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: 11 / 11 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 00:21 UTC — 21 Oct 2026 00:49 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.
11 / 11 with data · 0 missing or unmatched. Percentages use all 11 selected publications.
11 / 11 with data · 0 missing or unmatched. Percentages use all 11 selected publications.
11 / 11 with data · 0 missing or unmatched. Percentages use all 11 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 |
|---|---|---|---|---|---|
| 2013 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2014 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2015 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 5 | 5 | 5/5 | 5/5 |
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2013 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2014 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 39 | 5 | 5/5 | 5/5 |
| 2020 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 10 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2013 | All selected publications | 6 | 2 | 2/2 | 2/2 |
| 2014 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | 7 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 63 | 5 | 5/5 | 5/5 |
| 2020 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 13 | 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 11 / 11 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): 2026-10-21T00:21:59.449813+00:00 — 2026-10-21T00:49:31.833318+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 | 11 | 11/11 |
| 2018 | All selected publications | 0 | 11 | 11/11 |
| 2019 | All selected publications | 2 | 11 | 11/11 |
| 2020 | All selected publications | 6 | 11 | 11/11 |
| 2021 | All selected publications | 14 | 11 | 11/11 |
| 2022 | All selected publications | 16 | 11 | 11/11 |
| 2023 | All selected publications | 15 | 11 | 11/11 |
| 2024 | All selected publications | 16 | 11 | 11/11 |
| 2025 | All selected publications | 11 | 11 | 11/11 |
| 2026 | All selected publications | 7 | 11 | 11/11 |
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 |
|---|---|
| 2013 | 2 |
| 2016 | 1 |
| 2018 | 1 |
| 2019 | 5 |
| 2020 | 1 |
| 2021 | 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 | 10 | 52 | 89 | 10/10 | 5.2 | 1.5 | 70.0 | 10/10 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 1 | 1 | 0 | 1/1 | 1.0 | 1 | 100.0 | 1/1 · 100.0% |
* Percentage among publications with a known citation count.
The main purpose of this study is to investigate inflation rate and its impact on the growth rate or to GDP growth for Eurozone countries, using panel data for the period 1997-2017, on an annual basis with a total of 257 observations. For conducting the study, and achieving results, a multiple linear regression model with the least squares regression is used. Moreover, multiple linear regression analysis has been applied in order to investigate whether Inflation rate, as an independent variable, has any significant impact on economic growth. Consequently, in order to test the data used in the model we have applied diagnostic tests, such as Durbin-Watson test to analyze the correlation of serial correlation, as well as the Breusch-Pagan test for heteroskedasticity. The tests’ results give us strong indications that the model has no relation between of serial correlation and there is no heteroskedasticity either. The study conducted shows results generated from the model, and according to the econometric results indicate that Inflation rate has positive impact on the economic growth rate for euro area.
The main purpose of this paper is to assess the impact of the deficit on GDP growth for the Eurozone area, using panel data for a period from 1995 to 2015, with a total of 257 observations. In order to conduct the study and come up with results, we have used a multiple linear regression model with the least-squares regression. Consequently, in order to test the data used in the model, we have applied diagnostic tests, such as the Durbin-Watson test to analyze the correlation of serial correlation, as well as the Breusch-Pagan test for heteroskedasticity. The test results prove that there is no heteroskedasticity and at the same time there are strong indications that the model has no relation between serial correlation. The results presented in our study show that the variables, deficit ratio to GDP, is statistically significant with a positive sign and as a result, we have the growth of the deficit ratio with GDP having a positive impact on the economic growth ratio. Keywords: Fiscal deficit, GDP Growth Rate, Correlation, Regression
The banking sector in Kosovo continues to have a high level of sustainability and financial stability. Two substantial components for the stability of the banking system appear to be liquidity and liquidity risk. The purpose of this paper is to analyze liquidity management in Kosovo's commercial banks through liquidity risk indicators from 2008 to 2017. By comparing the methodology of the data presented, the study will assess the state of management of the liquidity risk of commercial banks. From 2008 until now, commercial banks in Kosovo have had liquidity reserves at a level higher than the level required by CBK, which means that exposure to liquidity risk was minimal.
This study analyses the impact of credit risk management on financial performance of commercial banks in Kosovo, and comparing the relationship between the determinants of credit risk management and financial performance by using CAMEL indicators. Panel data of 85 observations from 2008 to 2012 of ten commercial banks was analysed using multiple regression model. Findings through multiple regression analysis are presented in forms of tables and regression equations. The study also elaborates whether capital adequacy, asset quality, management efficiency, earnings and liquidity have strong or weak relationship with financial performance of commercial banks. The study concludes that CAMEL model can be used as a system of assessment and rating of credit risk management by commercial banks in Kosovo.
By employing non-parametric methods, namely Data Envelopment Analysis and Malmquist Index, this paper investigates efficiency of banks using a database of almost all banks in four countries in South-East Europe. The superior efficiency of foreignowned banks in intermediation is supported. It is argued that the improvement in efficiency of banks originated from the change in technology rather than scale and technical efficiency, and banks on average have not been able to catch-up with best-performers, thus widening the efficiency gap. The largest sources of inefficiency are found to be cost and scale inefficiencies and lending shortfalls. Because of its peculiarities, Kosovo banking sector is assessed relative to other economies. Findings suggest that despite some improvements, the banking system in Kosovo remained less efficient. A number of policy implications emanate from the findings, aiming at enhancing the intermediation efficiency of banks in the context of South-East European transition.
The main purpose of this paper is to assess the impact of the deficit on GDP growth for the Eurozone area, using panel data for a period from 1995 to 2015, with a total of 257 observations. In order to conduct the study and come up with results, we have used a multiple linear regression model with the least-squares regression. Consequently, in order to test the data used in the model, we have applied diagnostic tests, such as the Durbin-Watson test to analyze the correlation of serial correlation, as well as the Breusch-Pagan test for heteroskedasticity. The test results prove that there is no heteroskedasticity and at the same time there are strong indications that the model has no relation between serial correlation. The results presented in our study show that the variables, deficit ratio to GDP, is statistically significant with a positive sign and as a result, we have the growth of the deficit ratio with GDP having a positive impact on the economic growth ratio. Keywords: Fiscal deficit, GDP Growth Rate, Correlation, Regression
Marketing can be considered as the connection between consumers and the management in attempt to create profit for the company. The main purpose of the research is to analyze the marketing strategies of industrial producers and processors in Kosovo and to find out which are the best marketing strategies that will lead these companies toward the growth of their market share and profit. During the research the paper finds that most of the producers we have analyzed have of proper marketing strategies used toward the company growth, including entering new markets and/or developing new products. Companies, part of this research, think more about productivity than sales and marketing and they still didn’t make the distinction between marketing and sales. We find that the behavior of most companies is geared towards productivity and not so much towards marketing and marketing strategies. Of course productivity is important, but marketing strategies can help in increasing the market share and growth, which could directly result to additional productivity needs. We also find out that there seems to be little courage in entering and exploring new markets; investing in offering new products to the market; or improving the design and quality of the products; and/or adding value to the existing products. Their growth strategies in terms of the above are still undeveloped. Therefore, there should be continuous insistence of manufacturing companies to advance marketing department, creating a special unit of market research that will help them to develop new markets and new products and make their company profitable by taking a larger market share and benefiting from diversification and proliferation. The data for research was collected through a questionnaire in 30 food producer and processor companies in Kosovo. Firstly, data has been gathered and processed through Microsoft Excel and the same data then were processed through SPSS 2.0 cross tabulation with the aim of comparing company strategies used and for testing of hypothesis.
In recent years the European countries have created a standard form for their Higher Education Systems, the Standards and Guidelines for Quality Assurance in the European Higher Education Area (ESG). In this paper, we have analyzed the levels of the Accreditation Process applied to the Higher Education Institutions (HEIs) in Kosovo and Albania, and the compliance to the ESG guidelines. Furthermore, throughout the entire paper, we have made a comparison of the standards of the Accreditation Process for the HEIs in Kosovo and Albania. In order to capture these stages, we have surveyed both the accreditation agencies and the HEIs in Kosovo and Albania. From this analysis, we came to the conclusion that the accreditation process in Kosovo and Albania for the HEIs are in compliance to the ESG standards, and there is no a huge difference appearing, although Kosova is not part of Bologna Process. The paper gives hands-on information about the accreditation process of the HEIs in Kosovo and Albania that will be in the interest of all Higher Education System designers and developers of these two countries, but also for other transitions countries.
The banking sector in Kosovo continues to have a high level of sustainability and financial stability. Two substantial components for the stability of the banking system appear to be liquidity and liquidity risk. The purpose of this paper is to analyze liquidity management in Kosovo's commercial banks through liquidity risk indicators from 2008 to 2017. By comparing the methodology of the data presented, the study will assess the state of management of the liquidity risk of commercial banks. From 2008 until now, commercial banks in Kosovo have had liquidity reserves at a level higher than the level required by CBK, which means that exposure to liquidity risk was minimal.
The main purpose of this study is to investigate inflation rate and its impact on the growth rate or to GDP growth for Eurozone countries, using panel data for the period 1997-2017, on an annual basis with a total of 257 observations. For conducting the study, and achieving results, a multiple linear regression model with the least squares regression is used. Moreover, multiple linear regression analysis has been applied in order to investigate whether Inflation rate, as an independent variable, has any significant impact on economic growth. Consequently, in order to test the data used in the model we have applied diagnostic tests, such as Durbin-Watson test to analyze the correlation of serial correlation, as well as the Breusch-Pagan test for heteroskedasticity. The tests’ results give us strong indications that the model has no relation between of serial correlation and there is no heteroskedasticity either. The study conducted shows results generated from the model, and according to the econometric results indicate that Inflation rate has positive impact on the economic growth rate for euro area.
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 |