets. The research was divided into two parts: theoretical and applied. The theoretical part included a review of the literature related to accounting measurement (historical cost, fair value, and impairment model) and financial disclosure requirements according to International Financial Reporting Standards (IAS/IFRS) and American standards (FASB, AICPA, and SEC). The applied part used a questionnaire and administered to a sample of financial report users, including academics and professionals, to obtain their opinions on the adequacy of current measurement models, financial disclosure requirements, and shortcomings in international standards. It also explored the possibility of formulating an integrated framework for measuring and disclosing digital assets. The results of the analysis of the questionnaire showed that fair value measurement is more appropriate for the nature of digital assets than traditional models, with the need to enhance disclosure of risks associated with price volatility, liquidity, and operational risks. It also showed that the absence of a specific accounting standard for digital assets leads to poor comparability and increased variation in accounting practices across economic entities. Based on the survey results, an integrated theoretical framework for accounting for digital assets was proposed. This framework includes principles of recognition, measurement, and disclosure, and contributes to achieving the objectives of financial reporting in accordance with the International Accounting Standards Board (IASB) conceptual framework, ensuring relevance, accurate representation, comparability, clarity, and timeliness. The study concluded that developing a specialized accounting framework for digital assets represents a strategic necessity to ensure the reliability and transparency of financial reporting and enhance user confidence, given the rapid growth in the adoption of digital assets within global economic activities.
This research aims to demonstrate the role of financial statements (balance sheet) in reporting the risks faced by government units and the extent of the risks within these units, in addition to demonstrating the steps through which risks can be managed in these units, whether they are governmental or private economic units. Financial risks are one of the problems facing economic units, whether private or governmental. In turn, decision-makers, both internal and external, work to measure the financial risks facing these units. Therefore, the research problem is as follows, Do financial position statement contribute to reporting financial risks in governmental units (Baghdad Municipality)? In order to achieve the research objectives, the financial position statement of the Baghdad Municipality Department (a government unit) was used, and a set of indicators was used to reach a judgment on the presence or absence of risks, as well as the level of risks facing this unit. It was found that there is a possibility of knowing the risks through the financial position statement, in addition to discovering that the level of risks facing this unit (Baghdad Municipality) is considered high.
Source coverage refers to this result set; a publication may occur in several sources. Sync times refer to contributing journals.
Missing abstracts: 0 · Missing authors: 0 · Missing publication dates: 0 · Dates without day precision: 0
| Source | Most recent successful journal sync | Latest attempt |
|---|---|---|
| crossref | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |
| ojs-rest | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 06:46 UTC |
| oai-pmh | 20 Oct 2026 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |