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: 49 / 49 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: 21 Oct 2026 07:22 UTC — 28 Oct 2026 21:33 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.
49 / 49 with data · 0 missing or unmatched. Percentages use all 49 selected publications.
49 / 49 with data · 0 missing or unmatched. Percentages use all 49 selected publications.
49 / 49 with data · 0 missing or unmatched. Percentages use all 49 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 |
|---|---|---|---|---|---|
| 2013 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2014 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2015 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2017 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 8 | 8 | 8/8 | 8/8 |
| 2020 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2021 | All selected publications | 15 | 15 | 15/15 | 15/15 |
| 2022 | All selected publications | 5 | 5 | 5/5 | 5/5 |
| 2023 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2025 | All selected publications | 6 | 6 | 6/6 | 6/6 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2013 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2014 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 5 | 2 | 2/2 | 2/2 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 14 | 8 | 8/8 | 8/8 |
| 2020 | All selected publications | 9 | 4 | 4/4 | 4/4 |
| 2021 | All selected publications | 40 | 15 | 15/15 | 15/15 |
| 2022 | All selected publications | 14 | 5 | 5/5 | 5/5 |
| 2023 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 9 | 4 | 4/4 | 4/4 |
| 2025 | All selected publications | 6 | 6 | 6/6 | 6/6 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2013 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2014 | All selected publications | 4 | 2 | 2/2 | 2/2 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 8 | 2 | 2/2 | 2/2 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 33 | 8 | 8/8 | 8/8 |
| 2020 | All selected publications | 17 | 4 | 4/4 | 4/4 |
| 2021 | All selected publications | 65 | 15 | 15/15 | 15/15 |
| 2022 | All selected publications | 19 | 5 | 5/5 | 5/5 |
| 2023 | All selected publications | 3 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 11 | 4 | 4/4 | 4/4 |
| 2025 | 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 49 / 49 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): 2026-10-21T07:22:43.108325+00:00 — 2026-10-28T21:33:13.079313+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 | 1 | 49 | 49/49 |
| 2018 | All selected publications | 2 | 49 | 49/49 |
| 2019 | All selected publications | 5 | 49 | 49/49 |
| 2020 | All selected publications | 8 | 49 | 49/49 |
| 2021 | All selected publications | 9 | 49 | 49/49 |
| 2022 | All selected publications | 19 | 49 | 49/49 |
| 2023 | All selected publications | 22 | 49 | 49/49 |
| 2024 | All selected publications | 33 | 49 | 49/49 |
| 2025 | All selected publications | 37 | 49 | 49/49 |
| 2026 | All selected publications | 26 | 49 | 49/49 |
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 |
|---|---|
| 2013 | 1 |
| 2014 | 2 |
| 2016 | 2 |
| 2019 | 8 |
| 2020 | 4 |
| 2021 | 15 |
| 2022 | 5 |
| 2023 | 2 |
| 2024 | 4 |
| 2025 | 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 |
|---|---|---|---|---|---|---|---|---|
| Bussecon Review of Social Sciences Bussecon International Academy | 9 | 19 | 33 | 9/9 | 2.11 | 2 | 100.0 | 9/9 · 100.0% |
| International Journal of Business Ecosystem & Strategy Bussecon International Academy | 5 | 6 | 10 | 5/5 | 1.2 | 1 | 100.0 | 5/5 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 9 | 20 | 30 | 9/9 | 2.22 | 2 | 100.0 | 9/9 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 26 | 57 | 95 | 26/26 | 2.19 | 2.0 | 100.0 | 26/26 · 100.0% |
* Percentage among publications with a known citation count.
The presence of contradictory theories and unpredictable empirics calls for this paper to survey the outcome of board traits on financial operation of Nigeria banks. Financial performance of a firm is as important as the firm. Yet, very few studies have examined its impact by the board of directors in Nigeria. Data were obtained and perused using descriptive and inferential figures. Findings show that size of board has significant and constructive bearing on business piece. However, board composition takes undesirable significance. Meetings of board and gender failed to show significance. But, board member nationality and firm size show negative and significant effects. We added by exploring impacts of boards on financial performance. We asked firms to increase the size of the board and engage more independent directors and reduce the number of board diligence and size of the firm. The strong plus impact of board size and firm size on financial operations is an interesting result allowing for additional interrogation of why these behaviours.
This article assessed the impact of change management on employee performance with evidence from Nile University of Nigeria. This study made use of a descriptive survey research design. Burke Litwin model of organizational change was adopted for this study because the model explains the linkages between variables and individual and organizational performance. The population consists of 1,400 staff (Academic and Non-Academic) staff of Nile University of Nigeria Abuja. Stratified random sampling techniques were employed to select the sample size of 311 from the population. Regression analysis was used to analyze the data that was collected using a five-point likert scale structured questionnaire. The results showed that Change in organizational structure has a significance on the quality of employee service delivery in Nile University of Nigeria, there is a relationship between technological change and quality of employee service delivery in Nile University of Nigeria even though the relationship was not very strong. Leadership change significantly influences the quality of employee service delivery at Nile University of Nigeria. Human resource is an important internal strength of every organization and a source of competitive advantage, the study, therefore, recommended amongst others that organizations should communicate details of the change to the employees to minimize resistance.
The study assessed the impact of organizational culture on the performance of Small and Medium Enterprises (SMEs) in Abuja. The questionnaire used was created based on Cameron and Quinn’s Organizational Culture Assessment Instrument (OCAI) in identifying different types of organizational culture. Using a cross-sectional survey research design, the primary data was obtained through administered structured questionnaire to one hundred and twenty-seven (127) SMEs at different sampled locations in Nigeria. Pearson Product Moment Correlation analysis was used to identify the relationship that exists between the variables and the results revealed that organizational culture measured by clan culture, market culture, adhocracy culture and Hierarchy culture variables have significant relationship of r = 0.616, 0.514, 0.604 and 0.784 respectively with performance. The study concludes that organizational culture have significant influence on the performance of Small and Medium Enterprises (SMEs) in Abuja and that Hierarchy culture is found important in promoting innovative performance than the other type of culture. The study recommendation is thus that SME owners should ensure that all new employees receive a formal briefing on the company's traditions, beliefs, vision, and strategies. They should create and print a common set of procedures and policies to promote seamless discharge of duties and responsibilities in such a way that will foster innovative performance in the work place.
This paper examined the mediating role of trust in government on the influence of public governance quality indicators (accountability, political stability, government effectiveness, regulatory quality, rule of law, and control of corruption) on tax compliance in Africa. Cross-country data obtained from 38 African countries for 2015 was used and analyzed using Ordinary Least Squares (OLS) regression analysis. The study found that accountability, political stability, control of corruption, and trust have a significant influence on tax compliance among the sampled African countries, but government effectiveness, regulatory quality, and the rule of law and have insignificant influence on tax compliance. The result of the mediating effects revealed that trust mediates the influence of accountability and political stability on tax compliance in Africa. However, it failed to mediate the influence of government effectiveness, regulatory quality, rule of law, and control of corruption on tax compliance among sample African countries. The study offers theoretical insights on the role of trust as a mediator on social exchange relationships from the context of public governance quality on tax compliance. It also implies to the policymakers that building trust is an important mechanism through which the impact of public governance on tax compliance would be more pronounced. The study further calls for replication of its findings in other continents such as the Americas, Asia, and Europe.
This paper use the dynamic growth framework to model the relationship between trade liberalization policy and economic growth of 42 African countries from 1995 to 2018. Banking on the heterogeneity of income and socioeconomic factor affecting trade policies in African countries, the paper opted for the Pooled Mean Group (PMG) technique which is sufficient for inference in a dynamic heterogeneous environment. The result tells that trade liberalization policy is beneficial to economic growth of African countries up to a certain threshold, beyond which it begins to cause the economy to under-heat. Thus, a confirmation of nonlinear relationship between trade liberalization policy and economic growth in African countries. The paper estimates a threshold value of 139.94% of total Trade to GDP; 345.32% of Export to GDP and 62.80% of Import to GDP. These findings champion that, for countries in Africa to benefit largely from trade, trade openness, export openness, and import openness should rover around the estimated threshold values. The paper documents certain conditions required to moderate the effect of trade liberalization policy on economic growth in African countries.
This study examines the impacts of credit risk management on the growth of Nigerian banks. Specifically, the study focused mainly on the impacts of credit risk management among Deposit Money Banks in Nigeria. The study employed an ex-post facto research design, utilising secondary data from the financial information of 14 selected listed Deposit Money Banks from 2007 to 2022. The study population was defined as the total number of listed Deposit Money Banks, from which a sample of six banks was selected using a simple random sampling technique. The operationalisation of variables included (1) the use of natural logarithm for bank size, (2) a three-level scale for credit risk, and (3) alternative measurements for collateral management and credit scores. Data analysis involved the calculation of descriptive statistics, correlation analysis, variance inflation factors, and regression analysis. The research hypotheses are also validated to assess the significance of various factors in credit risk management. The findings revealed that credit scores significantly enhance the effectiveness of credit risk assessment, and collateral management did not significantly contribute to mitigating credit risk. The findings also revealed that default risk management significantly reduces the credit risk of Deposit Money Banks in Nigeria. These results highlight the intricate nature of credit risk management in the banking sector and emphasize the need for a multifaceted approach.
Petroleum is a gift of nature deposited under the earth’s surface. The ‘black gold’ as it is generally called, is viewed as a treasure that has the capabilities of transforming the social and economic fortunes of any country. This study explores risk management in Nigeria oil and gas sector with reference to management of government equities in the Nigerian oil and gas sector. A survey design was used for the study. By means of questionnaire, primary data was obtained from randomly selected members of the sampled organisations. The research hypotheses were subjected to chi-square analysis. Analysis was based on fifty-three copies of questionnaire filled and retrieved out of seventy-five questionnaires administered to employees of NNPC, NLNG and Shell companies in Nigeria. Findings from the study revealed some deficiencies in the way government equities in the Nigerian oil and gas sector are being managed, such lapses include government undue interference, lack of transparency, absence of established positive culture and too much bureaucracy. The study concludes that the Nigerian government equities in the oil and gas sector are not effectively managed; the fiscal policy in Nigeria’s oil and gas sector is inadequate; NNPC as presently constituted is not managing government equities invested in oil and gas JV agreements. Among the recommendations of the study include: the government should monitor returns on equities in the oil and gas sector in Nigeria; the government and stakeholders need the establishment a good culture and practice to ensure profitable ownership and collaboration.
There has been increasing studies that details the transmission channels through which financial development permeates to speed up growth to higher echelon. Studies have underpinned that financial development yield more growth when these channels are optimized. With studies on real sector performance sparse, this paper contributes to this discussion as it examined the effect of financial development in fostering industrial growth under the condition of high and low human capital endowment. This was investigated for a sample of five (5) West African Monetary Zone (WAMZ) countries from 1990 to 2022. The study developed a panel threshold regression (PTR) model where human capital functioned as threshold variable and data collected from the United Nations Conference on Trade and Development (UNCTAD), World Development Indicator (WDI) and International Monetary Fund (IMF) databases. The study finds a threshold effect of financial development on industrial sector growth. The PTR estimator shows financial development can produce more industrial growth if human capital exceeds a gross of 62.9493%. Additionally, other factors such as trade openness, natural resource rents and higher labour participation in economic activities support industrial sector growth. In the design of industrial growth enhancing policies, policy mandarins should implement measures that improve human capital and further develop the financial system by scaling up education expenditure to the UNESCO prescribed 26% of GDP, educating women, leveraging technology to improve human capital productivity and outcomes, reducing loan collateral requirements, strengthening legal frameworks, and boosting banking competition by allowing entrant of capitalized financial institutions and timely exist of insolvent ones.
Historically, corporations have leveraged the popularity of renowned celebrities as influencers to market their products in the hope that prospective clients will mimic the choice of these celebrities. This practice has become popular in recent times with the emergence of diverse social networking sites. With huge financial resources expended in retaining these celebrities, the question is whether the success achieved by brands can be attributable to them. This study investigates the use of celebrity influencers in building popularity and loyalty for American (iPhone), Korean (Samsung), and Chinese smartphones in the emerging Nigerian market. It employs a quantitative, cross-sectional design, working with 416 respondents. The findings indicate that the iPhone is the most popular brand in Nigeria and suggest that although participants express excitement with the notion of celebrity influencers and endorse their use in promotional pursuits, they hold the belief that the popularity of these brands cannot be attributable to the use of celebrities. It goes further to state that using celebrities may not foster brand loyalty. The study concludes that while it makes marketing sense, and indeed is exciting to use celebrity influencers in marketing activities, without other factors in consideration, such a strategy will not inspire customer loyalty.
Food prices in Nigeria have experienced significant increases due to rising fuel costs, unstable exchange rates, and socio-political challenges. This study examines the effects of fuel prices and exchange rate changes on food inflation using a Structural Vector Autoregressive (SVAR) model, which provides insights into both immediate and long-term impacts. Monthly data from June 2015 to May 2024 shows a stable long-term relationship between food inflation, energy prices, and exchange rates, making it clear that these factors are key drivers of inflationary trends in Nigeria. Our findings reveal that increases in fuel prices, particularly for petrol and diesel, drive up the cost of food production and transportation, with noticeable impacts appearing within three to six months. Similarly, shifts in exchange rates raise the cost of imported foods, with effects becoming evident in about two to ten months. Recent economic reforms, such as the fuel subsidy removal in 2023, have intensified inflationary pressures, exposing structural weaknesses in Nigeria’s food supply chain, including poor infrastructure and insecurity. The study recommended a direct approach to tackle food inflation, we recommend the creation of a Food Price Stabilization Fund (FPSF), which would help manage extreme price volatility caused by energy price fluctuations and exchange rate changes among others.
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 |