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: 22 Oct 2026 01:20 UTC — 22 Oct 2026 01:37 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 |
|---|---|---|---|---|---|
| 2019 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 2 | 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): 2026-10-22T01:20:39.224204+00:00 — 2026-10-22T01:37:56.168685+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 | 0 | 2 | 2/2 |
| 2026 | All selected publications | 1 | 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 |
|---|---|
| 2019 | 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 | 2 | 2 | 2/2 | 1.0 | 1.0 | 100.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
The support of tourism stakeholders is essential for the development, successful operation, and long-term sustainability of tourism. The aim of this paper was to establish how stakeholder involvement influence tourism sector performance the purpose of getting a deeper understanding of what different stakeholders perceive on their involvement and the benefits that they have gotten or brought to the sector. The theory guiding this paper was an integrated model of destination competitiveness. A descriptive research design was used for the study. The target population consisted of employees of hotels, officials of tour firms and officers in the ministry of tourism in the County Government of West Pokot. Systematic stratified sampling was used and a total of 41 respondents selected. Structured questionnaires were used to collect data from the respondents. Data were analyzed using descriptive and inferential statistics. From the R2 was 0.444 meaning that Stakeholder participation predicted 44.4% of tourism performance in West Pokot County and therefore the Counter government should always consider the stakeholders in matters to do with tourism so as to improve its performance.
The study aims to examine the influence destination image have on tourist visiting intention in the village of Lumpur located at Gunung Raya sub-district, Kerinci Regency, Jambi Province, Indonesia. Similarly, it is also to examine how much the market attractiveness impacts the destination image of rural tourism. Additionally, it set out to also assess the extent to which the support of market attractiveness influences tourist visiting intention through the destination image of the village. This study used a survey method with descriptive and quantitative analysis, and the analytical tool employed is Smart PLS version 3.0 tools. One hundred forty respondents, comprising of both local and foreign tourists, were understudied for the analysis and observations made. The findings showed that market attractiveness has a direct effect on the interests of visitors. Similarly, market attractiveness was established to have a direct impact on tourist’s image. Meanwhile, the destination image also has a direct and significant influence on tourist visiting intention. In conclusion, it was ascertained that the destination image has a substantial effect on the tourist visiting intention, although it has a smaller coefficient of direct influence.
The support of tourism stakeholders is essential for the development, successful operation, and long-term sustainability of tourism. The aim of this paper was to establish how stakeholder involvement influence tourism sector performance the purpose of getting a deeper understanding of what different stakeholders perceive on their involvement and the benefits that they have gotten or brought to the sector. The theory guiding this paper was an integrated model of destination competitiveness. A descriptive research design was used for the study. The target population consisted of employees of hotels, officials of tour firms and officers in the ministry of tourism in the County Government of West Pokot. Systematic stratified sampling was used and a total of 41 respondents selected. Structured questionnaires were used to collect data from the respondents. Data were analyzed using descriptive and inferential statistics. From the R2 was 0.444 meaning that Stakeholder participation predicted 44.4% of tourism performance in West Pokot County and therefore the Counter government should always consider the stakeholders in matters to do with tourism so as to improve its performance.
The study aims to examine the influence destination image have on tourist visiting intention in the village of Lumpur located at Gunung Raya sub-district, Kerinci Regency, Jambi Province, Indonesia. Similarly, it is also to examine how much the market attractiveness impacts the destination image of rural tourism. Additionally, it set out to also assess the extent to which the support of market attractiveness influences tourist visiting intention through the destination image of the village. This study used a survey method with descriptive and quantitative analysis, and the analytical tool employed is Smart PLS version 3.0 tools. One hundred forty respondents, comprising of both local and foreign tourists, were understudied for the analysis and observations made. The findings showed that market attractiveness has a direct effect on the interests of visitors. Similarly, market attractiveness was established to have a direct impact on tourist’s image. Meanwhile, the destination image also has a direct and significant influence on tourist visiting intention. In conclusion, it was ascertained that the destination image has a substantial effect on the tourist visiting intention, although it has a smaller coefficient of direct influence.
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 |