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 01:08 UTC — 22 Oct 2026 03:47 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 | 2 | 2 | 2/2 | 2/2 |
| 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 | 0 | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| 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 | — | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 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 | — | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 0 | 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): 2026-10-22T01:08:26.891558+00:00 — 2026-10-22T03:47:47.266232+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 | 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 |
|---|---|
| 2021-08 | 1 |
| 2021-11 | 1 |
| 2026-06 | 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 |
|---|---|---|---|---|---|---|---|---|
| International Journal of Business Ecosystem & Strategy Bussecon International Academy | 1 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 2 | 1 | 2 | 2/2 | 0.5 | 0.5 | 50.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
The study sought to determine challenges to food security among households of CBOs implementing agroforestry in Rongai Sub County in Nakuru and mitigation factors. The study was anchored on the systems theory and employed a mixed research methods design with simple random sampling used to get the CBOs from which the respondents were drawn. The target population was 630 members of all forty-seven (47) CBOs implementing agroforestry in the study area. The sample size was 245 respondents selected using the proportionate random sampling method. Questionnaires comprising of both open-ended and closed-ended questions were used to collect the data. From the study, the food produced by the households is insufficient and has to be supplemented by those outside the households. The food produced is of quality controlled by factors including farm management practices and capital availability for production. There is food inaccessibility as those produced are a source of income for the households yet insufficient. However, there is an improvement compared to previous years. The households’ food production is unstable as shown by variations in production and insufficiency of the food. Food security is challenged by the failure of all members of CBOs to take part in decision-making processes, reporting, roles, and responsibilities not being assigned appropriately. Mitigation factors are hardly employed by the CBOs to curb the challenges faced in implementing agroforestry. The study recommends building the capacity of CBOs implementing agroforestry in areas of resource mobilization, empowering them to harmonize governance processes, developing and implementing an M&E framework. It also recommends the development and implementation of sound policies that promote agroforestry expansion
One of the important justifications for the development of the Sustainable Food House Area or in Indonesia called Kawasan Rumah Pangan Lestari (KRPL) is national food security must begin with food security at the household level. Until now, most papers about KRPL have only addressed the impact of KRPL in part or in groups, but this study provides a detailed explanation of the effectiveness of some KRPLs implantation, allowing broad generalizations to be reached about the main consequences. The location is in three east java districts with leading KRPL practices. The data was obtained by in-depth interviews with managers, local government, and affected communities. Researchers also observed the practice of KRPL in the field to complete the data. As a result, KRPL policy has at least some good impacts, such as the existence of KRPL can reduce household spending due to reduce the budget for food shopping and KRPL can stimulate the growth of productive economic enterprises in rural areas. And another important thing is KRPL can be a means of sharing and control between villagers and the village government.
Food security remains a persistent challenge in South Africa, disproportionately affecting vulnerable groups such as female-headed households. While the country is nationally food secure, many households continue to experience inadequate access to sufficient, safe, and nutritious food due to structural inequalities, labour-market exclusion, and spatial disparities. Using data from the 2023 General Household Survey (GHS), this study assesses levels and determinants of food security among female-headed households in South Africa. A Food Insecurity Experience Index (FIEI) is constructed from three indicators capturing household experiences of limited food variety, inability to consume balanced meals, and reliance on monotonous diets due to financial constraints. An ordered logit model is estimated to examine how demographic, socioeconomic, and geographic factors shape household food security. The results reveal that female-headed households face significantly higher risks of food insecurity compared to male-headed households, even after controlling for income, education, employment status, and household composition. Provincial disparities are pronounced, with households in historically disadvantaged provinces exhibiting worse food-security outcomes. Education and employment are associated with lower food insecurity, while older household heads and larger households experience higher vulnerability. These findings highlight the deeply structural and gendered nature of food insecurity in South Africa. The study underscores the need for targeted, nutrition-sensitive social protection policies, improved market access, and gender-responsive interventions to enhance food security among women-led households.
Food security remains a persistent challenge in South Africa, disproportionately affecting vulnerable groups such as female-headed households. While the country is nationally food secure, many households continue to experience inadequate access to sufficient, safe, and nutritious food due to structural inequalities, labour-market exclusion, and spatial disparities. Using data from the 2023 General Household Survey (GHS), this study assesses levels and determinants of food security among female-headed households in South Africa. A Food Insecurity Experience Index (FIEI) is constructed from three indicators capturing household experiences of limited food variety, inability to consume balanced meals, and reliance on monotonous diets due to financial constraints. An ordered logit model is estimated to examine how demographic, socioeconomic, and geographic factors shape household food security. The results reveal that female-headed households face significantly higher risks of food insecurity compared to male-headed households, even after controlling for income, education, employment status, and household composition. Provincial disparities are pronounced, with households in historically disadvantaged provinces exhibiting worse food-security outcomes. Education and employment are associated with lower food insecurity, while older household heads and larger households experience higher vulnerability. These findings highlight the deeply structural and gendered nature of food insecurity in South Africa. The study underscores the need for targeted, nutrition-sensitive social protection policies, improved market access, and gender-responsive interventions to enhance food security among women-led households.
The study sought to determine challenges to food security among households of CBOs implementing agroforestry in Rongai Sub County in Nakuru and mitigation factors. The study was anchored on the systems theory and employed a mixed research methods design with simple random sampling used to get the CBOs from which the respondents were drawn. The target population was 630 members of all forty-seven (47) CBOs implementing agroforestry in the study area. The sample size was 245 respondents selected using the proportionate random sampling method. Questionnaires comprising of both open-ended and closed-ended questions were used to collect the data. From the study, the food produced by the households is insufficient and has to be supplemented by those outside the households. The food produced is of quality controlled by factors including farm management practices and capital availability for production. There is food inaccessibility as those produced are a source of income for the households yet insufficient. However, there is an improvement compared to previous years. The households’ food production is unstable as shown by variations in production and insufficiency of the food. Food security is challenged by the failure of all members of CBOs to take part in decision-making processes, reporting, roles, and responsibilities not being assigned appropriately. Mitigation factors are hardly employed by the CBOs to curb the challenges faced in implementing agroforestry. The study recommends building the capacity of CBOs implementing agroforestry in areas of resource mobilization, empowering them to harmonize governance processes, developing and implementing an M&E framework. It also recommends the development and implementation of sound policies that promote agroforestry expansion
One of the important justifications for the development of the Sustainable Food House Area or in Indonesia called Kawasan Rumah Pangan Lestari (KRPL) is national food security must begin with food security at the household level. Until now, most papers about KRPL have only addressed the impact of KRPL in part or in groups, but this study provides a detailed explanation of the effectiveness of some KRPLs implantation, allowing broad generalizations to be reached about the main consequences. The location is in three east java districts with leading KRPL practices. The data was obtained by in-depth interviews with managers, local government, and affected communities. Researchers also observed the practice of KRPL in the field to complete the data. As a result, KRPL policy has at least some good impacts, such as the existence of KRPL can reduce household spending due to reduce the budget for food shopping and KRPL can stimulate the growth of productive economic enterprises in rural areas. And another important thing is KRPL can be a means of sharing and control between villagers and the village government.
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 |