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: 22 / 23 publications (95.7%). 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 05:18 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.
23 / 23 with data · 0 missing or unmatched. Percentages use all 23 selected publications.
23 / 23 with data · 0 missing or unmatched. Percentages use all 23 selected publications.
23 / 23 with data · 0 missing or unmatched. Percentages use all 23 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 |
|---|---|---|---|---|---|
| 2017 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 6 | 6 | 6/6 | 6/6 |
| 2020 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2022 | All selected publications | 6 | 6 | 6/6 | 6/6 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2026 | All selected publications | 2 | 2 | 1/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2017 | All selected publications | 11 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 9 | 6 | 6/6 | 6/6 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 22 | 4 | 4/4 | 4/4 |
| 2022 | All selected publications | 22 | 6 | 6/6 | 6/6 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2026 | All selected publications | 0 | 2 | 1/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2017 | All selected publications | 23 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 23 | 6 | 6/6 | 6/6 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 31 | 4 | 4/4 | 4/4 |
| 2022 | All selected publications | 51 | 6 | 6/6 | 6/6 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| 2026 | All selected publications | 0 | 2 | 1/2 | 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 23 / 23 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): 2026-10-21T07:22:43.071927+00:00 — 2026-10-22T05:18:13.825866+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 | 23 | 23/23 |
| 2018 | All selected publications | 2 | 23 | 23/23 |
| 2019 | All selected publications | 3 | 23 | 23/23 |
| 2020 | All selected publications | 7 | 23 | 23/23 |
| 2021 | All selected publications | 11 | 23 | 23/23 |
| 2022 | All selected publications | 25 | 23 | 23/23 |
| 2023 | All selected publications | 32 | 23 | 23/23 |
| 2024 | All selected publications | 26 | 23 | 23/23 |
| 2025 | All selected publications | 19 | 23 | 23/23 |
| 2026 | All selected publications | 6 | 23 | 23/23 |
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 |
|---|---|
| 2017 | 1 |
| 2018 | 1 |
| 2019 | 6 |
| 2021 | 4 |
| 2022 | 6 |
| 2024 | 1 |
| 2025 | 2 |
| 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 | 10 | 15 | 34 | 10/10 | 1.67 | 0 | 44.4 | 9/10 · 90.0% |
| International Journal of Research in Business and Social Science SSBFNET | 13 | 52 | 97 | 13/13 | 4.0 | 3 | 76.9 | 13/13 · 100.0% |
* Percentage among publications with a known citation count.
In this paper, we investigate the definition of Fintech and measure the extent of the impact of Fintech variables on the Cybersecurity as the dependent variable. The hypotheses developed by the authors which are based on research through the statistical results of the research variables and as all correlation coefficients were a positive relationship and at the level of significance 0.01 which made the authors accept the correlation hypotheses, and for the results of the influence factor between the research variables it also had a positive effect when the level of 0.05 for all sections of the independent variable, as we have also noticed that the influence of the independent variable of financial technology when linked to all of its sections with Cybersecurity. We find the influence of the influence coefficient significantly increased to 0.908, which explains that there is a complementarity between the sections of the independent variable.
This study examines the influence of liquidity on the profitability of Iraqi commercial banks. Five banks based in Iraq namely: North bank, Iraqi Islamic bank, Sumer bank, Dar Es-Salam bank and Babylon bank randomly selected and analyzed for the current study over the period 2005 to 2013. Moreover, annual reports of these banks have studied and the main ratios of profitability and liquidity were calculated. These reports are available at Iraqi Stock Exchange site. The variables that were identified as independent for liquidity were, loan deposit ratio, deposit asset ratio and cash deposit ratio, while return on assets as dependent variable for profitability. The Ordinary Least Square (OLS) model used to examine the impact of liquidity on profitability. The study observes that any increase in liquidity ratios as above mentioned will lead return on asset to increase as well. Depending on this study it could be better for Iraqi banks to keep a balance between liquidity and profitability.
This empirical study seeks to examine the impact of resonant leadership characterized by sub-variables (mindfulness, hope, and compassion) in reducing workplace bullying in the Commerce and Industry Chamber in Sulaymaniyah City - Kurdistan Region - Iraq. For conducting this study, the data was collected through primary sources using a survey questionnaire collected data from a population consisting of (50) employees of the chamber and a sample size consisting of (45) employees. The obtained data were analyzed using statistical analysis tools by SPSS V.24 . The results showed that resonant leadership has a significant negative impact on workplace bullying. This study recommends providing the appropriate organizational environment and culture in the workplace that works to reduce workplace bullying. The outcome of the research shows that the high existence of workplace bullying, meanwhile using resonant leadership reduces workplace bullying efficiently.
In this study, the consumer perception for brand awareness and brand loyalty for two famous brands of soft drinks Coca Cola and Pepsi, has been evaluated. For this purpose, the effects of consumer perception of Coke and Pepsi were analysed for consumer association to these brands. The objectives of the study are multi fold (I) Studying onthe consumers preferences (II) to illustrate which brand’s advertisement mostly people have seen, (iii) demonstrate the reason to buy cola drinks or Pepsi drinks (iv) assessment of the creation of a top of mind awareness about COCA COLA in, Erbil KRI by providing the information to consumers. Sample size were selected 50 consumers of drinks (PePsi and Coca Cola ). Data collected and analyzed by using Microsoft office 2010 version. Results revealed that consumers of Pepsi and Coca cola most of the consumer found toward coca cola and they like coca cola as compare to Pepsi and the reason behind it is the strong taste of coca cola such as 60 % people answered that they remember more advertisement as compare to Pepsi and others. and 90% said coca cola is easily available in their approach and also 70 % people answer that they like coca cola due to its strong taste so the overall research survey for Coke and Pepsi has revealed that Coke is more adopted brand then that of Pepsi and recommendations are recommended such as perception leads to the brand loyalty, thus brands in general and Coke and Pepsi needs to focus on the point that its consumers are made to perceive more value from the brand which can come through assuring them about quality of product and other factor i.e. best price, best value, availability, trend etc.
This empirical study seeks to examine the effect of purchase intention within the scope of corporate social responsibility. Via the housing sector in Garden City in Sulaymaniyah City, Kurdistan Region, Iraq. For this study, the data was collected through primary sources using a survey questionnaire to collect data from 181 customers. The obtained data were analyzed using statistical tools like SPSS V.24. The results showed a relationship between corporate social responsibility and purchase intention. Following the recommendation, The Halabja Group should seek to increase corporate social responsibility by using the appropriate strategic direction towards achieving their goals, and that is by setting short-, medium, and long-term plans to achieve them.
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
The study's overarching goal is to confirm the reality of internal control system in the Iraqi General Tax Authority's is compatible with the most recent version of the COSO-framework and to measure the impact of adopting its components as evaluation criteria on tax revenues. By surveying a sample of senior and middle management members within the General Tax Authority, the researcher designed a questionnaire containing (93) questions as a means of measuring the study's two variables, the internal control system as the independent factor, with tax revenues serving as the dependent variable, and assessed according to the standards and guidelines of the COSO-framework. A five-part matrix including "control environment", "risk assessment", "control activities", "information & communication", and "monitoring" formed the basis of the study. The entity under examination had an average level of application of the COSO-framework's internal control elements, according to the study results. Furthermore, it only showed a statistically substantial impact on the control activities and control environment components of the framework, while the remaining components had no significant effect. This may indicate the possibility of functional overlap between them, and that their effect does not appear independently except in actual integration with the rest of the framework components, which is consistent with the integrative nature of the COSO framework. The results also indicate deficiencies in the implementation of some internal control elements, which negatively impacted tax revenues. The study concluded that the Tax Administration must restructure its internal control system by adopting international control frameworks, most notably the COSO-framework. It highlights the importance of issuing formal legislation that imposes on the government sector the necessity of adopting an integrated internal control system that serves as a guide for government units to guarantee the efficacy and efficiency of governance control.
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.
This paper portrays the literature on voluntary corporate disclosure via social media networks over the course of two decades (2002-2022) through a content analysis framework. Focusing on papers in English, Turkish and Arabic, it reviews a total of 65 studies from 15 countries, based on number of posts, type of information disclosure, time span and social media platforms used. Additionally, it provides a detailed break-down of the reported effect between voluntary disclosures on social media and a total of 37 different variables used to proxy for market, accounting, corporate governance and firm-specific (size, age and risk) measures. Drawing from an exhaustive analysis encompassing more than 51 thousand companies and nearly 70 million social media posts, the prevailing body of knowledge pertaining to corporate disclosures via social media predominantly hinges upon empirical evidence based on the United States and the United Kingdom. We feel that more country comparison studies and multi-lingual samples as well as meta-analyses could significantly improve our understanding of this field.
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 |