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: 2 / 2 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 07:22 UTC — 21 Oct 2026 07:22 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.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 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 |
|---|---|---|---|---|---|
| 2023 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 4 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | 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 2 / 2 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): 2026-10-21T07:22:49.808268+00:00 — 2026-10-21T07:22:51.911210+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 | 2 | 2/2 |
| 2018 | All selected publications | 0 | 2 | 2/2 |
| 2019 | All selected publications | 0 | 2 | 2/2 |
| 2020 | All selected publications | 0 | 2 | 2/2 |
| 2021 | All selected publications | 0 | 2 | 2/2 |
| 2022 | All selected publications | 0 | 2 | 2/2 |
| 2023 | All selected publications | 0 | 2 | 2/2 |
| 2024 | All selected publications | 1 | 2 | 2/2 |
| 2025 | All selected publications | 4 | 2 | 2/2 |
| 2026 | All selected publications | 0 | 2 | 2/2 |
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 |
|---|---|
| 2023 | 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 Research in Business and Social Science SSBFNET | 2 | 4 | 5 | 2/2 | 2.0 | 2.0 | 50.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
Cassava (Manihot esculenta Crantz) has remained a major source of food security and income generation for most developing countries including Tanzania due to its ability to drought and disease resistance. At present, its production in Tanzania stands at 630,000 tons while the country's market demand is expected to grow at 7% by 2026. Therefore, this study assessed the contribution of cassava production and marketing on the livelihood of smallholder farmers in Tanzania particularly in the Dodoma region, so as to explore its potential contributions to the society welfare. A cross-sectional research design was employed whereby a multi-stage sampling procedure was used in selecting a sample of 240 cassava smallholder farmers from four districts in the Dodoma region namely Kondoa, Chemba, Kongwa, and Mpwapwa. Quantitative data were collected through self-administered structured questionnaires and focus group discussion, interview and observation methods also were used in collecting qualitative data from the study area. Content analysis was used in analyzing qualitative data. A binary logistic regression model was employed to estimate the contribution of cassava production and marketing on smallholder farmers’ livelihoods in the region. The findings from the study indicated that family size, farmers’ experience, land size, education, number of visits by extension, and market access statistically were significant with showed a positive relationship with the improvement in the livelihood of farmers in the selected districts. On the other hand, transportation costs showed a negative relation with the improvement of farmers’ livelihood. Generally, it can be concluded that an increase in production and improvement in marketing variables could contribute much to the improvement of smallholder farmers’ livelihood. Based on these findings, it is recommended that Ministries responsible for cassava production and marketing which included the Ministry of Agriculture and the Ministry of Industry and Trade focus more on the design, promotion, and implementation of policies and programs that are intended to enhance cassava production in rural areas and increase the provision of best farming practices through employing more extension officers.
This paper uses a multinomial endogenous treatment effect model and data from a sample of 470 farming households to assess the impacts of adopting sustainable agricultural practices (SAPs) on farm yield and household incomes among smallholder maize farmers in Morogoro region. Results show that combination of improved maize and crop residual significantly increased maize yield by 46%, while intercropping with crop residual (65%), improved maize seeds with manure use (58%), and maize rotation with intercropping (57%). The model estimates indicate that individual elements of SAPs increased yield by crop residual (30%), crop rotation (38%), improved maize varieties (85%), intercropping (58%), and manure (43%) whereas, the application of bundled SAPs had significant impacts on the household income via the following combinations; maize-legume rotation and crop residual (50%), improved maize and crop residual (46%), improved maize and manure (70%), maize-legumes rotation and improved maize (46%), maize rotation and intercropping (68%), maize rotation, improved maize, crop residual, and intercropping (41%), and lastly improved maize, intercropping, manure, crop residual, and crop rotation (55%). The study recommends actors involved in the design, promotion and dissemination of SAPs to find a suitable mix or combination of these practices that will enhance maize productivity and incomes, while simultaneously addressing issues related to the dis-adoption of SAPs, and climate change, by raising awareness and educating to farmers about the benefits of using SAPs and implementing mitigative measures for climate change. This includes providing financial incentives such as loans and subsidies, as well as conducting policy reforms to evaluate and adjust policies that currently favor the use of conventional practices in Tanzania.
This paper uses a multinomial endogenous treatment effect model and data from a sample of 470 farming households to assess the impacts of adopting sustainable agricultural practices (SAPs) on farm yield and household incomes among smallholder maize farmers in Morogoro region. Results show that combination of improved maize and crop residual significantly increased maize yield by 46%, while intercropping with crop residual (65%), improved maize seeds with manure use (58%), and maize rotation with intercropping (57%). The model estimates indicate that individual elements of SAPs increased yield by crop residual (30%), crop rotation (38%), improved maize varieties (85%), intercropping (58%), and manure (43%) whereas, the application of bundled SAPs had significant impacts on the household income via the following combinations; maize-legume rotation and crop residual (50%), improved maize and crop residual (46%), improved maize and manure (70%), maize-legumes rotation and improved maize (46%), maize rotation and intercropping (68%), maize rotation, improved maize, crop residual, and intercropping (41%), and lastly improved maize, intercropping, manure, crop residual, and crop rotation (55%). The study recommends actors involved in the design, promotion and dissemination of SAPs to find a suitable mix or combination of these practices that will enhance maize productivity and incomes, while simultaneously addressing issues related to the dis-adoption of SAPs, and climate change, by raising awareness and educating to farmers about the benefits of using SAPs and implementing mitigative measures for climate change. This includes providing financial incentives such as loans and subsidies, as well as conducting policy reforms to evaluate and adjust policies that currently favor the use of conventional practices in Tanzania.
Cassava (Manihot esculenta Crantz) has remained a major source of food security and income generation for most developing countries including Tanzania due to its ability to drought and disease resistance. At present, its production in Tanzania stands at 630,000 tons while the country's market demand is expected to grow at 7% by 2026. Therefore, this study assessed the contribution of cassava production and marketing on the livelihood of smallholder farmers in Tanzania particularly in the Dodoma region, so as to explore its potential contributions to the society welfare. A cross-sectional research design was employed whereby a multi-stage sampling procedure was used in selecting a sample of 240 cassava smallholder farmers from four districts in the Dodoma region namely Kondoa, Chemba, Kongwa, and Mpwapwa. Quantitative data were collected through self-administered structured questionnaires and focus group discussion, interview and observation methods also were used in collecting qualitative data from the study area. Content analysis was used in analyzing qualitative data. A binary logistic regression model was employed to estimate the contribution of cassava production and marketing on smallholder farmers’ livelihoods in the region. The findings from the study indicated that family size, farmers’ experience, land size, education, number of visits by extension, and market access statistically were significant with showed a positive relationship with the improvement in the livelihood of farmers in the selected districts. On the other hand, transportation costs showed a negative relation with the improvement of farmers’ livelihood. Generally, it can be concluded that an increase in production and improvement in marketing variables could contribute much to the improvement of smallholder farmers’ livelihood. Based on these findings, it is recommended that Ministries responsible for cassava production and marketing which included the Ministry of Agriculture and the Ministry of Industry and Trade focus more on the design, promotion, and implementation of policies and programs that are intended to enhance cassava production in rural areas and increase the provision of best farming practices through employing more extension officers.
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 |