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: 6 / 6 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: 22 Oct 2026 01:41 UTC — 27 Oct 2026 19:07 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.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 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 |
|---|---|---|---|---|---|
| 2019 | All selected publications | 6 | 6 | 6/6 | 6/6 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 9 | 6 | 6/6 | 6/6 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 23 | 6 | 6/6 | 6/6 |
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 6 / 6 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): 2026-10-22T01:41:19.473960+00:00 — 2026-10-27T19:07:36.888535+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 | 6 | 6/6 |
| 2018 | All selected publications | 0 | 6 | 6/6 |
| 2019 | All selected publications | 1 | 6 | 6/6 |
| 2020 | All selected publications | 5 | 6 | 6/6 |
| 2021 | All selected publications | 3 | 6 | 6/6 |
| 2022 | All selected publications | 4 | 6 | 6/6 |
| 2023 | All selected publications | 4 | 6 | 6/6 |
| 2024 | All selected publications | 3 | 6 | 6/6 |
| 2025 | All selected publications | 3 | 6 | 6/6 |
| 2026 | All selected publications | 0 | 6 | 6/6 |
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 |
|---|---|
| 2019 | 6 |
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 | 0 | 4 | 3/3 | 0.0 | 0 | 0.0 | 3/3 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 3 | 9 | 19 | 3/3 | 3.0 | 1 | 66.7 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
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 study aims to investigate the impact of HRM practices and its effect on employee’s job satisfaction in the iron and steel sector of Erbil, KRI. The objectives of the study are three fold, first to measure the degree of association between HR practices and job satisfaction. Second, to find out the impact of HR practices on job satisfaction and at last to propose some measures in order to enhance the job satisfaction level of the employees concerned to the selected iron & steel enterprises. A structured questionnaire was developed and distributed among 70 employees of three firms in Erbil, whereas 50 employees answered rightly. Most of the employees showed positive answers toward HR practices on them. This thing leads toward rejection of our Ho and acceptance of H1. Those who left behind with less positive answers main reason were found during survey that was they are with less education so that’s why they get less opportunities in order to develop themselves. Related to future research other authors can consider other variables that are not coved by this research such as staffing and package because human practices coves various range.
This paper attempts to find out why higher institution students in Duhok are not opening or having bank accounts. With the use of interview process and questionnaire, 100 students were selected from Newroz University, Dohok Polytechnic University and Dohok private technical institute in Duhok city. It was found from this study that most of these students’ approximately 90 students of them have no bank accounts while only 10 of them have bank accounts. Moreover, this research found that trust on banks, security, bad banks infrastructure, lack of money, costs of opening bank accounts, access to bank accounts and unemployment are the main reasons for low banking interest among students in Duhok city. However, the highest reason is lack of trust on Duhok banks and lack of money due to high unemployment rate. It is suggested that banks in Duhok city should encourage students to open bank accounts by advertising the importance of banking services and offer student loans. Also, Duhok government should award scholarship to student to ease the pressure from the unemployment menace in the country. Keywords: Un-bank, Bank trust, Poverty, Banking access
Non-tariff measures such as food safety and technical standards are used to achieve the non-trade objective of protecting consumers’ health and safety. On the other hand, they can also be deployed as a trade secure tool to drive a price wedge between foreign and domestic producers. This study investigates the protectionist tools of 34 developing countries food safety standards using a sample of developing countries food imported from developed and other developing countries with a specific focus on vegetables, Trunks, machinery, and tobacco. We employ theoretical framework of gravity equation by applying SGMM estimation. Our results indicate that vegetable and machinery variables are negative and statistically significant. Meaning that both variables have a negative impact on GDP, in other words, both variables are not support GDP and economic growth in the developing countries. Finally, Trunk variable is positive and statistically significant. It shows that, this variable leads to promote economic growth in the developing countries. While Tobacco is positive and statistically insignificant, meaning that this product is not play an important role in the trade sector in our sample countries.
The demonetisation footstep by the Government of India twisted complicated influences in the economy. Complete sectors of the economy had faced and produced mixed sensation results over the decision of demonetisation. India’s financial services struggled with demonetisation; on the other hand demonetisation affects utmost over the banking sector because it is substantial influenced services to transform money circulation in an Indian economy. Eradicating components of currency notes from circulation in an economy is demonetisation. It is as the processes of components of money are denied the status of legal tender. Consequently, ceased currency notes will not be account as valid currency in an economy. The term ‘demonetization’ is an instrument to shrink Inflation, Black Money, Corruption and terror funding, this step discourages a cash dependent economy in India. Government of India drive towards demonetisation has given a strong push to the popularity of digital banking and made helps with the alternative arrangements of e-banking and e –wallet to trade and commerce. Exploring the demonetisation emergence in an economy and impact on banking services ecosystem dynamics, this study take an abductive approach anchored in over 4 years of case study data regarding. The present study foremost intention is to be analysing the demonetisation impact over banking loans and advances. In this regard the present study is to be examining the pre demonetisation and post demonetisation period.
This paper attempts to find out why higher institution students in Duhok are not opening or having bank accounts. With the use of interview process and questionnaire, 100 students were selected from Newroz University, Dohok Polytechnic University and Dohok private technical institute in Duhok city. It was found from this study that most of these students’ approximately 90 students of them have no bank accounts while only 10 of them have bank accounts. Moreover, this research found that trust on banks, security, bad banks infrastructure, lack of money, costs of opening bank accounts, access to bank accounts and unemployment are the main reasons for low banking interest among students in Duhok city. However, the highest reason is lack of trust on Duhok banks and lack of money due to high unemployment rate. It is suggested that banks in Duhok city should encourage students to open bank accounts by advertising the importance of banking services and offer student loans. Also, Duhok government should award scholarship to student to ease the pressure from the unemployment menace in the country. Keywords: Un-bank, Bank trust, Poverty, Banking access
Non-tariff measures such as food safety and technical standards are used to achieve the non-trade objective of protecting consumers’ health and safety. On the other hand, they can also be deployed as a trade secure tool to drive a price wedge between foreign and domestic producers. This study investigates the protectionist tools of 34 developing countries food safety standards using a sample of developing countries food imported from developed and other developing countries with a specific focus on vegetables, Trunks, machinery, and tobacco. We employ theoretical framework of gravity equation by applying SGMM estimation. Our results indicate that vegetable and machinery variables are negative and statistically significant. Meaning that both variables have a negative impact on GDP, in other words, both variables are not support GDP and economic growth in the developing countries. Finally, Trunk variable is positive and statistically significant. It shows that, this variable leads to promote economic growth in the developing countries. While Tobacco is positive and statistically insignificant, meaning that this product is not play an important role in the trade sector in our sample countries.
The demonetisation footstep by the Government of India twisted complicated influences in the economy. Complete sectors of the economy had faced and produced mixed sensation results over the decision of demonetisation. India’s financial services struggled with demonetisation; on the other hand demonetisation affects utmost over the banking sector because it is substantial influenced services to transform money circulation in an Indian economy. Eradicating components of currency notes from circulation in an economy is demonetisation. It is as the processes of components of money are denied the status of legal tender. Consequently, ceased currency notes will not be account as valid currency in an economy. The term ‘demonetization’ is an instrument to shrink Inflation, Black Money, Corruption and terror funding, this step discourages a cash dependent economy in India. Government of India drive towards demonetisation has given a strong push to the popularity of digital banking and made helps with the alternative arrangements of e-banking and e –wallet to trade and commerce. Exploring the demonetisation emergence in an economy and impact on banking services ecosystem dynamics, this study take an abductive approach anchored in over 4 years of case study data regarding. The present study foremost intention is to be analysing the demonetisation impact over banking loans and advances. In this regard the present study is to be examining the pre demonetisation and post demonetisation period.
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 study aims to investigate the impact of HRM practices and its effect on employee’s job satisfaction in the iron and steel sector of Erbil, KRI. The objectives of the study are three fold, first to measure the degree of association between HR practices and job satisfaction. Second, to find out the impact of HR practices on job satisfaction and at last to propose some measures in order to enhance the job satisfaction level of the employees concerned to the selected iron & steel enterprises. A structured questionnaire was developed and distributed among 70 employees of three firms in Erbil, whereas 50 employees answered rightly. Most of the employees showed positive answers toward HR practices on them. This thing leads toward rejection of our Ho and acceptance of H1. Those who left behind with less positive answers main reason were found during survey that was they are with less education so that’s why they get less opportunities in order to develop themselves. Related to future research other authors can consider other variables that are not coved by this research such as staffing and package because human practices coves various range.
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 |