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.
2020 · Talitha Nathaniela Nariswari · Nugi Mohammad Nugraha
2017 · Oluwaseyi Ebenezer Olalere · Wan Ahmad Bin Omar · Syahida Kamil
2019 · Nexhat Kryeziu · Esat Ali Durguti
2015 · Serhat Yuksel · Hasan Dincer · Umit Hacioglu
2020 · Diekolola Oye
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: 476 / 509 publications (93.5%). 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: 21 Oct 2026 00:21 UTC — 21 Oct 2026 00:22 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.
390 / 509 with data · 119 missing or unmatched. Percentages use all 509 selected publications.
390 / 509 with data · 119 missing or unmatched. Percentages use all 509 selected publications.
504 / 509 with data · 5 missing or unmatched. Percentages use all 509 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 |
|---|---|---|---|---|---|
| 2012 | All selected publications | 6 | 6 | 6/6 | 6/6 |
| 2013 | All selected publications | 29 | 29 | 29/29 | 29/29 |
| 2014 | All selected publications | 26 | 26 | 26/26 | 26/26 |
| 2015 | All selected publications | 15 | 15 | 15/15 | 15/15 |
| 2016 | All selected publications | 72 | 72 | 72/72 | 72/72 |
| 2017 | All selected publications | 20 | 20 | 20/20 | 20/20 |
| 2018 | All selected publications | 20 | 20 | 20/20 | 16/20 |
| 2019 | All selected publications | 35 | 35 | 35/35 | 35/35 |
| 2020 | All selected publications | 41 | 41 | 41/41 | 41/41 |
| 2021 | All selected publications | 44 | 44 | 44/44 | 44/44 |
| 2022 | All selected publications | 41 | 41 | 41/41 | 41/41 |
| 2023 | All selected publications | 33 | 33 | 33/33 | 33/33 |
| 2024 | All selected publications | 32 | 32 | 32/32 | 32/32 |
| 2025 | All selected publications | 70 | 70 | 62/70 | 70/70 |
| 2026 | All selected publications | 25 | 25 | 0/25 | 24/25 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2012 | All selected publications | 25 | 6 | 6/6 | 6/6 |
| 2013 | All selected publications | 56 | 29 | 29/29 | 29/29 |
| 2014 | All selected publications | 53 | 26 | 26/26 | 26/26 |
| 2015 | All selected publications | 55 | 15 | 15/15 | 15/15 |
| 2016 | All selected publications | 100 | 72 | 72/72 | 72/72 |
| 2017 | All selected publications | 86 | 20 | 20/20 | 20/20 |
| 2018 | All selected publications | 26 | 20 | 20/20 | 16/20 |
| 2019 | All selected publications | 96 | 35 | 35/35 | 35/35 |
| 2020 | All selected publications | 169 | 41 | 41/41 | 41/41 |
| 2021 | All selected publications | 82 | 44 | 44/44 | 44/44 |
| 2022 | All selected publications | 52 | 41 | 41/41 | 41/41 |
| 2023 | All selected publications | 62 | 33 | 33/33 | 33/33 |
| 2024 | All selected publications | 44 | 32 | 32/32 | 32/32 |
| 2025 | All selected publications | 31 | 70 | 62/70 | 70/70 |
| 2026 | All selected publications | — | 25 | 0/25 | 24/25 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2012 | All selected publications | 62 | 6 | 6/6 | 6/6 |
| 2013 | All selected publications | 139 | 29 | 29/29 | 29/29 |
| 2014 | All selected publications | 109 | 26 | 26/26 | 26/26 |
| 2015 | All selected publications | 167 | 15 | 15/15 | 15/15 |
| 2016 | All selected publications | 330 | 72 | 72/72 | 72/72 |
| 2017 | All selected publications | 206 | 20 | 20/20 | 20/20 |
| 2018 | All selected publications | 58 | 20 | 20/20 | 16/20 |
| 2019 | All selected publications | 180 | 35 | 35/35 | 35/35 |
| 2020 | All selected publications | 348 | 41 | 41/41 | 41/41 |
| 2021 | All selected publications | 193 | 44 | 44/44 | 44/44 |
| 2022 | All selected publications | 111 | 41 | 41/41 | 41/41 |
| 2023 | All selected publications | 84 | 33 | 33/33 | 33/33 |
| 2024 | All selected publications | 49 | 32 | 32/32 | 32/32 |
| 2025 | All selected publications | 32 | 70 | 62/70 | 70/70 |
| 2026 | All selected publications | 0 | 25 | 0/25 | 24/25 |
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 504 / 509 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): 2026-10-21T00:21:59.414879+00:00 — 2026-10-21T00:22:06.636292+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 | 56 | 509 | 504/509 |
| 2018 | All selected publications | 89 | 509 | 504/509 |
| 2019 | All selected publications | 121 | 509 | 504/509 |
| 2020 | All selected publications | 155 | 509 | 504/509 |
| 2021 | All selected publications | 219 | 509 | 504/509 |
| 2022 | All selected publications | 255 | 509 | 504/509 |
| 2023 | All selected publications | 343 | 509 | 504/509 |
| 2024 | All selected publications | 327 | 509 | 504/509 |
| 2025 | All selected publications | 244 | 509 | 504/509 |
| 2026 | All selected publications | 133 | 509 | 504/509 |
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 |
|---|---|
| 2012 | 6 |
| 2013 | 29 |
| 2014 | 26 |
| 2015 | 15 |
| 2016 | 72 |
| 2017 | 20 |
| 2018 | 20 |
| 2019 | 35 |
| 2020 | 41 |
| 2021 | 44 |
| 2022 | 41 |
| 2023 | 33 |
| 2024 | 32 |
| 2025 | 70 |
| 2026 | 25 |
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 | 509 | 937 | 2068 | 504/509 | 1.97 | 1.0 | 56.3 | 476/509 · 93.5% |
* Percentage among publications with a known citation count.
As an industry that has an important role for other industrial sectors, the plastic and packaging industry is the supply chain for consumer products. Behind the high industrial growth and the potential is still large, there are problems with plastic waste, consumption power, and changes in people's lifestyles that can affect the growth of the plastic and packaging industry. This study aims to determine how much impact the NPM (Net Profit Margin), GPM (Gross Profit Margin), TAT (Total Assets Turnover) on Profit Growth in the plastic and packaging industry sub-sector companies listed in IDX (Indonesia Stock Exchange) for the period 2014 to 2018. The method used in this study is a quantitative descriptive. The sampling technique used was purposive sampling in order to obtain a sample of 11 companies from a population of 12 companies. In the study the method of data analysis used the multiple linear regression analysis techniques by processing data using Eviews 8, because the data is not normally distributed, it uses the log transformation method. The results showed that simultaneously NPM (Net Profit Margin), GPM (Gross Profit Margin), TAT (Total Assets Turnover) had a significant effect on profit growth. And partially NPM (Net Profit Margin) has a significant effect on profit growth, while GPM (Gross Profit Margin) and TAT (Total Assets Turnover) have no significant effect on profit growth.
The study examines the bank-specific and macroeconomic determinants of banks profitability in Nigeria analyzing audited financial reports of selected sixteen (16) commercial banks over the period of 2010 to 2015 making up to 96 observations. The study identified that existing studies are sketchy in developing economies even though many studies have emerge in developed economies. The bank profitability is measured by return on assets and return on equity as function of bank-specific and macroeconomic determinants. Using the balanced panel data set, the empirical results of the study shows that capital adequacy and liquidity have a positive and significant effect on bank profitability. However, efficiency ratio have a negative and significant effect on bank profitability. With regards to macroeconomic variable, GDP growth also have a positive and significant impact on banks profitability. The empirical results of the study suggested that banks can improve their profitability through increasing capital and liquidity, decreasing operating cost with conscious effort to maintain transparency in their operations. In addition, a good economic environment for financial institutions foster increase in bank profitability. Hence, the study recommends that further studies can expand the scope while extending to other industries as well.
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.
This paper demonstrates the relationship between CAMELS ratios and credit ratings of deposit banks in Turkey. Annual data was used for the period between 2004 and 2014 in this study. Moreover, 20 deposit banks of Turkey were analyzed and 21 different ratios of CAMELS components were used. In addition to that, credit ratings of these banks were provided from Moody’s corporation or annual activity reports of the banks. After that, we created multi nominal logistic regression analysis in order to illustrate the relationship. The major finding in this study is that three components (Asset Quality, Management Quality, and Sensitivity to Market Risk) of CAMELS have effects on credit ratings whereas the ratios related to Capital Adequacy and Earnings are not effective. As a result, it was recommended that Turkish deposit banks should concentrate on the percentage of fixed assets and interest income to have a better rating. Moreover, having high market share with respect to total assets and lower interest expense are also other important points for this purpose. On the other hand, Turkish deposit banks should control the proportion of financial assets and increase the amount of FX liquid assets to prevent credit ratings to decrease. Additionally, market share of banks for loans should not reach at high level for this objective.
Increase in losses borne by banks as a result of inadequate operational risk management practices and the adverse impact on banks’ financial performance has been a major concern to bank management and regulators. This study analysed the impact of operational risk management practices on the financial performance of commercial banks in Nigeria. 10-years (2008 - 2017) secondary data extracted from audited financial statements of selected commercial banks in Nigeria was used for the study. The data was analysed using the Linear Multiple Regression Model. The results showed that there is a positive relationship between operational risk management and the financial performance of banks. The findings revealed that sound operational risk management practices impact positively on the financial performance of banks. We, therefore, recommend that banks’ management should deploy adequate resources towards understanding operational risk to ensure sound operational risk management and improved financial performance of banks.
Maintaining adequate liquidity while preserving profitability remains a central challenge for commercial banks because liquid assets strengthen resilience but typically generate lower returns than loans and other earning assets. This study investigates the effect of liquidity on the profitability of U.S. commercial banks using 8,000 quarterly bank observations for 2010–2024. Profitability is measured by return on assets (ROA), with return on equity (ROE) used for robustness, while liquidity, capital adequacy, the loan-to-asset ratio, and bank size are modeled as explanatory variables. Pooled OLS, fixed-effects, and random-effects estimators are compared, and diagnostic tests support a two-way fixed-effects model with standard errors clustered by bank and quarter. The preferred estimates show that a one-percentage-point increase in the liquidity ratio reduces annualized ROA by 0.0183 percentage points (SE = 0.0031; p < 0.001). A one-standard-deviation rise in liquidity, equal to 5.52 percentage points, lowers ROA by approximately 0.101 percentage points, representing 9.2% of the sample mean ROA of 1.097%. Capital adequacy increases ROA by 0.0530 percentage points, and the loan-to-asset ratio increases it by 0.0148 percentage points, both at p < 0.001, whereas bank size is insignificant (β = 0.1008; p = 0.352). The ROE robustness model also yields a negative liquidity coefficient of −0.1074 (p < 0.001). The findings confirm a measurable liquidity–profitability trade-off and support risk-sensitive liquidity regulation that protects financial stability without encouraging persistently excessive holdings of low-yield liquid assets.
This study examines whether risk asset exposure affects the financial performance of commercial banks in Cameroon, a bank-dominated economy of the Central African Economic and Monetary Community (CEMAC). Risk asset exposure is measured by lending intensity (the loan-to-deposit ratio) and credit expansion (annual loan growth), and performance by return on assets (ROA). The data form a balanced panel of ten commercial banks over 2014–2024, compiled from the prudential reporting system of the Central African Banking Commission (COBAC) as published by Cameroon's National Economic and Financial Committee. Bank fixed-effects regressions with bank-clustered standard errors are complemented by a wild-cluster bootstrap suited to few clusters, Driscoll–Kraay standard errors, lagged regressors, panel Granger non-causality tests and a within–between (Mundlak) decomposition that separates changes in a bank's own exposure from persistent differences between banks. The main findings are that (i) neither lending intensity nor credit expansion is significantly associated with profitability in any specification (bootstrap p = 0.81 and 0.30), and the confidence intervals exclude effects larger than about one percentage point of ROA; (ii) lending intensity is unrelated to profitability both within banks over time and between banks (between-effect bootstrap p = 0.88); and (iii) the COVID-19 years of 2020–2021 were associated with ROA about 0.70 percentage points lower (bootstrap p = 0.009). The results indicate a limited role for lending exposure, while significant bank fixed effects and the COVID-19 coefficient point to persistent bank heterogeneity and common systemic shocks. Because the sample comprises ten banks under a single regulator, the findings should be interpreted with caution.
Monitoring and Evaluation (M&E) are fundamental processes that provide administrators, policymakers, and stakeholders with methods for learning from experience and improving implementation through the reallocation of resources. However, the success of these interventions depends heavily on effective project monitoring and evaluation (M&E) practices. This study therefore examined the effect of project monitoring and evaluation practices on the success of the rural school feeding program in Rutsiro District, Rwanda. The specific objectives were to determine the effect of an M&E baseline survey on the success of the rural school feeding program in Rutsiro District; analyze the effect of M&E planning on program success; assess the effect of M&E data management on program success; and evaluate the effect of M&E stakeholder involvement on program success. The study adopted both the Theory of Change and Utilization-Focused Evaluation. It used descriptive and correlational research designs and adopted a census approach involving 103 respondents, including 89 teachers, 10 staff members, two representatives of school feeding committees at the school level, and two SEIs. Data were collected through questionnaires, interviews, and document reviews. A pilot test was conducted with 10 respondents to determine the instrument's ability to produce consistent results over time. Data were analyzed using descriptive and inferential statistics, including correlation and regression analyses. The findings revealed that all M&E components (baseline survey, planning, data management, and stakeholder involvement) had a strong and significant positive influence on program success. Respondents showed high levels of agreement, indicating that effective M&E practices improve decision-making, resource allocation, accountability, and overall program performance. The study concluded that well-implemented M&E systems are essential for enhancing the effectiveness, sustainability, and impact of rural school feeding programs. Based on these findings, the study recommends strengthening baseline surveys, improving M&E planning frameworks, enhancing data management systems, promoting active stakeholder involvement, and ensuring adequate resource allocation to support long-term program success.
Research Originality: This study investigates the relationship between inventory management and profitability within the textiles industry in Bangladesh, emphasizing the key factors that significantly enhance the industry's profitability. Research Objectives: This analysis investigates how various factors, including total assets, total equity, total revenue, share capital, retained earnings, finished items, work in progress, and raw materials, impact profit after tax (PAT). Research Methods: The data spans from 2011 to 2023 and encompasses 46 textile companies listed on the Dhaka Stock Exchange (DSE). To conduct this study, different models like Pooled Ordinary Least Square (POLS), Second Stage Least Square (2SLS), Generalized Method of Moments (GMM) are utilized. Empirical Results: Through the application of techniques including Pooled Ordinary Least Squares (POLS), Two-Stage Least Squares (2SLS), and the Generalized Method of Moments (GMM), we have established that total assets exhibit a significant negative correlation with PAT in both the POLS and 2SLS models. On the other hand, there is a notable positive correlation between total revenue and retained earnings on PAT across all 2SLS, POLS, and GMM models. The share capital shows a negative correlation with PAT in all three models: 2SLS, POLS, and GMM. The main independent variable, which is our fundamental focus, shows that finished goods have a positive correlation with PAT; however, this correlation lacks significance. The raw materials exhibited a negative correlation with PAT, and this relationship is significant. The correlation between Packing Materials and PAT is notably positive. This study highlights the importance of strategies that could facilitate sustainable growth in the textile industry.
The study was directed by the following specific objectives: (i) to examine the impact of the result-based approach on the performance of the National Agriculture Insurance Scheme, and (ii) to analyze the effect of the participatory approach on the performance of the scheme, and (iii) to investigate the role of the reflexive approach in enhancing the program’s outcomes. The theoretical framework drew on decision-making theory, agricultural insurance theory, and contingency theory. The target group for this study comprises roughly 1,463 people. From this group, a stratified sampling technique was been employed to select 313 respondents. Information for the research obtained via questionnaires, interviews, and document analysis, including monthly district reports. The instruments were pilot-tested, resulting in a Cronbach’s alpha of 0.94, which confirms strong reliability. Data analysis involved descriptive and inferential statistics, specifically correlation and regression at a 0.05 significance level, with the assistance of SPSS Version 28. Ethical standards was upheld by securing informed consent from participants and ensuring the confidentiality of all responses.
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 |