CiteNScope — Scholarly Index & Analytics
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Research across participating journals · All insights follow your collection filters.

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OpenAlex coverage 100.0% · 3/3 recordsLast OpenAlex observation 22 Oct 2026, 05:44 UTC
PUBLICATIONS3In the selected collection
CROSSREF CITATIONS53/3 with known counts
OPENALEX CITATIONS63/3 with known counts
OPENALEX MEAN2.0Per article with a known count
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topic: Market Dynamics and Volatility Remove ×
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Output and reach

Publication activity alongside incoming citations.

Publication activity

Articles grouped by publication year

Publications

Hover over a year or focus the chart and use arrow keys to inspect values.

2026 is year to date. 0 undated publications excluded.

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Citations received

OpenAlex · year of the citing work

OpenAlex

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.

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Research landscape

Leading affiliations and themes in this collection.

Full distributions & methodology ↓

Institutions

University of Port Harcourt11/3 records with data

Countries

Nigeria11/3 records with data

Primary topics

Market Dynamics and Volatility33/3 records with data
Two perspectives on citations

Follow the research impact

Independent sources. Clear time scales.

Lifetime citations by publication year

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.

View data & coverage

Citations received each year

OpenAlex · incoming citation links grouped by citing-work year

OpenAlex

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.

View data & coverage
Annual history: 3/3 articles. Latest history observation: 2026-10-22T05:44:05.005840+00:00. Source totals are never added together.
Research side by side

Compare journals

Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.

Leave all unchecked to include every matching journal. Selection affects only comparison charts.
Display range
Bussecon Review of Social SciencesInternational Journal of Research in Business and Social Science

Publications

Articles by publication year

View data & coverage

Crossref citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex · Citations received

By year of the citing work · 2017–2026

View data & coverage

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.

Full analytics report All distributions, publications, comparisons & data provenance
3 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS3
CROSSREF CITATIONS5
CROSSREF · CITED PUBLICATIONS66.7%
CROSSREF · MEAN CITATIONS1.67

Crossref citation coverage: 3 / 3 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.

OpenAlex / Separate citation source

A broader view of this research

DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.

OPENALEX CITATIONS6
DOI MATCH COVERAGE100.0%3 / 3 publications
MEAN · KNOWN COUNTS ONLY2.03 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY2

Observation range: 21 Oct 2026 07:22 UTC — 22 Oct 2026 05:44 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations01–536–20021+0Unknown0

Institutions, countries & topics

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.

Institutions

1 / 3 with data · 2 missing or unmatched. Percentages use all 3 selected publications.

Countries

1 / 3 with data · 2 missing or unmatched. Percentages use all 3 selected publications.

Primary topics

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.

Citation year / OpenAlex

Citations received over time

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): 2026-10-21T07:22:58.486624+00:00 — 2026-10-22T05:44:05.005840+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

31.50 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32020 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32021 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32022 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32023 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32024 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 3/32025 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 3/32026 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 3/3 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications033/3
2018All selected publications033/3
2019All selected publications033/3
2020All selected publications033/3
2021All selected publications033/3
2022All selected publications033/3
2023All selected publications033/3
2024All selected publications233/3
2025All selected publications133/3
2026All selected publications333/3

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 ↗

Crossref citation distribution

Latest Crossref totals for the selected publications; not citations received in the selected years.

Mean1.67
Median2
No citations11–526–20021+0Unknown0

Unknown counts are excluded from the mean, median and cited-publication rate.

Journal comparison

Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.

Journal / publisherPublicationsCrossref citationsOpenAlex citationsOpenAlex coverageCrossref meanCrossref medianCrossref cited %*Crossref coverage
Bussecon Review of Social Sciences
Bussecon International Academy
2552/22.52.5100.02/2 · 100.0%
International Journal of Research in Business and Social Science
SSBFNET
1011/10.000.01/1 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 3 →

Most cited · Crossref

JOURNAL ARTICLE

The combined effects of retail energy prices, and exchange rates on inflation in Nigeria States

Nenubari John Ikue · John Sodipo · Charlse Oraemesi · Linus Enegesi

Bussecon Review of Social Sciences · 2024

Read abstract

This paper explores the nonlinear dynamics relationship between petroleum product prices and inflation in Nigeria. By focusing on the role of exchange rate fluctuations in amplifying the relationships, the paper employs a multiplicative interaction approach to address the nonlinear effects of petroleum prices on inflation. Utilizing data from 2016: Q1 to 2024: Q2 from the National Bureau of Statistics and the Central Bank of Nigeria, the study introduces interaction terms to capture how petroleum prices and exchange rates interact to influence inflation. The methodology includes static and dynamic panel estimators, with a focus on the within effect model to account for unobserved state-specific factors. Key findings reveal that AGO and PMS prices significantly drive both headline and food inflation, while DPK's impact varies, and GAS shows minimal effect. The study highlights those geographical factors—proximity to seaports and fuel depots—significantly influence inflationary pressures. States closer to these facilities experience lower inflation due to reduced distribution costs. This suggests that policies aimed at partial subsidization for states farther from key infrastructure could mitigate regional inflation disparities. The findings contribute to the understanding of inflation dynamics, emphasizing the need for targeted policy interventions tailored to regional economic conditions in Nigeria.

DOI 10.36096/brss.v6i1.6783 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

Asymmetric impacts of retail energy prices on inflation in Nigeria

Nenubari John Ikue

Bussecon Review of Social Sciences · 2024

Read abstract

This study investigates the asymmetric impacts of retail energy prices on inflation in Nigeria, focusing on the period from Q1: 2010 to Q2: 2024. Utilizing secondary data sourced from the Central Bank of Nigeria (CBN) and the National Bureau of Statistics (NBS) e-library, we examine how fluctuations in petroleum prices (PMS and AGO) influence both food and headline inflation. The analysis employs a nonlinear ARDL approach to capture the distinct effects of rising versus falling energy costs, revealing significant asymmetries in their impact on inflation indices. Our findings indicate that increases in fuel prices exert a pronounced inflationary pressure, particularly on food prices, while decreases lead to muted deflationary effects. The results emphasize the need for comprehensive policy interventions to mitigate fuel-driven cost-push inflation. Specifically, we suggest revisiting the framework for fuel subsidy removal to prevent abrupt price shocks that could burden consumers. Additionally, establishing an Energy Price Stabilization Fund (EPSF) could help stabilize food prices during periods of high energy costs by providing targeted support to the food market. Moreover, managing the exchange rate to minimize extreme fluctuations could further alleviate inflation pressures associated with import costs. Finally, strengthening inflation monitoring systems will enhance the government's ability to respond proactively to inflationary trends, ensuring timely interventions. These policy recommendations aim to create a more stable economic environment, reducing the inflationary impact of volatile retail energy prices and improving overall economic resilience in Nigeria.

DOI 10.36096/brss.v6i2.6872 Crossref citations2 OpenAlex citations
JOURNAL ARTICLE

Inflation dynamics and retail energy prices in Nigerian states

Nenubari John Ikue · John Sodipo · Linus Enegesi · Victor Anthony

International Journal of Research in Business and Social Science · 2024

Read abstract

This study investigates the relationship between inflation dynamics and retail energy prices across Nigerian states. The paper utilizes LSDV and SYS-GMM techniques for the estimation of the static and dynamic panel models. The research disaggregates energy prices into PMS, AGO, HHK and Gas, with CPI as the dependent variable. State Revenue per capita income, representing demand-pull factor of inflation, is used to capture excess liquidity's impact on inflation. Key findings reveal that PMS, AGO, and HHK have significant and distinct effects on inflation, with PMS and AGO driving the largest increases in CPI. Gas price also contribute to inflation, but its impact is moderated by a substitution effect, where consumers shift to gas in response to rising prices of HHK and other household cooking energy sources. This substitution effect reduces the inflationary pressure from gas, making its overall contribution to CPI less pronounced. Importantly, State Revenue per capita income is positively correlated with inflation, highlighting the role of federal transfers in exacerbating demand-pull inflation. For policymakers, these findings emphasize the importance of targeted interventions to stabilize energy prices, particularly PMS, AGO and federal transfers in shaping local economic dynamics and inflationary pressures. This targeted interventions to stabilize energy prices are vital for mitigating inflationary pressures in Nigerian states, as they account for regional economic differences, ensuring more effective and equitable economic stability across the country.

DOI 10.20525/ijrbs.v13i7.36110 Crossref citations1 OpenAlex citations

Selected results

JOURNAL ARTICLE

Inflation dynamics and retail energy prices in Nigerian states

Nenubari John Ikue · John Sodipo · Linus Enegesi · Victor Anthony

International Journal of Research in Business and Social Science · 2024

Read abstract

This study investigates the relationship between inflation dynamics and retail energy prices across Nigerian states. The paper utilizes LSDV and SYS-GMM techniques for the estimation of the static and dynamic panel models. The research disaggregates energy prices into PMS, AGO, HHK and Gas, with CPI as the dependent variable. State Revenue per capita income, representing demand-pull factor of inflation, is used to capture excess liquidity's impact on inflation. Key findings reveal that PMS, AGO, and HHK have significant and distinct effects on inflation, with PMS and AGO driving the largest increases in CPI. Gas price also contribute to inflation, but its impact is moderated by a substitution effect, where consumers shift to gas in response to rising prices of HHK and other household cooking energy sources. This substitution effect reduces the inflationary pressure from gas, making its overall contribution to CPI less pronounced. Importantly, State Revenue per capita income is positively correlated with inflation, highlighting the role of federal transfers in exacerbating demand-pull inflation. For policymakers, these findings emphasize the importance of targeted interventions to stabilize energy prices, particularly PMS, AGO and federal transfers in shaping local economic dynamics and inflationary pressures. This targeted interventions to stabilize energy prices are vital for mitigating inflationary pressures in Nigerian states, as they account for regional economic differences, ensuring more effective and equitable economic stability across the country.

DOI 10.20525/ijrbs.v13i7.36110 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Asymmetric impacts of retail energy prices on inflation in Nigeria

Nenubari John Ikue

Bussecon Review of Social Sciences · 2024

Read abstract

This study investigates the asymmetric impacts of retail energy prices on inflation in Nigeria, focusing on the period from Q1: 2010 to Q2: 2024. Utilizing secondary data sourced from the Central Bank of Nigeria (CBN) and the National Bureau of Statistics (NBS) e-library, we examine how fluctuations in petroleum prices (PMS and AGO) influence both food and headline inflation. The analysis employs a nonlinear ARDL approach to capture the distinct effects of rising versus falling energy costs, revealing significant asymmetries in their impact on inflation indices. Our findings indicate that increases in fuel prices exert a pronounced inflationary pressure, particularly on food prices, while decreases lead to muted deflationary effects. The results emphasize the need for comprehensive policy interventions to mitigate fuel-driven cost-push inflation. Specifically, we suggest revisiting the framework for fuel subsidy removal to prevent abrupt price shocks that could burden consumers. Additionally, establishing an Energy Price Stabilization Fund (EPSF) could help stabilize food prices during periods of high energy costs by providing targeted support to the food market. Moreover, managing the exchange rate to minimize extreme fluctuations could further alleviate inflation pressures associated with import costs. Finally, strengthening inflation monitoring systems will enhance the government's ability to respond proactively to inflationary trends, ensuring timely interventions. These policy recommendations aim to create a more stable economic environment, reducing the inflationary impact of volatile retail energy prices and improving overall economic resilience in Nigeria.

DOI 10.36096/brss.v6i2.6872 Crossref citations2 OpenAlex citations
JOURNAL ARTICLE

The combined effects of retail energy prices, and exchange rates on inflation in Nigeria States

Nenubari John Ikue · John Sodipo · Charlse Oraemesi · Linus Enegesi

Bussecon Review of Social Sciences · 2024

Read abstract

This paper explores the nonlinear dynamics relationship between petroleum product prices and inflation in Nigeria. By focusing on the role of exchange rate fluctuations in amplifying the relationships, the paper employs a multiplicative interaction approach to address the nonlinear effects of petroleum prices on inflation. Utilizing data from 2016: Q1 to 2024: Q2 from the National Bureau of Statistics and the Central Bank of Nigeria, the study introduces interaction terms to capture how petroleum prices and exchange rates interact to influence inflation. The methodology includes static and dynamic panel estimators, with a focus on the within effect model to account for unobserved state-specific factors. Key findings reveal that AGO and PMS prices significantly drive both headline and food inflation, while DPK's impact varies, and GAS shows minimal effect. The study highlights those geographical factors—proximity to seaports and fuel depots—significantly influence inflationary pressures. States closer to these facilities experience lower inflation due to reduced distribution costs. This suggests that policies aimed at partial subsidization for states farther from key infrastructure could mitigate regional inflation disparities. The findings contribute to the understanding of inflation dynamics, emphasizing the need for targeted policy interventions tailored to regional economic conditions in Nigeria.

DOI 10.36096/brss.v6i1.6783 Crossref citations3 OpenAlex citations

Data coverage & freshness

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

SourceMost recent successful journal syncLatest attempt
crossref21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
ojs-rest21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 06:46 UTC
oai-pmh20 Oct 2026 19:55 UTC · ijrbscomplete · ijrbs · 20 Oct 2026 19:50 UTC
openalex-enrichment21 Oct 2026 07:23 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
Full import history & methodology →