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 OpenAlex lifetime citations. Only articles with at least one known citation are included; source totals are never combined.
2014 · Ahmed Zemzem · Oumeїma Kacem
2014 · Srinivasan Palamalai · Karthigai Prakasam
2014 · Adam Zaremba
2014 · Dipayan Roy
2014 · Victor Nilsson · Joakim Nordstrom · Krister Bredmar
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: 26 / 26 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: 22 Oct 2026 00:26 UTC — 28 Oct 2026 21:34 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.
19 / 26 with data · 7 missing or unmatched. Percentages use all 26 selected publications.
19 / 26 with data · 7 missing or unmatched. Percentages use all 26 selected publications.
26 / 26 with data · 0 missing or unmatched. Percentages use all 26 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 |
|---|---|---|---|---|---|
| 2014 | All selected publications | 26 | 26 | 26/26 | 26/26 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2014 | All selected publications | 53 | 26 | 26/26 | 26/26 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2014 | All selected publications | 109 | 26 | 26/26 | 26/26 |
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 26 / 26 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): 2026-10-22T00:26:59.303309+00:00 — 2026-10-28T21:34:32.807335+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 | 3 | 26 | 26/26 |
| 2018 | All selected publications | 5 | 26 | 26/26 |
| 2019 | All selected publications | 6 | 26 | 26/26 |
| 2020 | All selected publications | 11 | 26 | 26/26 |
| 2021 | All selected publications | 11 | 26 | 26/26 |
| 2022 | All selected publications | 10 | 26 | 26/26 |
| 2023 | All selected publications | 9 | 26 | 26/26 |
| 2024 | All selected publications | 13 | 26 | 26/26 |
| 2025 | All selected publications | 13 | 26 | 26/26 |
| 2026 | All selected publications | 4 | 26 | 26/26 |
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 |
|---|---|
| 2014 | 26 |
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 | 26 | 53 | 109 | 26/26 | 2.04 | 1.0 | 69.2 | 26/26 · 100.0% |
* Percentage among publications with a known citation count.
The aim of our research is to investigate the relationship between risk management, corporate governance and performance in lending institutions. Mainly, this research seeks to examine the effect of risk management and some board’s features on financial performance. Empirical analyses are conducted from a sample of 17 Tunisian lending institutions over the period 2002-2011 using an OLS regression. The study shows that board size affect performance significantly. Most importantly, the existence of a risk committee within the institution has a negative and significant effect on performance.
The link between stock market development and economic activity has always been the subject of considerable debate in the field of economics and it raises empirical question whether stock market development influences economic activity or whether it is a consequence of increased economic activity. This study attempts to investigate the direction of causality between stock market development and economic growth in the Indian context. Using the cointegration and causality tests for the period June 1991 to June 2013, the study confirms a well defined long-run equilibrium relationship between the stock market development indicators and economic growth in India. The empirical results show bidirectional causality between market capitalisation and economic growth and unidirectional causality from turnover ratio to economic growth in the long-run and short-run. By and large, it can be inferred that the stock market development indicators viz. market capitalisation and turnover ratio have a positive influence on economic growth in India.
Banks had a large part in the developments taking place in the years after the outbreak of the crisis in 2007, as many banks had an excessively low capital base, involving too much risk in its businesses. In this study, the largest four banks in Sweden have been investigated. The financial crisis affected the banks differently, depending on the markets of expansion. Excessive risk-taking has been found, where one bank expanded aggressively into new markets and did not appreciate the risks on these new markets. CEO compensation and risk seeking boards are factors that might have caused such behaviour. All of the banks have made noticeable changes to their capital structure, increasing it annually, accompanied by a risk-reduction movement in their assets to improve the stability in most of the banks. The new regulation’s focus on both quality and quantity is in accordance with the views that are expressed in the framework. The banks have altered their goals to levels several per cent above the regulations, in contrast to before the crisis when they were often as close as possible. The impact of the new liquidity regulations has been limited, as the banks continue to work with their internal measures. The banks have all changed their view of capital ratio and liquidity, where many of the banks have doubled the amount of these posts and now find these measures to be both beneficial and a way to gain trust and stability.
The proactively evolved banking regulations in the Indian Banking sector under the authorative directive of the Reserve bank of India (RBI) has often brought about a change in the business strategy, capital structure and operations of the banks in the Indian banking sector. During these events of continuous change and adoption of Basel norms, we analyse the efficiency of the Indian banking sector with using Data Envelopment Analysis across three economic eras andacross the different ownership structures. The determinants of efficiency are selected on the basis of intermediation approach. We also attempt to identify whether the inefficiency arises from managerial incompetence or improper size and resource allocation. From our analysis, we identify the main cause of inefficiency in the Indian Banking sector to be arising out of improper size allocation.
The purpose of this paper is to investigate whether there is an optimal capital structure at which point firm is able to maximize its value. The author employ an advanced panel threshold regression estimation developed in 1999 by Hansen that will indicate whether there are positive and negative impacts of capital structure on firm value. The author has used data of among 90 unlisted Seafood Processing Enterprises in the South Central region of Vietnam (SEASCRs) during 2005–2011 period. The author has used book value of equity plus long- term debt (BVE) and return on equity (ROE) as surrogate for firm value and book value of total debt to total assets (TD/TA) as surrogate for capital structure and as the threshold variable. The empirical results strongly indicate that triple threshold effect exists between debt ratio and firm value when BVE is selected to proxy firm value. However, when ROE is selected to proxy firm value, the result shows that there exists double thresholds effect between debt ratio and firm value. From these results, the author may conclude that the relationship between capital structure and firm value has a nonlinear relationship represents an convex Parapol shape. In addition, the findings suggest implications for SEASCRs on flexible usage of financial leverage. Specifically, SEASCRs should not use loans over 57.39%. To ensure and enhance the firm value, the scope of the optimal debt ratio should be less than 57.39%.
Many U.S. banks failed or performed poorly during the recent financial crisis. Although the costliest failures were large institutions, the majority of failures were community banks (less than $1 billion in total assets). Community banks, which are considered instrumental in small business lending and employment growth, face different risks and challenges than their larger counterparts, including a lack of economies of scale and scope and exclusion from “too-big-to-fail” status. These challenges, coupled with the recent failures, motivate research into potential strategies managers can use to improve performance. This study examined the relationship between three potential diversification strategies and community bank risk-adjusted performance from 2007 to 2011. Understanding these relationships could improve management’s decision-making, allowing them to choose risk-mitigating strategies during a severe economic downturn. Herfindahl-Hirschman Indexes (HHIs) were calculated as proxies for geographic, activity, and asset diversification. Multiple regression models for each of the five years were used to calculate the impact of diversification variables on risk-adjusted ROA. The results show that diversification in all areas is directly related to performance; however, only the asset diversification relationship is significant. To the extent possible for community banks, diversification may improve risk-adjusted performance.
Islamic banking is based on profit and loss mechanism where the use of interest is prohibited. Unlike conventional banks, these banks do not charge a specific rate of interest, rather provides financing in exchange for profit sharing. However, there are studies claiming that, in practice, Islamic banking is same as conventional banking with regard to the use of interest. It is also claimed that, Islamic deposits are not interest-free, but are closely attached to conventional deposits. On this background, the objective of this study is to examine the relationship between pricing in Islamic banks vis-à-vis conventional banks by taking the case of Bangladesh. We have used monthly data during the period of 2009-2013. The findings of the study showed that, there is no statistically significant difference between the monthly average lending rates of Islamic banks and conventional banks. However, there is significant difference between deposit rates. The existence of causal relationship was inconclusive, and requires further analysis.
The aim of this paper is to study the relationship between earnings management, governance and investors behavior, since this latter can inform about the nature of earnings management and can be considered as a governance mechanism to reduce accounts manipulations. On the basis of a sample of 700 American firms for the period of 1996-2006, our empirical results show that investors who take short positions, are able to interpret the information detected from the earnings management. The activity of these investors may be considered as an indicator of the quality of the governance structure and the presence and nature of earnings management. The under-reaction of investors to information leads to short-term sale of the shares of poorly governed firms and characterized by an opportunistic earnings management and to invest in firms well-governed and characterized by an informational earnings management therefore an abnormal profit can be realized.
The link between stock market development and economic activity has always been the subject of considerable debate in the field of economics and it raises empirical question whether stock market development influences economic activity or whether it is a consequence of increased economic activity. This study attempts to investigate the direction of causality between stock market development and economic growth in the Indian context. Using the cointegration and causality tests for the period June 1991 to June 2013, the study confirms a well defined long-run equilibrium relationship between the stock market development indicators and economic growth in India. The empirical results show bidirectional causality between market capitalisation and economic growth and unidirectional causality from turnover ratio to economic growth in the long-run and short-run. By and large, it can be inferred that the stock market development indicators viz. market capitalisation and turnover ratio have a positive influence on economic growth in India.
The purpose of this paper is to investigate whether there is an optimal capital structure at which point firm is able to maximize its value. The author employ an advanced panel threshold regression estimation developed in 1999 by Hansen that will indicate whether there are positive and negative impacts of capital structure on firm value. The author has used data of among 90 unlisted Seafood Processing Enterprises in the South Central region of Vietnam (SEASCRs) during 2005–2011 period. The author has used book value of equity plus long- term debt (BVE) and return on equity (ROE) as surrogate for firm value and book value of total debt to total assets (TD/TA) as surrogate for capital structure and as the threshold variable. The empirical results strongly indicate that triple threshold effect exists between debt ratio and firm value when BVE is selected to proxy firm value. However, when ROE is selected to proxy firm value, the result shows that there exists double thresholds effect between debt ratio and firm value. From these results, the author may conclude that the relationship between capital structure and firm value has a nonlinear relationship represents an convex Parapol shape. In addition, the findings suggest implications for SEASCRs on flexible usage of financial leverage. Specifically, SEASCRs should not use loans over 57.39%. To ensure and enhance the firm value, the scope of the optimal debt ratio should be less than 57.39%.
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 |