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.
Top 5 in the selected collection · Ranked by Crossref lifetime citations. Only articles with at least one known citation are included; source totals are never combined.
2023 · Mateus Habili · Oltiana Muharremi · Meleq Hoxhaj
2023 · Rodney Boehme · Timothy Craft · Richard LeCompte
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, 00:21 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: 30 Oct 2026 17:29 UTC — 31 Oct 2026 12:58 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 |
|---|---|---|---|---|---|
| 2023 | All selected publications | 6 | 6 | 6/6 | 6/6 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 5 | 6 | 6/6 | 6/6 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 6 | 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): 2026-10-30T17:29:20.626237+00:00 — 2026-10-31T12:58:59.303632+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 | 0 | 6 | 6/6 |
| 2020 | All selected publications | 0 | 6 | 6/6 |
| 2021 | All selected publications | 0 | 6 | 6/6 |
| 2022 | All selected publications | 0 | 6 | 6/6 |
| 2023 | All selected publications | 1 | 6 | 6/6 |
| 2024 | All selected publications | 3 | 6 | 6/6 |
| 2025 | All selected publications | 1 | 6 | 6/6 |
| 2026 | All selected publications | 1 | 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 |
|---|---|
| 2023 | 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 | 6 | 5 | 6 | 6/6 | 0.83 | 0.0 | 33.3 | 6/6 · 100.0% |
* Percentage among publications with a known citation count.
Examining the reasons why Albanians use internet banking services is the focus of this paper. Due to recent technological developments, Albania's banking industry is utilizing technology for an increasing number of banking procedures. We started by presenting some of the key elements that have been identified as having a significant impact on the literature regarding the adoption of online banking, including demographic, socioeconomic, and other elements based on the technology adoption model (TAM). For our empirical research, we used primary data that was collected through surveys that various bank customers in Albania completed. The decreased desire to utilize cash appears to be a key element influencing the rise in the usage of online banking applications and services. Other important factors are the application technical issues and reduction of banking operations time as well as the application security level. The findings of this study will help banks better understand their customers' needs and will provide them with suggestions on how to make technology development plans easier.
Is credit card lending by credit unions within the United States primarily a service to members or a profit generating product? This paper examines the impact of credit card lending on the performance of U.S. credit unions from 2000-2017. A panel data approach using fixed effects regression methodology is undertaken to make comparative analyses of credit union performance across several dimensions including the percentage of the firm’s assets in credit card loans and percent of members with a credit card. Credit unions are stratified into deciles by size and significant results are found using this methodology. Controlling for delinquencies and charge-offs among other variables, credit card lending significantly increases ROA for both large and small credit unions, but only after the Financial Crisis of 2008, and the establishment of the CARD Act in 2009. Interestingly, the ROA of small credit unions significantly increases with the percentage of members using the institution’s credit card. This result suggests that small credit unions would benefit by increasing the penetration of credit cards within their membership base.
This study examines the different factors that affect the profitability of the U.S. life insurance industry. Using a panel data from 1997 to 2013 for all U.S. life insurance companies, I find that company specific variables and macroeconomic indicators are statistically significant determinants of financial performance. Most notably, the statistical analysis shows that efficiency and market share are important determinants of life insurers’ profitability in addition to growth in GDP and interest rate. There is support for the profit persistency hypothesis that previous profitability significantly affects current performance of life insurance companies. Robustness tests by insurer’s organization type provide consistent results.
Although community banks hold a small proportion of U.S. banking assets and market share, they perform a crucial function in the U.S. economy by offering vital financial services to businesses and individuals in regions where major banks do not operate. Their diseconomies of scale put them at a competitive disadvantage in relation to large, national commercial banks when coping with digital transformation and regulatory requirements. These challenges mounted after the Great Recession. This research, with the usage of four key financial ratio categories and the implementation of logit regression, looks into how U.S. community banks evolved in the aftermath of the financial crisis, 2009-2017. It divides the entire sample period into two sub-sample periods, 2009-2012 and 2013-2017, and comparing community banks with their larger counterpart and within the community bank sector between the largest and the smallest asset size quartiles of the group. This study, to the best of our knowledge, represents the only known research at the time of publication that compares recovery of banks post the Great Recession based on whether they are community or non-community banks. It finds that community banks tended to recover more slowly in terms of the bottom line, ROE, after the Great Recession than large national banks. Additionally, community banks are more likely to carry even less capital than their national counterparts in the later time period as compared with the earlier time period. In contrast, banks with higher liquidity and greater operating efficiency are more associated with community banks than non-community banks. Also, the empirical findings posit that size matters, to a certain extent. That is, while size does not command an absolute advantage, a certain threshold may be necessary for a bank to stay competitive. This provides a rationale for mergers and acquisitions taking place in the banking sector.
We examine the value relevance of intangibles reported by technology firms in electronics industries and any regional difference between Southern and non-Southern firms in the relative importance of how value relevance is reported. For technology firms, the essential asset in their valuation is intellectual property, which idiosyncratic accounting practices could have either capitalized or expensed. We are interested in the intangible assets and goodwill on balance sheets and amortization expenses from income statements, which together capture the magnitude of a firm’s intellectual property. We present evidence that the market value of a firm is negatively associated with the size of its intangibles but positively associated with the size of goodwill and amortization expenses. We find that this relationship between the market value of a firm and measures of intangibles is statistically stronger for Southern firms than for non-Southern firms. We interpret this finding as a manifestation of stronger accounting conservatism among Southern firms due to regional cultural differences. We find that the value relevance of intangibles weakened significantly during the 2008 financial crisis, and we interpret the intertemporal difference as a spillover effect of the stringent application of the fair value accounting standard (SFAS 157) to financial assets.
Is credit card lending by credit unions within the United States primarily a service to members or a profit generating product? This paper examines the impact of credit card lending on the performance of U.S. credit unions from 2000-2017. A panel data approach using fixed effects regression methodology is undertaken to make comparative analyses of credit union performance across several dimensions including the percentage of the firm’s assets in credit card loans and percent of members with a credit card. Credit unions are stratified into deciles by size and significant results are found using this methodology. Controlling for delinquencies and charge-offs among other variables, credit card lending significantly increases ROA for both large and small credit unions, but only after the Financial Crisis of 2008, and the establishment of the CARD Act in 2009. Interestingly, the ROA of small credit unions significantly increases with the percentage of members using the institution’s credit card. This result suggests that small credit unions would benefit by increasing the penetration of credit cards within their membership base.
This study examines the different factors that affect the profitability of the U.S. life insurance industry. Using a panel data from 1997 to 2013 for all U.S. life insurance companies, I find that company specific variables and macroeconomic indicators are statistically significant determinants of financial performance. Most notably, the statistical analysis shows that efficiency and market share are important determinants of life insurers’ profitability in addition to growth in GDP and interest rate. There is support for the profit persistency hypothesis that previous profitability significantly affects current performance of life insurance companies. Robustness tests by insurer’s organization type provide consistent results.
Although community banks hold a small proportion of U.S. banking assets and market share, they perform a crucial function in the U.S. economy by offering vital financial services to businesses and individuals in regions where major banks do not operate. Their diseconomies of scale put them at a competitive disadvantage in relation to large, national commercial banks when coping with digital transformation and regulatory requirements. These challenges mounted after the Great Recession. This research, with the usage of four key financial ratio categories and the implementation of logit regression, looks into how U.S. community banks evolved in the aftermath of the financial crisis, 2009-2017. It divides the entire sample period into two sub-sample periods, 2009-2012 and 2013-2017, and comparing community banks with their larger counterpart and within the community bank sector between the largest and the smallest asset size quartiles of the group. This study, to the best of our knowledge, represents the only known research at the time of publication that compares recovery of banks post the Great Recession based on whether they are community or non-community banks. It finds that community banks tended to recover more slowly in terms of the bottom line, ROE, after the Great Recession than large national banks. Additionally, community banks are more likely to carry even less capital than their national counterparts in the later time period as compared with the earlier time period. In contrast, banks with higher liquidity and greater operating efficiency are more associated with community banks than non-community banks. Also, the empirical findings posit that size matters, to a certain extent. That is, while size does not command an absolute advantage, a certain threshold may be necessary for a bank to stay competitive. This provides a rationale for mergers and acquisitions taking place in the banking sector.
We examine the value relevance of intangibles reported by technology firms in electronics industries and any regional difference between Southern and non-Southern firms in the relative importance of how value relevance is reported. For technology firms, the essential asset in their valuation is intellectual property, which idiosyncratic accounting practices could have either capitalized or expensed. We are interested in the intangible assets and goodwill on balance sheets and amortization expenses from income statements, which together capture the magnitude of a firm’s intellectual property. We present evidence that the market value of a firm is negatively associated with the size of its intangibles but positively associated with the size of goodwill and amortization expenses. We find that this relationship between the market value of a firm and measures of intangibles is statistically stronger for Southern firms than for non-Southern firms. We interpret this finding as a manifestation of stronger accounting conservatism among Southern firms due to regional cultural differences. We find that the value relevance of intangibles weakened significantly during the 2008 financial crisis, and we interpret the intertemporal difference as a spillover effect of the stringent application of the fair value accounting standard (SFAS 157) to financial assets.
The fact that publicly traded companies incur substantial costs when issuing new equity has been extensively documented in the empirical finance literature. In particular, numerous studies show that seasoned equity offerings (SEOs) tend to be priced significantly below prevailing market prices, thereby causing issuers to leave money on the table. Offer price discounting is an indirect flotation cost borne by pre-SEO shareholders that, according to extant theoretical and empirical research, arises due to asymmetric information. A heretofore unrelated literature argues that corporate multinationalism, i.e., establishing operations in one or more foreign countries, exacerbates the asymmetric information problem via greater costs to shareholders of monitoring the activities and performance of foreign subsidiaries. Motivated by these lines of thought, I investigate the relation between SEO discounting and corporate multinationalism. Using a sample of SEOs completed by U.S. firms between 1998 and 2016, I show that offer price discounting is significantly higher in offerings conducted by multinational firms relative to those conducted by purely domestic firms after controlling for known determinants of SEO discounts. This effect is stronger for multinational firms with foreign subsidiaries spread across a greater number of countries and weaker for multinationals that hire a high-reputation underwriter to lead the underwriting syndicate. These findings suggest that asymmetric information costs borne by seasoned equity issuers are increasing in the geographic scope of a firm’s operations, which can be mitigated by certification from a highly reputed lead underwriter.
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 00:21 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:21 UTC |
| ojs-rest | 21 Oct 2026 00:21 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:14 UTC |
| oai-pmh | 20 Oct 2026 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 00:22 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:21 UTC |