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: 3 / 3 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 01:24 UTC — 23 Oct 2026 13:08 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.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 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 |
|---|---|---|---|---|---|
| 2016 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2016 | All selected publications | 5 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2016 | All selected publications | 13 | 3 | 3/3 | 3/3 |
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 3 / 3 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): 2026-10-22T01:24:20.127869+00:00 — 2026-10-23T13:08:02.558315+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 | 3 | 3/3 |
| 2018 | All selected publications | 0 | 3 | 3/3 |
| 2019 | All selected publications | 1 | 3 | 3/3 |
| 2020 | All selected publications | 1 | 3 | 3/3 |
| 2021 | All selected publications | 2 | 3 | 3/3 |
| 2022 | All selected publications | 0 | 3 | 3/3 |
| 2023 | All selected publications | 3 | 3 | 3/3 |
| 2024 | All selected publications | 1 | 3 | 3/3 |
| 2025 | All selected publications | 4 | 3 | 3/3 |
| 2026 | All selected publications | 0 | 3 | 3/3 |
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 |
|---|---|
| 2016 | 3 |
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 | 5 | 13 | 3/3 | 1.67 | 2 | 66.7 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
This paper examines the Nigerian economy and the tendency for its growth in the face of several socio-political challenges facing the country, which have hampered the rate of economic development in spite of the tremendous human and material resources inherent. The paper identifies the socio-political challenges to include corruption, poverty, unemployment, insecurity, politics and governance, among others. The central argument of the paper is that steady economic growth can be achieved and financial crisis mitigated in Nigeria, if the effects of socio-political challenges, which are the key factors that have contributed to the high poverty, unemployment and economic instability in the country, are minimised. To ensure economic growth and move the country forward politically and economically, government must be more accountable in managing the nation’s resources in order to avoid wastage, poverty and unemployment. Close attention should be given to those socio-political challenges in the formulation of policies that aimed at maintaining economic growth at a level commensurate with the country’s growth rate. This study put forward that government must be proactive in all issues relating to the socio-political challenges to prevent resource mismanagement, poverty, unemployment, insecurity and slow economic growth in future.
Increasing trend in Non-performing loans (NPLs) adversely affected availability of credits to economic agents in all sectors of the economy thereby constraining financial intermediation and economic activities. The study examined the trend and growth rates of NPLs in the Nigerian banking system during the major banking policy reforms regimes namely: pre-consolidation (1979 – 2004) and post consolidation era (2005 – 2014). Time series data collected were analyzed using descriptive and regression analyses. Results indicated irregular fluctuations in NPLs’ trend in both periods. This result suggested prevalent high credit risk and corresponding reduction in lending capability of banks in the economy. Regression estimates of NPLs’ trend in the two regimes showed significant negative growth rates.This implies that, financial policies implemented in the country yielded positive impacts over time. NPLs assumed an exponential growth rate of -1.39% and -15.55% during the pre and post consolidated eras respectively. An average exponential growth rate of -5.2% was obtained during the entire period. Quadratic trend analysis revealed that, increase influence of time variable significantly reduced NPLs during pre- consolidation regime and the entire period considered. However, this influence was stagnated during post consolidation period. Based on the result, it is recommended that, prudent lending coupled with swift and orderly clean-up of banking system loan portfolios should be adopted to decelerate NPLs trend and growth rate in Nigeria. Time is an important element in designing and implementing any banking and macroeconomic policy.
<p><em>The study examines the perceptions of the services of the micro finance Institutions by the women service users, and how the services of micro Institutions affect businesses of the beneficiaries of the micro credit loans. The research design for the study was the survey method. The instruments of data collection were structured questionnaires and in-depth interview. A total of 450 questionnaires were administered to the female participants, and senior management personnel of the micro credit institutions were interviewed. The cluster and simple random sampling were used to select the participants for the study. The leaders of registered unions were the informants. The result reveals that the poor services and attitude of officials of micro finance institutions and other problems like the regressive tax regimes, harsh economic climate and patriarchy are negatively affecting the business ventures of the loan beneficiaries and by implication the goals of poverty reduction via micro credit scheme . The women beneficiaries are groaning under the burden of loan repayment and meeting other obligations as mothers and wives. This study is applicable in the context of social policy development at this time when social services delivery is not only poor but at dismal level. The need for gender sensitive and social development becomes imperative. It is critical to social work practice in the context of advocacy, empowerment programs, facilitating and initiating service delivery and Community organizing by social workers that will enhance the war against Poverty and other social impediments against women empowerment in Nigeria.</em></p>
Increasing trend in Non-performing loans (NPLs) adversely affected availability of credits to economic agents in all sectors of the economy thereby constraining financial intermediation and economic activities. The study examined the trend and growth rates of NPLs in the Nigerian banking system during the major banking policy reforms regimes namely: pre-consolidation (1979 – 2004) and post consolidation era (2005 – 2014). Time series data collected were analyzed using descriptive and regression analyses. Results indicated irregular fluctuations in NPLs’ trend in both periods. This result suggested prevalent high credit risk and corresponding reduction in lending capability of banks in the economy. Regression estimates of NPLs’ trend in the two regimes showed significant negative growth rates.This implies that, financial policies implemented in the country yielded positive impacts over time. NPLs assumed an exponential growth rate of -1.39% and -15.55% during the pre and post consolidated eras respectively. An average exponential growth rate of -5.2% was obtained during the entire period. Quadratic trend analysis revealed that, increase influence of time variable significantly reduced NPLs during pre- consolidation regime and the entire period considered. However, this influence was stagnated during post consolidation period. Based on the result, it is recommended that, prudent lending coupled with swift and orderly clean-up of banking system loan portfolios should be adopted to decelerate NPLs trend and growth rate in Nigeria. Time is an important element in designing and implementing any banking and macroeconomic policy.
This paper examines the Nigerian economy and the tendency for its growth in the face of several socio-political challenges facing the country, which have hampered the rate of economic development in spite of the tremendous human and material resources inherent. The paper identifies the socio-political challenges to include corruption, poverty, unemployment, insecurity, politics and governance, among others. The central argument of the paper is that steady economic growth can be achieved and financial crisis mitigated in Nigeria, if the effects of socio-political challenges, which are the key factors that have contributed to the high poverty, unemployment and economic instability in the country, are minimised. To ensure economic growth and move the country forward politically and economically, government must be more accountable in managing the nation’s resources in order to avoid wastage, poverty and unemployment. Close attention should be given to those socio-political challenges in the formulation of policies that aimed at maintaining economic growth at a level commensurate with the country’s growth rate. This study put forward that government must be proactive in all issues relating to the socio-political challenges to prevent resource mismanagement, poverty, unemployment, insecurity and slow economic growth in future.
<p><em>The study examines the perceptions of the services of the micro finance Institutions by the women service users, and how the services of micro Institutions affect businesses of the beneficiaries of the micro credit loans. The research design for the study was the survey method. The instruments of data collection were structured questionnaires and in-depth interview. A total of 450 questionnaires were administered to the female participants, and senior management personnel of the micro credit institutions were interviewed. The cluster and simple random sampling were used to select the participants for the study. The leaders of registered unions were the informants. The result reveals that the poor services and attitude of officials of micro finance institutions and other problems like the regressive tax regimes, harsh economic climate and patriarchy are negatively affecting the business ventures of the loan beneficiaries and by implication the goals of poverty reduction via micro credit scheme . The women beneficiaries are groaning under the burden of loan repayment and meeting other obligations as mothers and wives. This study is applicable in the context of social policy development at this time when social services delivery is not only poor but at dismal level. The need for gender sensitive and social development becomes imperative. It is critical to social work practice in the context of advocacy, empowerment programs, facilitating and initiating service delivery and Community organizing by social workers that will enhance the war against Poverty and other social impediments against women empowerment in Nigeria.</em></p>
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 |