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 00:14 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 |
|---|---|---|---|---|---|
| 2019 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 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 |
| 2026 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 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 | 0/0 | 0/0 |
| 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 | 2 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 0 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 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 | 2 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 0 | 3 | 3/3 | 3/3 |
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): 2026-10-21T00:14:32.831124+00:00 — 2026-10-21T07:23:08.955300+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 | 0 | 5 | 5/5 |
| 2024 | All selected publications | 0 | 5 | 5/5 |
| 2025 | All selected publications | 0 | 5 | 5/5 |
| 2026 | All selected publications | 2 | 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 |
|---|---|
| 2019 | 1 |
| 2025 | 1 |
| 2026 | 3 |
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 | 2 | 2 | 3/3 | 0.67 | 0 | 33.3 | 3/3 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 2 | 0 | 0 | 2/2 | 0.0 | 0.0 | 0.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
African agribusiness ecosystems are increasingly threatened by the multifaceted impacts of climate change, including rising temperatures, erratic rainfall, and frequent extreme weather events. These disruptions pose significant risks to food security, rural livelihoods, and sustainable development across the continent. This paper explores integrated strategies for enhancing climate resilience in African agribusiness, drawing on resilience theory and systems thinking as guiding conceptual frameworks. It synthesizes current developments in climate-smart agriculture (CSA), the role of indigenous knowledge systems, regional carbon market mechanisms, and the need for improved policy coherence. The study draws from a wide range of empirical literature, regional initiatives, and policy documents, including the African Union Commission’s Climate Change and Resilient Development Strategy and Action Plan (2022-2032), to examine how scientific innovations, traditional practices, financial instruments, and inclusive governance can contribute to sustainable adaptation. Emphasis is placed on the active participation of women and youth, equitable access to resources, and the transformation of entire agrifood value chains. The findings suggest that the adoption of CSA and other resilience strategies remains uneven due to structural and institutional barriers. However, opportunities exist to scale successful models through enhanced coordination, policy alignment, and investment in climate-resilient infrastructure and knowledge platforms. The paper concludes by proposing strategic policy pathways and practical recommendations to support the transformation of agribusiness ecosystems into resilient and inclusive systems capable of withstanding current and future climate risks.
Climate change poses significant risks to rural livelihoods in semi-arid regions such as Bikita District, Zimbabwe, where recurrent droughts, erratic rainfall, rising temperatures, and water scarcity undermine food security and socio-economic stability. This study examines the climate-related risks faced by rural households, identifies the coping and adaptation strategies they employ, and assesses the effectiveness and sustainability of these responses. A qualitative case study design, guided by the Sustainable Livelihoods Framework, was adopted. Data were collected through in-depth interviews (n = 30), focus group discussions (two groups), and direct observations involving households, traditional leaders, and local stakeholders. Thematic analysis was used to identify patterns in risks, coping strategies, and institutional constraints. The findings show that households employ diverse strategies, including crop diversification, cultivation of drought-resistant small grains, water harvesting, livestock downsizing, livelihood diversification, horticulture, and reliance on social networks. However, many of these responses remain short-term coping mechanisms rather than sustainable adaptation strategies. Structural barriers, including limited access to credit, weak extension services, poor infrastructure, and inadequate market systems, constrain their effectiveness. In addition, some practices, including deforestation and over-reliance on food aid, are maladaptive, providing immediate relief while undermining long-term resilience. The study concludes that although rural households demonstrate significant adaptive capacity, their transition from short-term coping to sustainable adaptation is limited by systemic and institutional constraints. It highlights the need for integrated policy interventions that strengthen livelihood assets, enhance institutional support, improve access to finance and markets, and integrate indigenous knowledge with climate-smart practices. These findings contribute to climate adaptation scholarship and provide policy-relevant insights for building long-term resilience in rural Zimbabwe.
This research aims to investigate the factors influencing the households in East Nusa Tenggara (NTT) Indonesia to use seasonal forecast issued by the Meteorological Office (BMKG) Indonesia. NTT is a highly vulnerable region to drought, and hence, understanding the weather and climate condition is a crucial issue. Household survey was conducted to interview 300 households in NTT asking about their intention to utilize the forecast information in supporting their livelihood. Furthermore, this research investigates whether the households characteristics influencing the intention. Using the Classification and Regression Tree (CART), we found that the intention to use forecast is dominantly influenced by age of the household head, ownership of household assets, main source of income, crop and livestock activities and water source for livestock.
Climate change and agricultural transformation are increasingly affecting cocoa production in Sub-Saharan Africa, where smallholder farmers face growing environmental and socioeconomic constraints. This study investigates their effects on cocoa productivity in the Mvila Division of South Cameroon, with particular attention to agricultural modernization, rainfall variability, cooperative membership, fertilizer use, and farm-level characteristics. The study combines qualitative evidence from administrative and policy documents with quantitative data from cocoa farmers and secondary sources, including MINADER, IRAD, FAOSTAT, ICCO, CHIRPS, and the National Cocoa and Coffee Board. Descriptive statistics, correlation analysis, multiple regression, robustness tests, and scenario projections were used to assess productivity across five subdivisions. The results show that cooperative membership, favourable rainfall conditions, farmer education, fertilizer use, and farm size significantly increase cocoa productivity, while ageing plantations reduce yields. Agricultural transformation has also strengthened farmer organizations, extension services, and adoption of improved practices, although mechanization remains constrained by inadequate infrastructure, limited finance, and uneven institutional support. Ebolowa I and Ebolowa II consistently record higher productivity, associated with stronger institutional support and greater adoption of improved practices. The study contributes empirical evidence on the interaction between climate variability and agricultural transformation in cocoa-producing smallholder systems and highlights the importance of combining climate-smart practices, plantation rehabilitation, producer organizations, extension services, and appropriate mechanization to improve productivity and strengthen farmers' resilience in Cameroon.
Drawing on multi-wave panel data from over 5,000 households in the World Bank’s Living Standards Measurement Study–Integrated Surveys on Agriculture microdata across Ethiopia, Tanzania, Uganda, and Malawi, this study investigates how fertilizer subsidies interact with rainfall variability to influence maize productivity among East African smallholders. Using a difference-in-differences framework applied to household-level panel data combined with FAOSTAT indicators, the analysis compares yield responses of subsidy beneficiaries and non-beneficiaries under contrasting rainfall conditions. Results show that fertilizer subsidies significantly raise maize yields in normal rainfall years but provide limited benefits during drought or excessive precipitation, highlighting the conditional effectiveness of input support. Cross-country differences reveal that program design, especially targeting efficiency and the timing of subsidy delivery, strongly shapes yield outcomes. The findings emphasize the importance of integrating fertilizer support with climate information services, soil health interventions, and adaptive policy mechanisms. This study contributes empirical evidence for designing climate-smart and context-sensitive subsidy systems aimed at enhancing resilience and food security in East Africa.
Climate change and agricultural transformation are increasingly affecting cocoa production in Sub-Saharan Africa, where smallholder farmers face growing environmental and socioeconomic constraints. This study investigates their effects on cocoa productivity in the Mvila Division of South Cameroon, with particular attention to agricultural modernization, rainfall variability, cooperative membership, fertilizer use, and farm-level characteristics. The study combines qualitative evidence from administrative and policy documents with quantitative data from cocoa farmers and secondary sources, including MINADER, IRAD, FAOSTAT, ICCO, CHIRPS, and the National Cocoa and Coffee Board. Descriptive statistics, correlation analysis, multiple regression, robustness tests, and scenario projections were used to assess productivity across five subdivisions. The results show that cooperative membership, favourable rainfall conditions, farmer education, fertilizer use, and farm size significantly increase cocoa productivity, while ageing plantations reduce yields. Agricultural transformation has also strengthened farmer organizations, extension services, and adoption of improved practices, although mechanization remains constrained by inadequate infrastructure, limited finance, and uneven institutional support. Ebolowa I and Ebolowa II consistently record higher productivity, associated with stronger institutional support and greater adoption of improved practices. The study contributes empirical evidence on the interaction between climate variability and agricultural transformation in cocoa-producing smallholder systems and highlights the importance of combining climate-smart practices, plantation rehabilitation, producer organizations, extension services, and appropriate mechanization to improve productivity and strengthen farmers' resilience in Cameroon.
Climate change poses significant risks to rural livelihoods in semi-arid regions such as Bikita District, Zimbabwe, where recurrent droughts, erratic rainfall, rising temperatures, and water scarcity undermine food security and socio-economic stability. This study examines the climate-related risks faced by rural households, identifies the coping and adaptation strategies they employ, and assesses the effectiveness and sustainability of these responses. A qualitative case study design, guided by the Sustainable Livelihoods Framework, was adopted. Data were collected through in-depth interviews (n = 30), focus group discussions (two groups), and direct observations involving households, traditional leaders, and local stakeholders. Thematic analysis was used to identify patterns in risks, coping strategies, and institutional constraints. The findings show that households employ diverse strategies, including crop diversification, cultivation of drought-resistant small grains, water harvesting, livestock downsizing, livelihood diversification, horticulture, and reliance on social networks. However, many of these responses remain short-term coping mechanisms rather than sustainable adaptation strategies. Structural barriers, including limited access to credit, weak extension services, poor infrastructure, and inadequate market systems, constrain their effectiveness. In addition, some practices, including deforestation and over-reliance on food aid, are maladaptive, providing immediate relief while undermining long-term resilience. The study concludes that although rural households demonstrate significant adaptive capacity, their transition from short-term coping to sustainable adaptation is limited by systemic and institutional constraints. It highlights the need for integrated policy interventions that strengthen livelihood assets, enhance institutional support, improve access to finance and markets, and integrate indigenous knowledge with climate-smart practices. These findings contribute to climate adaptation scholarship and provide policy-relevant insights for building long-term resilience in rural Zimbabwe.
Drawing on multi-wave panel data from over 5,000 households in the World Bank’s Living Standards Measurement Study–Integrated Surveys on Agriculture microdata across Ethiopia, Tanzania, Uganda, and Malawi, this study investigates how fertilizer subsidies interact with rainfall variability to influence maize productivity among East African smallholders. Using a difference-in-differences framework applied to household-level panel data combined with FAOSTAT indicators, the analysis compares yield responses of subsidy beneficiaries and non-beneficiaries under contrasting rainfall conditions. Results show that fertilizer subsidies significantly raise maize yields in normal rainfall years but provide limited benefits during drought or excessive precipitation, highlighting the conditional effectiveness of input support. Cross-country differences reveal that program design, especially targeting efficiency and the timing of subsidy delivery, strongly shapes yield outcomes. The findings emphasize the importance of integrating fertilizer support with climate information services, soil health interventions, and adaptive policy mechanisms. This study contributes empirical evidence for designing climate-smart and context-sensitive subsidy systems aimed at enhancing resilience and food security in East Africa.
African agribusiness ecosystems are increasingly threatened by the multifaceted impacts of climate change, including rising temperatures, erratic rainfall, and frequent extreme weather events. These disruptions pose significant risks to food security, rural livelihoods, and sustainable development across the continent. This paper explores integrated strategies for enhancing climate resilience in African agribusiness, drawing on resilience theory and systems thinking as guiding conceptual frameworks. It synthesizes current developments in climate-smart agriculture (CSA), the role of indigenous knowledge systems, regional carbon market mechanisms, and the need for improved policy coherence. The study draws from a wide range of empirical literature, regional initiatives, and policy documents, including the African Union Commission’s Climate Change and Resilient Development Strategy and Action Plan (2022-2032), to examine how scientific innovations, traditional practices, financial instruments, and inclusive governance can contribute to sustainable adaptation. Emphasis is placed on the active participation of women and youth, equitable access to resources, and the transformation of entire agrifood value chains. The findings suggest that the adoption of CSA and other resilience strategies remains uneven due to structural and institutional barriers. However, opportunities exist to scale successful models through enhanced coordination, policy alignment, and investment in climate-resilient infrastructure and knowledge platforms. The paper concludes by proposing strategic policy pathways and practical recommendations to support the transformation of agribusiness ecosystems into resilient and inclusive systems capable of withstanding current and future climate risks.
This research aims to investigate the factors influencing the households in East Nusa Tenggara (NTT) Indonesia to use seasonal forecast issued by the Meteorological Office (BMKG) Indonesia. NTT is a highly vulnerable region to drought, and hence, understanding the weather and climate condition is a crucial issue. Household survey was conducted to interview 300 households in NTT asking about their intention to utilize the forecast information in supporting their livelihood. Furthermore, this research investigates whether the households characteristics influencing the intention. Using the Classification and Regression Tree (CART), we found that the intention to use forecast is dominantly influenced by age of the household head, ownership of household assets, main source of income, crop and livestock activities and water source for livestock.
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 |