CiteNScope — Scholarly Index & Analytics
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CiteNScope / Analytics

Explore the evidence.
Understand the reach.

Research across participating journals · All insights follow your collection filters.

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OpenAlex coverage 100.0% · 2/2 recordsLast OpenAlex observation 21 Oct 2026, 07:22 UTC
PUBLICATIONS2In the selected collection
CROSSREF CITATIONS42/2 with known counts
OPENALEX CITATIONS52/2 with known counts
OPENALEX MEAN2.5Per article with a known count
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topic: Agricultural Innovations and Practices Remove ×
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Output and reach

Publication activity alongside incoming citations.

Publication activity

Articles grouped by publication year

Publications

Hover over a year or focus the chart and use arrow keys to inspect values.

2026 is year to date. 0 undated publications excluded.

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Citations received

OpenAlex · year of the citing work

OpenAlex

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.

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Research landscape

Leading affiliations and themes in this collection.

Full distributions & methodology ↓

Institutions

University of Dar es Salaam1College of Business Education1Sokoine University of Agriculture12/2 records with data

Countries

Tanzania22/2 records with data

Primary topics

Agricultural Innovations and Practices22/2 records with data
Two perspectives on citations

Follow the research impact

Independent sources. Clear time scales.

Lifetime citations by publication year

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.

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Citations received each year

OpenAlex · incoming citation links grouped by citing-work year

OpenAlex

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.

View data & coverage
Annual history: 2/2 articles. Latest history observation: 2026-10-21T07:22:51.911210+00:00. Source totals are never added together.
Research side by side

Compare journals

Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.

Leave all unchecked to include every matching journal. Selection affects only comparison charts.
Display range
International Journal of Research in Business and Social Science

Publications

Articles by publication year

View data & coverage

Crossref citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex · Citations received

By year of the citing work · 2017–2026

View data & coverage

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.

Full analytics report All distributions, publications, comparisons & data provenance
2 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS2
CROSSREF CITATIONS4
CROSSREF · CITED PUBLICATIONS50.0%
CROSSREF · MEAN CITATIONS2.0

Crossref citation coverage: 2 / 2 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.

OpenAlex / Separate citation source

A broader view of this research

DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.

OPENALEX CITATIONS5
DOI MATCH COVERAGE100.0%2 / 2 publications
MEAN · KNOWN COUNTS ONLY2.52 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY2.5

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 citation distributionNo citations11–516–20021+0Unknown0

Institutions, countries & topics

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.

Institutions

2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.

Countries

2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.

Primary topics

2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.

Citation year / OpenAlex

Citations received over time

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.

OpenAlex · Citations received by year

42.00 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22020 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22021 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22022 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22023 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22024 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 2/22025 · All selected publications · OpenAlex · Citations received by year: 4 · Annual history coverage 2/22026 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/2 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications022/2
2018All selected publications022/2
2019All selected publications022/2
2020All selected publications022/2
2021All selected publications022/2
2022All selected publications022/2
2023All selected publications022/2
2024All selected publications122/2
2025All selected publications422/2
2026All selected publications022/2

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 ↗

Crossref citation distribution

Latest Crossref totals for the selected publications; not citations received in the selected years.

Mean2.0
Median2.0
No citations11–516–20021+0Unknown0

Unknown counts are excluded from the mean, median and cited-publication rate.

Journal comparison

Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.

Journal / publisherPublicationsCrossref citationsOpenAlex citationsOpenAlex coverageCrossref meanCrossref medianCrossref cited %*Crossref coverage
International Journal of Research in Business and Social Science
SSBFNET
2452/22.02.050.02/2 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 2 →

Most cited · Crossref

JOURNAL ARTICLE

The contribution of cassava production and marketing on smallholder farmers’ livelihood in Dodoma Region, Tanzania

Robert Mashenene · Petro Maziku · Lilian Otieno

International Journal of Research in Business and Social Science · 2023

Read abstract

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.

DOI 10.20525/ijrbs.v12i5.26964 Crossref citations5 OpenAlex citations
JOURNAL ARTICLE

Economic impact of adopting bundled SAPs on crop yield and household incomes among smallholder maize farmers in Morogoro region, Tanzania

Joseph Mugula · Athman K. Ahmad · John Msinde · Michael Kadigi

International Journal of Research in Business and Social Science · 2023

Read abstract

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.

DOI 10.20525/ijrbs.v12i8.29770 Crossref citations0 OpenAlex citations

Selected results

JOURNAL ARTICLE

Economic impact of adopting bundled SAPs on crop yield and household incomes among smallholder maize farmers in Morogoro region, Tanzania

Joseph Mugula · Athman K. Ahmad · John Msinde · Michael Kadigi

International Journal of Research in Business and Social Science · 2023

Read abstract

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.

DOI 10.20525/ijrbs.v12i8.29770 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

The contribution of cassava production and marketing on smallholder farmers’ livelihood in Dodoma Region, Tanzania

Robert Mashenene · Petro Maziku · Lilian Otieno

International Journal of Research in Business and Social Science · 2023

Read abstract

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.

DOI 10.20525/ijrbs.v12i5.26964 Crossref citations5 OpenAlex citations

Data coverage & freshness

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

SourceMost recent successful journal syncLatest attempt
crossref21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
ojs-rest21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 06:46 UTC
oai-pmh20 Oct 2026 19:55 UTC · ijrbscomplete · ijrbs · 20 Oct 2026 19:50 UTC
openalex-enrichment21 Oct 2026 07:23 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
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