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: 5 / 5 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: 22 Oct 2026 01:12 UTC — 22 Oct 2026 18:22 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.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 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 | 1 | 1 | 1/1 | 1/1 |
| 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 | 0 | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2014 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 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 | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 3 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2014 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 5 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 4 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 6 | 2 | 2/2 | 2/2 |
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 5 / 5 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): 2026-10-22T01:12:07.661213+00:00 — 2026-10-22T18:22:10.375675+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 | 5 | 5/5 |
| 2018 | All selected publications | 0 | 5 | 5/5 |
| 2019 | All selected publications | 1 | 5 | 5/5 |
| 2020 | All selected publications | 1 | 5 | 5/5 |
| 2021 | All selected publications | 4 | 5 | 5/5 |
| 2022 | All selected publications | 2 | 5 | 5/5 |
| 2023 | All selected publications | 0 | 5 | 5/5 |
| 2024 | All selected publications | 5 | 5 | 5/5 |
| 2025 | All selected publications | 2 | 5 | 5/5 |
| 2026 | All selected publications | 2 | 5 | 5/5 |
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 | 1 |
| 2016 | 1 |
| 2021 | 1 |
| 2022 | 2 |
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 | 2 | 1 | 8 | 2/2 | 0.5 | 0.5 | 50.0 | 2/2 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 3 | 5 | 10 | 3/3 | 1.67 | 2 | 66.7 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
The goal of this study was to see how financial inclusion affects gender-based poverty in Nigeria. Commercial bank branches, deposits, and borrowers were the proxy for financial inclusion. The poverty index was used to measure poverty reduction. The World Development Indicator (WDI) and the CBN Statistical Bulletin 2021 provided the data for this study. Finally, the study included the years 2002 to 2019. Financial inclusion reduces household poverty in Nigeria, according to the study, which used a VAR estimate. The coefficients of commercial bank branches and commercial bank deposits were (-0.004) and (-0.008), respectively, indicating that they had a negative influence on poverty reduction. Furthermore, the study discovered that having access to credit through a financial institution was crucial in lowering poverty in Nigeria over the study period. As a result, the report recommends that steps to promote the rule of law, particularly contract enforcement and financial regulatory inspection, be implemented, resulting in more financial inclusion and a reduction in poverty and income gaps, particularly between men and women. The benefits of financial inclusion must be made more widely known, particularly in rural regions, through promoting financial literacy among the poor through education, advertising, and traditional institutions.
The improvement in the standard of living of citizenry is beyond lack of money but the poverty to access financial instruments and means to financial platforms. Such that lack of access to financial instruments and services is a major veritable channel for poverty amplification in the society. This paper examines the relationship between Mobile Money Operations (MMOs) and Financial Inclusion in the Niger Delta region of Nigeria. The paper also analysis the trends of the instruments of financial inclusion and MMOs in Nigeria from 2012 to 2019. The primary and secondary were data sourced and analyzed with the Net Balance Methods, Instruments of inferential and descriptive statistics. The survey results show a visual cycle of higher number of respondents with secondary school qualifications and less which have led to low income and an ineffective participation to mobile money and financial inclusions in the rural areas. We equally observed that poor internet and mobile networks, epileptic power supply, unclear economic policies among others are major setback for the insignificant relationship between MMOs and financial inclusion in the Niger Delta region. This implies that the growth of mobile banking and financial inclusions to facilitate financial system soundness and enhances economic growth and development required more motivations from institutions other than the financial institutions; as a ways of encouraging increased Nigerians participation. Base on the result the paper can assumes that the financial system has provided the needed instrument for citizen participation but the social and economic conditions of the country is the bottleneck for financial inclusions.
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.
<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>
Governments in developing economies are continuously seeking ways to increase the number of people that have access to formal financial services. However, literature on why households in developing economies are excluded from the formal credit sector is scarce. Thus, this study examines the link between household characteristics and the choice of credit provider using unique household-level primary data from the Niger Delta region. A binomial logistic regression model based on relevant household characteristics is developed for estimation. The results show that the number of dependents and income of a household, as well as education level and age of household head, is relevant in understanding the choice of the credit provider. Strikingly, the finding that the probability of borrowing from the informal sector increases with household distance from a formal lender at a decreasing rate suggests the significance of cost associated with traveling to the nearest bank on the choice of a lender and the presence of information asymmetry in the credit market of the region. Overall, the study raises important implications to inform credit market policies and practices in the region.
Governments in developing economies are continuously seeking ways to increase the number of people that have access to formal financial services. However, literature on why households in developing economies are excluded from the formal credit sector is scarce. Thus, this study examines the link between household characteristics and the choice of credit provider using unique household-level primary data from the Niger Delta region. A binomial logistic regression model based on relevant household characteristics is developed for estimation. The results show that the number of dependents and income of a household, as well as education level and age of household head, is relevant in understanding the choice of the credit provider. Strikingly, the finding that the probability of borrowing from the informal sector increases with household distance from a formal lender at a decreasing rate suggests the significance of cost associated with traveling to the nearest bank on the choice of a lender and the presence of information asymmetry in the credit market of the region. Overall, the study raises important implications to inform credit market policies and practices in the region.
The goal of this study was to see how financial inclusion affects gender-based poverty in Nigeria. Commercial bank branches, deposits, and borrowers were the proxy for financial inclusion. The poverty index was used to measure poverty reduction. The World Development Indicator (WDI) and the CBN Statistical Bulletin 2021 provided the data for this study. Finally, the study included the years 2002 to 2019. Financial inclusion reduces household poverty in Nigeria, according to the study, which used a VAR estimate. The coefficients of commercial bank branches and commercial bank deposits were (-0.004) and (-0.008), respectively, indicating that they had a negative influence on poverty reduction. Furthermore, the study discovered that having access to credit through a financial institution was crucial in lowering poverty in Nigeria over the study period. As a result, the report recommends that steps to promote the rule of law, particularly contract enforcement and financial regulatory inspection, be implemented, resulting in more financial inclusion and a reduction in poverty and income gaps, particularly between men and women. The benefits of financial inclusion must be made more widely known, particularly in rural regions, through promoting financial literacy among the poor through education, advertising, and traditional institutions.
The improvement in the standard of living of citizenry is beyond lack of money but the poverty to access financial instruments and means to financial platforms. Such that lack of access to financial instruments and services is a major veritable channel for poverty amplification in the society. This paper examines the relationship between Mobile Money Operations (MMOs) and Financial Inclusion in the Niger Delta region of Nigeria. The paper also analysis the trends of the instruments of financial inclusion and MMOs in Nigeria from 2012 to 2019. The primary and secondary were data sourced and analyzed with the Net Balance Methods, Instruments of inferential and descriptive statistics. The survey results show a visual cycle of higher number of respondents with secondary school qualifications and less which have led to low income and an ineffective participation to mobile money and financial inclusions in the rural areas. We equally observed that poor internet and mobile networks, epileptic power supply, unclear economic policies among others are major setback for the insignificant relationship between MMOs and financial inclusion in the Niger Delta region. This implies that the growth of mobile banking and financial inclusions to facilitate financial system soundness and enhances economic growth and development required more motivations from institutions other than the financial institutions; as a ways of encouraging increased Nigerians participation. Base on the result the paper can assumes that the financial system has provided the needed instrument for citizen participation but the social and economic conditions of the country is the bottleneck for financial inclusions.
<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>
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.
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 |