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: 21 Oct 2026 00:01 UTC — 21 Oct 2026 07:23 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 |
|---|---|---|---|---|---|
| 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 | 2 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2016 | All selected publications | 3 | 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 | 0 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2016 | All selected publications | 4 | 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 | 1 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
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): 2026-10-21T00:01:59.951003+00:00 — 2026-10-21T07:23:00.719320+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 | 0 | 5 | 5/5 |
| 2020 | All selected publications | 0 | 5 | 5/5 |
| 2021 | All selected publications | 0 | 5 | 5/5 |
| 2022 | All selected publications | 0 | 5 | 5/5 |
| 2023 | All selected publications | 1 | 5 | 5/5 |
| 2024 | All selected publications | 4 | 5 | 5/5 |
| 2025 | All selected publications | 3 | 5 | 5/5 |
| 2026 | All selected publications | 0 | 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 |
|---|---|
| 2016 | 1 |
| 2021 | 2 |
| 2022 | 1 |
| 2025 | 1 |
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 | 1 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 2 | 3 | 5 | 2/2 | 1.5 | 1.5 | 50.0 | 2/2 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 2 | 1 | 3 | 2/2 | 0.5 | 0.5 | 50.0 | 2/2 · 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.
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.
This paper is driven by the vast influence oil money have on the current account balance of major oil producing countries in Africa and the role policy measures could play to soften these effects. Dwelling on the nonlinear techniques, two types of Threshold Regression were used to estimate data on 8 African countries from 1995-2019. The results show evidence of nonlinear impacts of oil revenue on the current account balances of the 8 countries. The nature of the impact relies significantly on the levels of the threshold variable. Precisely, the estimated threshold benchmark for financial development was 33.34; below this threshold the sensitivity of current account balance to crude-oil shocks is higher and the probability of policy measures to mitigate the effects is low and, beyond the threshold the sensitivity of current account balance to crude-oil shocks is low and the probability of policy measure to mitigate the effects is higher. The finding suggested among others that crude-oil shocks is not the primary problem of the current account imbalance of oil-exporting countries rather the nature of the domestic economic policy environment.
This paper investigated how oil revenue and the activities in the oil industry affected the size of income accrue to each Nigerian (Per capita income) from 1980 to 2019. The variables were sourced from the World Bank’s World Development Indicators (WDI), OPEC Statistics, Baker Hughes Rig Count and the central bank of Nigeria statistical bulletin. Using the AutoRegressive Distributional Lag (ARDL) we observed that explorative activities of crude oil in Nigeria positively impacted the size of individual income. The magnitude of the impact was massive irrespective of time; a 1% increase in exploration increases the size of individual income by 0.4786% in the long run and 0.6030% in the short run. The interaction of rigs by output (interaction of rig-count and oil-production) negatively impacted the size of individual income. This implies that the size of individual income in Nigeria is sensitive to the nature of the explorative environment of the Nigerian oil industry.
The paper provides an analysis of one of the feeblest countries that were once one of the richest. The country is actually facing several economic and political crises. This crisis originated from the continuous communist economic system and its’ heavy dependence on oil as a source of revenue. The dependence on oil and the absence of other sources put the country at high risk not for the country only but for the whole region. The paper provides an overview of the reasons for escalating the current situation and its implications on the neighbor countries and a conclusion reflecting the foreseen possible economic situations way out.
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.
This paper investigated how oil revenue and the activities in the oil industry affected the size of income accrue to each Nigerian (Per capita income) from 1980 to 2019. The variables were sourced from the World Bank’s World Development Indicators (WDI), OPEC Statistics, Baker Hughes Rig Count and the central bank of Nigeria statistical bulletin. Using the AutoRegressive Distributional Lag (ARDL) we observed that explorative activities of crude oil in Nigeria positively impacted the size of individual income. The magnitude of the impact was massive irrespective of time; a 1% increase in exploration increases the size of individual income by 0.4786% in the long run and 0.6030% in the short run. The interaction of rigs by output (interaction of rig-count and oil-production) negatively impacted the size of individual income. This implies that the size of individual income in Nigeria is sensitive to the nature of the explorative environment of the Nigerian oil industry.
The paper provides an analysis of one of the feeblest countries that were once one of the richest. The country is actually facing several economic and political crises. This crisis originated from the continuous communist economic system and its’ heavy dependence on oil as a source of revenue. The dependence on oil and the absence of other sources put the country at high risk not for the country only but for the whole region. The paper provides an overview of the reasons for escalating the current situation and its implications on the neighbor countries and a conclusion reflecting the foreseen possible economic situations way out.
This paper is driven by the vast influence oil money have on the current account balance of major oil producing countries in Africa and the role policy measures could play to soften these effects. Dwelling on the nonlinear techniques, two types of Threshold Regression were used to estimate data on 8 African countries from 1995-2019. The results show evidence of nonlinear impacts of oil revenue on the current account balances of the 8 countries. The nature of the impact relies significantly on the levels of the threshold variable. Precisely, the estimated threshold benchmark for financial development was 33.34; below this threshold the sensitivity of current account balance to crude-oil shocks is higher and the probability of policy measures to mitigate the effects is low and, beyond the threshold the sensitivity of current account balance to crude-oil shocks is low and the probability of policy measure to mitigate the effects is higher. The finding suggested among others that crude-oil shocks is not the primary problem of the current account imbalance of oil-exporting countries rather the nature of the domestic economic policy environment.
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.
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 |