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, 00:14 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 02:06 UTC — 22 Oct 2026 02:27 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 |
|---|---|---|---|---|---|
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 5 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 3 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 4 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 5 | 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 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): 2026-10-22T02:06:14.321467+00:00 — 2026-10-22T02:27:13.911705+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 | 0 | 3 | 3/3 |
| 2024 | All selected publications | 1 | 3 | 3/3 |
| 2025 | All selected publications | 5 | 3 | 3/3 |
| 2026 | All selected publications | 3 | 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 ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2021 | 1 |
| 2024 | 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 Business Ecosystem & Strategy Bussecon International Academy | 3 | 8 | 9 | 3/3 | 2.67 | 2 | 100.0 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
This study examines the effect of credit access on both agricultural and off-farm activities based on a household survey of 371 rural farmer respondents in Ethiopia.it was analyzed using a logistic regression model and statistical description. Findings demonstrated that the demographic factors; gender, age, level of education, and family size have a positive and significant effect on credit access. Agricultural credit access is impacted by each of the demographic variables as independent variables. On the other hand, the result indicated that the relationship between credit access and non-farm economic activities has a negative relationship. Credit access has a significant effect on agricultural intensification and specialization rather than diversification. Therefore, a comprehensive policy and strategy needs for credit access in both the agricultural and non-agricultural sectors. The Ethiopian government should follow the integration policy between both sectors and participate in livelihood diversification strategies and achieve sustainable development goals by 2030 at large.
Maize and Beans are the most grown crops in Lesotho as they are important sources of starch and protein respectively. Agricultural marketing in Lesotho is evolving especially due to the government policy of commercialisation of agriculture which promotes increased productivity and production levels. Most farmers produce for subsistence purposes due to small landholding however, there is emphasis on commercial production which requires marketing skills to be successful. This study investigates the marketing channels utilised by maize and bean farmers comparing CA adopters and non-adopters. Six market channels were investigated in this study and these included Cooperatives, Collectors, Wholesalers, Retailers, Street vendors and Consumers. The study utilized data collected during a baseline survey for the Agricultural Productivity Programme for Southern Africa (APPSA) Lesotho in 2022 for a Conservation Agriculture project. The survey covered seven districts in Lesotho that included Lesotho Quthing, Mohale’s Hoek, Mafeteng, Leribe, Maseru. A structured questionnaire was used to collect data from 807 respondents in sampled villages in the seven districts. The data was analysed using the Multivariate Probit Model. The MVP used only four marketing channels;Collectors, Retailer, Street vendors Consumers to determine factors that influence participation in the marketing channels. The study results indicate that the associated factors for each market channel were as follows: contractual agreement ( Consumer, Retail and Collector), gender (Retailers), household income(Street Vendors) and vehicle ownership (Retail and Consumers). The study recommends for enhancement of access to market information for farmers as it is critical in choosing market channels. Contract farming should be encouraged since facilitates farmers access and use of the collectors and retailers marketing channels.
This study sought to identify significant barriers to market access and marketing connections for small-scale rural farmers, evaluating the impact of demographic factors (gender, education level) and operational factors (years in farming, distance from home, type of commodity) on these constraints. The research employed a cross-sectional descriptive and inferential quantitative approach to examine the barriers to market access and marketing connections among small-scale rural farmers in Ghana's Volta area. The conceptual framework is based on a multi-theory approach. The contingency theory elucidates the significance of farm size, resource availability, and geographic location; the human capital theory delineates the impact of education level and years of farming experience; and the logistics and spatial analysis framework examines how transportation infrastructure, geographic location, and commodity type affect market access and connections. The investigation indicated that inadequate road infrastructure and elevated transportation expenses were the primary obstacles for small-scale rural farmers in accessing markets, with notable disparities based on gender and educational attainment. The commodity kind, years of cultivation, and distance from home substantially influenced limitations. The study concentrated on the Volta region, however the results are probably relevant to other regions in Ghana because of comparable agro-ecological zones and rural socio-economic traits. The rigorous research design, data collection techniques, and comprehensive analysis guarantee dependable and valid outcomes. Notwithstanding possible constraints in generalisability, the research provides comprehensive insights into the distinct issues encountered by small-scale farmers. It emphasises socio-economic factors affecting market access, illustrates the impact of farm-level contingencies on market access and linkages, identifies both diversity and uniformity among small-scale farmers, and addresses a gap in the literature by offering empirical evidence on market access constraints specific to the Volta region that may have global relevance. These contributions are significant for both academic comprehension and practical initiatives aimed at assisting small-scale rural farmers in Ghana and analogous environments worldwide.
Maize and Beans are the most grown crops in Lesotho as they are important sources of starch and protein respectively. Agricultural marketing in Lesotho is evolving especially due to the government policy of commercialisation of agriculture which promotes increased productivity and production levels. Most farmers produce for subsistence purposes due to small landholding however, there is emphasis on commercial production which requires marketing skills to be successful. This study investigates the marketing channels utilised by maize and bean farmers comparing CA adopters and non-adopters. Six market channels were investigated in this study and these included Cooperatives, Collectors, Wholesalers, Retailers, Street vendors and Consumers. The study utilized data collected during a baseline survey for the Agricultural Productivity Programme for Southern Africa (APPSA) Lesotho in 2022 for a Conservation Agriculture project. The survey covered seven districts in Lesotho that included Lesotho Quthing, Mohale’s Hoek, Mafeteng, Leribe, Maseru. A structured questionnaire was used to collect data from 807 respondents in sampled villages in the seven districts. The data was analysed using the Multivariate Probit Model. The MVP used only four marketing channels;Collectors, Retailer, Street vendors Consumers to determine factors that influence participation in the marketing channels. The study results indicate that the associated factors for each market channel were as follows: contractual agreement ( Consumer, Retail and Collector), gender (Retailers), household income(Street Vendors) and vehicle ownership (Retail and Consumers). The study recommends for enhancement of access to market information for farmers as it is critical in choosing market channels. Contract farming should be encouraged since facilitates farmers access and use of the collectors and retailers marketing channels.
This study sought to identify significant barriers to market access and marketing connections for small-scale rural farmers, evaluating the impact of demographic factors (gender, education level) and operational factors (years in farming, distance from home, type of commodity) on these constraints. The research employed a cross-sectional descriptive and inferential quantitative approach to examine the barriers to market access and marketing connections among small-scale rural farmers in Ghana's Volta area. The conceptual framework is based on a multi-theory approach. The contingency theory elucidates the significance of farm size, resource availability, and geographic location; the human capital theory delineates the impact of education level and years of farming experience; and the logistics and spatial analysis framework examines how transportation infrastructure, geographic location, and commodity type affect market access and connections. The investigation indicated that inadequate road infrastructure and elevated transportation expenses were the primary obstacles for small-scale rural farmers in accessing markets, with notable disparities based on gender and educational attainment. The commodity kind, years of cultivation, and distance from home substantially influenced limitations. The study concentrated on the Volta region, however the results are probably relevant to other regions in Ghana because of comparable agro-ecological zones and rural socio-economic traits. The rigorous research design, data collection techniques, and comprehensive analysis guarantee dependable and valid outcomes. Notwithstanding possible constraints in generalisability, the research provides comprehensive insights into the distinct issues encountered by small-scale farmers. It emphasises socio-economic factors affecting market access, illustrates the impact of farm-level contingencies on market access and linkages, identifies both diversity and uniformity among small-scale farmers, and addresses a gap in the literature by offering empirical evidence on market access constraints specific to the Volta region that may have global relevance. These contributions are significant for both academic comprehension and practical initiatives aimed at assisting small-scale rural farmers in Ghana and analogous environments worldwide.
This study examines the effect of credit access on both agricultural and off-farm activities based on a household survey of 371 rural farmer respondents in Ethiopia.it was analyzed using a logistic regression model and statistical description. Findings demonstrated that the demographic factors; gender, age, level of education, and family size have a positive and significant effect on credit access. Agricultural credit access is impacted by each of the demographic variables as independent variables. On the other hand, the result indicated that the relationship between credit access and non-farm economic activities has a negative relationship. Credit access has a significant effect on agricultural intensification and specialization rather than diversification. Therefore, a comprehensive policy and strategy needs for credit access in both the agricultural and non-agricultural sectors. The Ethiopian government should follow the integration policy between both sectors and participate in livelihood diversification strategies and achieve sustainable development goals by 2030 at large.
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 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:14 UTC |
| ojs-rest | 21 Oct 2026 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:02 UTC |
| oai-pmh | 20 Oct 2026 19:49 UTC · ijbes | complete · ijbes · 20 Oct 2026 19:48 UTC |
| openalex-enrichment | 21 Oct 2026 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:14 UTC |