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: 4 / 4 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 07:23 UTC — 22 Oct 2026 05:05 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.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 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 | 2 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 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 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 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 | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 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 | 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 4 / 4 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): 2026-10-21T07:23:01.287230+00:00 — 2026-10-22T05:05:24.846333+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 | 4 | 4/4 |
| 2018 | All selected publications | 0 | 4 | 4/4 |
| 2019 | All selected publications | 0 | 4 | 4/4 |
| 2020 | All selected publications | 0 | 4 | 4/4 |
| 2021 | All selected publications | 0 | 4 | 4/4 |
| 2022 | All selected publications | 0 | 4 | 4/4 |
| 2023 | All selected publications | 1 | 4 | 4/4 |
| 2024 | All selected publications | 1 | 4 | 4/4 |
| 2025 | All selected publications | 0 | 4 | 4/4 |
| 2026 | All selected publications | 0 | 4 | 4/4 |
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 | 2 |
| 2020 | 1 |
| 2025 | 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 Research in Business and Social Science SSBFNET | 4 | 1 | 2 | 4/4 | 0.25 | 0.0 | 25.0 | 4/4 · 100.0% |
* Percentage among publications with a known citation count.
Food commodities play an important role in income increase of people, job opportunities, and regional and national development. Competitiveness of food commodities needs for community welfare increase and national food security and sovereignty. The aims of this research were: (1) to analysis of competitiveness of strategic food commodities in Lampung Province, (2) to analyze the impact of changes of input and output prices against of strategic food commodities in Lampung Province, and (3) to know the policy of suitable minimum prices of strategic food commodities in Lampung Province. This research conducted in Lampung Province from September 2013 to September 2014. The regencies as a sample selected by purposive sampling were Middle Lampung, North Lampung, South Lampung, and East Lampung. The determination of the farmers used stratified simple random sampling. The sample in this study was 120 respondents. The results showed that the farming of strategic food commodities (paddy and corn) had PCR and DCR value less than one point. Strategic food commodities had lesser value due to an increase in fertilizer price and a decline in output prices. The competitiveness of strategic food commodities in Lampung Province was sensitive to output prices decrease. The policy of the minimum price of paddy at least two times greater than the price of corn.
Despite the national increase in banana production, Kepok banana farmers in Sikka Regency have experienced a sharp decline in both production and income. This study aims to analyze the factors affecting the income of Kepok banana farmers in Sikka Regency by examining the role of production as a mediating variable between key determinants—price, land area, labor, and capital—and income levels. The study employs a quantitative research approach using survey methods to collect primary data from Kepok banana farmers in Sikka Regency. The sampling technique applied is simple random sampling, ensuring proportional representation from 21 sub-districts. Out of a total population of 2,123 farmers, a final sample of 354 farmers was randomly selected. The collected data was analyzed using Partial Least Squares (PLS) through SmartPLS to examine the relationships. The study found that price, land area, labor, and capital all have a positive and significant impact on the production of Kepok bananas in Sikka Regency. Production itself plays a crucial role in influencing farmers' income, alongside price, land area, labor, and capital, all of which have a direct positive and significant effect on income. Production mediates the relationship between price, labor, and capital with farmers' income, indicating that these factors contribute to higher production, which in turn increases income. However, production does not mediate the effect of land area on income, suggesting that while land expansion increases production, its direct impact on income may be influenced by other factors beyond production volume alone.
This study aims to explore the problems faced by cocoa oil small-sized industries and develop an empowerment model design from the perspective of business management to increase added value implemented in the Agropolitan Region in the Province of Southeast Sulawesi, Indonesia. This study uses a qualitative approach, where data analysis is performed using the Nvivo 12 Plus software. Exploration results show that the perspective of business management which is a problem in the development of cocoa oil small-sized industries is the supply of raw materials; price of raw materials; variable cost; machine capacity; human resources; capital; institutional; product price; market access; assets legality; and partnership. The results of the design of the empowerment model explained that there was a need for a partnership between cocoa oil small-sized industries and other related parties such as; supplier of raw materials and target markets so that this empowerment effort can go well; and it is hoped that there will be government support in managerial aspects, both physical and non-physical so that cocoa oil small-sized industries can increase the added value
The Agricultural Demand Led Industrialization (ADLI) strategy can be considered effective because of the dominant amount of East Java land (74.11%) cultivated for the agricultural sector. This study aims to determine the relationship between the agricultural and manufacturing industry sectors; knowing the impact of the “Agricultural Demand Led Industrialization” (ADLI) strategy in the East Java economy; and knowing the elasticity of agricultural investment on output creation, gross value added, and income in East Java. This research uses the Input-Output (IO) analysis technique for all economic sectors in East Java, with an emphasis on the agricultural sector and processing industry in 1995-2010. The empirical results state that the ADLI Strategy has a positive impact on output creation and income in the East Java economy. The level of sensitivity /response from the output, gross value added, and income due to changes in investment value in the agricultural sector is relatively not much different.
Despite the national increase in banana production, Kepok banana farmers in Sikka Regency have experienced a sharp decline in both production and income. This study aims to analyze the factors affecting the income of Kepok banana farmers in Sikka Regency by examining the role of production as a mediating variable between key determinants—price, land area, labor, and capital—and income levels. The study employs a quantitative research approach using survey methods to collect primary data from Kepok banana farmers in Sikka Regency. The sampling technique applied is simple random sampling, ensuring proportional representation from 21 sub-districts. Out of a total population of 2,123 farmers, a final sample of 354 farmers was randomly selected. The collected data was analyzed using Partial Least Squares (PLS) through SmartPLS to examine the relationships. The study found that price, land area, labor, and capital all have a positive and significant impact on the production of Kepok bananas in Sikka Regency. Production itself plays a crucial role in influencing farmers' income, alongside price, land area, labor, and capital, all of which have a direct positive and significant effect on income. Production mediates the relationship between price, labor, and capital with farmers' income, indicating that these factors contribute to higher production, which in turn increases income. However, production does not mediate the effect of land area on income, suggesting that while land expansion increases production, its direct impact on income may be influenced by other factors beyond production volume alone.
This study aims to explore the problems faced by cocoa oil small-sized industries and develop an empowerment model design from the perspective of business management to increase added value implemented in the Agropolitan Region in the Province of Southeast Sulawesi, Indonesia. This study uses a qualitative approach, where data analysis is performed using the Nvivo 12 Plus software. Exploration results show that the perspective of business management which is a problem in the development of cocoa oil small-sized industries is the supply of raw materials; price of raw materials; variable cost; machine capacity; human resources; capital; institutional; product price; market access; assets legality; and partnership. The results of the design of the empowerment model explained that there was a need for a partnership between cocoa oil small-sized industries and other related parties such as; supplier of raw materials and target markets so that this empowerment effort can go well; and it is hoped that there will be government support in managerial aspects, both physical and non-physical so that cocoa oil small-sized industries can increase the added value
Food commodities play an important role in income increase of people, job opportunities, and regional and national development. Competitiveness of food commodities needs for community welfare increase and national food security and sovereignty. The aims of this research were: (1) to analysis of competitiveness of strategic food commodities in Lampung Province, (2) to analyze the impact of changes of input and output prices against of strategic food commodities in Lampung Province, and (3) to know the policy of suitable minimum prices of strategic food commodities in Lampung Province. This research conducted in Lampung Province from September 2013 to September 2014. The regencies as a sample selected by purposive sampling were Middle Lampung, North Lampung, South Lampung, and East Lampung. The determination of the farmers used stratified simple random sampling. The sample in this study was 120 respondents. The results showed that the farming of strategic food commodities (paddy and corn) had PCR and DCR value less than one point. Strategic food commodities had lesser value due to an increase in fertilizer price and a decline in output prices. The competitiveness of strategic food commodities in Lampung Province was sensitive to output prices decrease. The policy of the minimum price of paddy at least two times greater than the price of corn.
The Agricultural Demand Led Industrialization (ADLI) strategy can be considered effective because of the dominant amount of East Java land (74.11%) cultivated for the agricultural sector. This study aims to determine the relationship between the agricultural and manufacturing industry sectors; knowing the impact of the “Agricultural Demand Led Industrialization” (ADLI) strategy in the East Java economy; and knowing the elasticity of agricultural investment on output creation, gross value added, and income in East Java. This research uses the Input-Output (IO) analysis technique for all economic sectors in East Java, with an emphasis on the agricultural sector and processing industry in 1995-2010. The empirical results state that the ADLI Strategy has a positive impact on output creation and income in the East Java economy. The level of sensitivity /response from the output, gross value added, and income due to changes in investment value in the agricultural sector is relatively not much different.
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 |