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, 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 01:04 UTC — 22 Oct 2026 01:32 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 |
|---|---|---|---|---|---|
| 2019 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 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 |
|---|---|---|---|---|---|
| 2019 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 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 |
|---|---|---|---|---|---|
| 2019 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 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 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): 2026-10-22T01:04:07.366738+00:00 — 2026-10-22T01:32:00.077435+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 | 0 | 3 | 3/3 |
| 2020 | All selected publications | 0 | 3 | 3/3 |
| 2021 | All selected publications | 0 | 3 | 3/3 |
| 2022 | All selected publications | 0 | 3 | 3/3 |
| 2023 | All selected publications | 1 | 3 | 3/3 |
| 2024 | All selected publications | 0 | 3 | 3/3 |
| 2025 | All selected publications | 0 | 3 | 3/3 |
| 2026 | All selected publications | 1 | 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 ↗
Records with full publication dates only. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2019-11 | 1 |
| 2020-10 | 1 |
| 2025-02 | 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 | 1 | 1 | 1/1 | 1.0 | 1 | 100.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 2 | 0 | 1 | 2/2 | 0.0 | 0.0 | 0.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
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.
The study was conducted to examine the nature of vegetable price variation from farmers to different traders through different marketing channels and identified some factors that were causes for vegetable price variation. On the basis of vegetable trader, five marketing channels identified which responsible for transporting vegetables from farmer to consumer. This study pointed out that the maximum price variation chain is Farmer ? Wholesaler ? Agent ? Retailer ? Consumer. This study also explored that price variation has a positive relationship with the increase of trader’s number and several times price variation executed in retailers’ level. Sometimes new trader arrivals in retail level which depends on the nature of vegetable deterioration. The majority farmers and traders remarked that price variation is occurred due to high input cost, high transportation cost, and traditional marketing system
This study attempts to clarify and evaluate the factors that impact on cotton sector production in Cameroon and differentiate producers `behavior. A description of producers ‘behaviour is made in order to identify their main characteristics, which should shed light on the relationships between cotton textile production , the main producers` characteristics price and non-price variables. An inventory of ongoing sectoral agricultural policies is presented and suggestions are made for formulating alternative policies. The next section presents both a review of agricultural policies and the cotton sector in Cameroon. The third and fourth sections are literature review and cotton belt while the fifth presents the methodology. Discussion and interpretation of the empirical findings is followed by the conclusion and policy recommendations.
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.
The study was conducted to examine the nature of vegetable price variation from farmers to different traders through different marketing channels and identified some factors that were causes for vegetable price variation. On the basis of vegetable trader, five marketing channels identified which responsible for transporting vegetables from farmer to consumer. This study pointed out that the maximum price variation chain is Farmer ? Wholesaler ? Agent ? Retailer ? Consumer. This study also explored that price variation has a positive relationship with the increase of trader’s number and several times price variation executed in retailers’ level. Sometimes new trader arrivals in retail level which depends on the nature of vegetable deterioration. The majority farmers and traders remarked that price variation is occurred due to high input cost, high transportation cost, and traditional marketing system
This study attempts to clarify and evaluate the factors that impact on cotton sector production in Cameroon and differentiate producers `behavior. A description of producers ‘behaviour is made in order to identify their main characteristics, which should shed light on the relationships between cotton textile production , the main producers` characteristics price and non-price variables. An inventory of ongoing sectoral agricultural policies is presented and suggestions are made for formulating alternative policies. The next section presents both a review of agricultural policies and the cotton sector in Cameroon. The third and fourth sections are literature review and cotton belt while the fifth presents the methodology. Discussion and interpretation of the empirical findings is followed by the conclusion and policy recommendations.
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 19:55 UTC · ijrbs | complete · ijrbs · 20 Oct 2026 19:50 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |