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: 10 / 10 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 — 29 Oct 2026 09:18 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.
10 / 10 with data · 0 missing or unmatched. Percentages use all 10 selected publications.
10 / 10 with data · 0 missing or unmatched. Percentages use all 10 selected publications.
10 / 10 with data · 0 missing or unmatched. Percentages use all 10 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 |
|---|---|---|---|---|---|
| 2018 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2022 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2018 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 8 | 3 | 3/3 | 3/3 |
| 2022 | All selected publications | 13 | 4 | 4/4 | 4/4 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2018 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 4 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 15 | 3 | 3/3 | 3/3 |
| 2022 | All selected publications | 42 | 4 | 4/4 | 4/4 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
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 10 / 10 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): 2026-10-21T07:22:43.122435+00:00 — 2026-10-29T09:18:16.195591+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 | 10 | 10/10 |
| 2018 | All selected publications | 0 | 10 | 10/10 |
| 2019 | All selected publications | 1 | 10 | 10/10 |
| 2020 | All selected publications | 0 | 10 | 10/10 |
| 2021 | All selected publications | 3 | 10 | 10/10 |
| 2022 | All selected publications | 15 | 10 | 10/10 |
| 2023 | All selected publications | 18 | 10 | 10/10 |
| 2024 | All selected publications | 17 | 10 | 10/10 |
| 2025 | All selected publications | 10 | 10 | 10/10 |
| 2026 | All selected publications | 0 | 10 | 10/10 |
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 |
|---|---|
| 2018 | 1 |
| 2019 | 1 |
| 2021 | 3 |
| 2022 | 4 |
| 2025 | 1 |
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 | 3 | 4 | 7 | 3/3 | 1.33 | 1 | 100.0 | 3/3 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 7 | 21 | 57 | 7/7 | 3.0 | 3 | 100.0 | 7/7 · 100.0% |
* Percentage among publications with a known citation count.
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.
Online education has been introduced as a tool in the learning process in the majority of international universities worldwide. The term “e-learning” is defined as “any learning that involves using the internet or intranet. In this research, we tried the check the impact of online learning upon the students of Lebanese French University Erbil, Kurdistan region Iraq. The Objectives of the study are multi-folded. Firstly, to evaluate the influence of online learning upon the performance of students and secondly, to test the motivation of online learning towards the students. For this purpose, a detailed questionnaire was developed in order to get the response of the students. The questionnaire was built up and distributed to almost eighty respondents in which we got back a perfect response in complete shape only fifty. Graph analysis has been used in order to present the response of the respondent. Mix response was recorded in which slightly negative response was in high portion. Furthermore, results showed that 60 % of respondents answered they are not happy with the online learning process and they want to have a traditional learning process that is on campus. Similarly, in each question, an extraordinary negative response toward online learning is recorded such as 76 % respondents said that they are not satisfied with this implementation of online learning. Also, they are facing hurdles and 58 % of people showed their response one of the big challenges toward online learning is a poor internet connection. 60% claimed that the instructor is not helping them to understand this whole process as a tool of online learning. The possible reason that was claimed from respondents are following: (i)This online process is first time they are interacting with,(ii) Lack of training of such online tools for the online learning process, (iii) once any student is facing trouble while this online process less support is available from the department and technical staff of the university
The aim of this research is to find, test, and explore the relationship between employee's job satisfaction and turnover intention among the academic personnel of Tishk International University in Erbil, to find whether there is a relationship between job satisfaction and turnover intention and whether job satisfaction predicts turnover intention or not. The study consisted of 98 samples chosen randomly from Tishk International University academic employees, and correlation and regression analysis were used to interpret the collected data. As a result, we have found a robust negative relationship between job satisfaction and turnover intention, and job satisfaction can significantly predict turnover intention.
Employee innovativeness in the workplace is one of the crucial factors that positively improve the long-term success of the organization. In this respect, this study proposed to investigate some of the antecedents of the innovative work behaviors in the Kurdistan Region of Iraq (KRG). To do this a survey questionnaire has been organized and in total 189 data have been collected from various companies in KRG to analyze the proposed model. The data have been evaluated by the SPSS software program, by regression analysis. The results revealed that training, supervisor support, and supportive culture have significant effects on employee innovative behaviors. Among the variables, supervisor support has the strongest impact on employee innovative behaviors. Accordingly, residential leaders are recommended to provide positive support to their followers to have innovative behaviors in the organizations.
This research aims to investigate the effect of the social customer relationship management (CRM) process on achieving superior levels of costumers and financial performance. The object of this research is the Iraqi firms at the Iraqi environment market, while the subject is more than 200 respondents. Six variables from the research data were gathered through an instrument model invalid form that structured to be measured through reliable questionnaires. Statistical Analysis of the research data used partial least squares structural equation modeling with the significance in accordance with the output of SPSS 22.0. The findings indicate that the social CRM technologies of the firms improve the innovation activities on Both (services and products). This has a positive effect on the ability to achieve high performance through building customer-linking capabilities by adopting innovations, resulting in higher levels of efficiency. In exchange, higher levels of consumer contribution lead to having positive levels of customer and financial performance.
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 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 aim of this research is to find, test, and explore the relationship between employee's job satisfaction and turnover intention among the academic personnel of Tishk International University in Erbil, to find whether there is a relationship between job satisfaction and turnover intention and whether job satisfaction predicts turnover intention or not. The study consisted of 98 samples chosen randomly from Tishk International University academic employees, and correlation and regression analysis were used to interpret the collected data. As a result, we have found a robust negative relationship between job satisfaction and turnover intention, and job satisfaction can significantly predict turnover intention.
Employee innovativeness in the workplace is one of the crucial factors that positively improve the long-term success of the organization. In this respect, this study proposed to investigate some of the antecedents of the innovative work behaviors in the Kurdistan Region of Iraq (KRG). To do this a survey questionnaire has been organized and in total 189 data have been collected from various companies in KRG to analyze the proposed model. The data have been evaluated by the SPSS software program, by regression analysis. The results revealed that training, supervisor support, and supportive culture have significant effects on employee innovative behaviors. Among the variables, supervisor support has the strongest impact on employee innovative behaviors. Accordingly, residential leaders are recommended to provide positive support to their followers to have innovative behaviors in the organizations.
Notwithstanding the increasing acknowledgment of prominence of Brand Loyalty (BL), in business performance, research efforts directed at investigating the relationship among Brand Service Quality (ServQ), Brand Experience (BE), Brand Trust (BT) and Brand Loyalty (BL) in the context of Kurdistan Region internet service industry, have largely been neglected. Therefore, the principal objective of this study is to fill this void. Service quality in this research is measured in two dimensions: technical and functional, while BE is measured in four dimensions: sensory, affective, intellectual, and behavioral. In particular, the current study seeks to explore the direct effects of Technical Service Quality (TQ) and Functional Service Quality (FQ) on consumer BE, BT and BL; and the mediating role of BE in brand service quality – brand trust relationship. Moreover, the direct impact of BT on BL along with the mediating role of BT in the BE-BL relationship will also be examined. To empirically test the posited research hypotheses, data is collected from internet consumers in Sulaymaniyah and Erbil provinces of the Kurdistan region in Iraq. In total, 485 internet users were interviewed in the region. The collected data were analyzed using IBM AMOS 23. Findings demonstrate that the Technical Quality of internet services impacts Brand Experience more positively than Functional Quality does. On the contrary, Functional Quality affects the customer Brand Trust directly while Technical Quality does not have any direct impact on the customer Brand Trust. Secondly, It is also observed that Brand Experience significantly mediates the relations between Technical Quality and Brand Trust. The direct impact of the Functional Quality on Brand Trust was stronger than the mediation effect of Brand Experience between Functional Quality and Brand Trust. It was observed that Brand Trust had a significant impact on customer Brand Loyalty. Lastly, Brand Trust significantly mediates the relations between Brand Experience and Brand Loyalty.
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 |