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, 00:14 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 02:15 UTC — 22 Oct 2026 02:43 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 |
|---|---|---|---|---|---|
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 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 |
|---|---|---|---|---|---|
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 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 |
|---|---|---|---|---|---|
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 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 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): 2026-10-22T02:15:30.857949+00:00 — 2026-10-22T02:43:44.092865+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 | 0 | 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 |
|---|---|
| 2024 | 1 |
| 2026 | 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 | 2 | 1 | 1 | 2/2 | 0.5 | 0.5 | 50.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
Despite the stigma surrounding cannabis, discourse has evolved, and it is now recognised as a viable economic commodity, reflecting a substantial transformation in societal attitudes. Several African countries have been exploring the industrial possibilities of medicinal hemp as a facet of economic development. This study aimed to examine the potential advantages of cannabis commercialisation in Limpopo province, South Africa. The study utilised a descriptive design and qualitative technique, focussing on cannabis enterprises. Snowball sampling was utilised to acquire a sample of 20 individuals. The sample size was determined by data saturation. Data was gathered through semi-structured interviews and thematically analysed using ATLAS.ti 23 software. The results indicate that the creation of cannabis cultivation and processing businesses may produce job opportunities, stimulate economic expansion, and promote community development. Furthermore, the cannabis industry presents substantial income generation prospects, especially for rural agriculturists, and has the capacity to augment tax revenue for local authorities. The research indicates that cannabis commercialisation could yield advantageous socio-economic results, such as poverty reduction, provided that stringent regulations and extensive community engagement are established. The research emphasises the importance of addressing legal and social equity challenges to ensure the sustainability of these benefits.
This study focuses on the governance challenges in enhancing Local Economic Development (LED) in Vhembe District Municipality (VDM). Good governance is a critical factor in enhancing LED, as it ensures transparency, accountability, inclusivity, and efficient resource management. However, the municipality faces a multiplicity of local economic challenges, including poorly maintained infrastructure, a lack of an LED strategy, limited capacity, and low community participation. The article employed a mixed-method approach that comprised quantitative and qualitative research methodologies. Data were collected through a closed-ended questionnaire and structured interviews. For data analysis, the article adopted statistical methods for quantitative data and thematic content analysis for qualitative data. The article found that a lack of accountability, ineffective policy implementation, poor communication, and insufficient financial management practices are challenges VDM faces in enhancing LED. To address these challenges, the municipality should implement stronger accountability measures for officials to ensure transparency and improve the effectiveness of LED efforts. Community engagement should be enhanced by creating more inclusive platforms for participation. The municipality must implement regular, targeted training initiatives to enhance officials’ skills, knowledge, and capacity to drive effective governance and sustainable economic growth. Training programs for municipal officials will improve governance and support economic development.
This study focuses on the governance challenges in enhancing Local Economic Development (LED) in Vhembe District Municipality (VDM). Good governance is a critical factor in enhancing LED, as it ensures transparency, accountability, inclusivity, and efficient resource management. However, the municipality faces a multiplicity of local economic challenges, including poorly maintained infrastructure, a lack of an LED strategy, limited capacity, and low community participation. The article employed a mixed-method approach that comprised quantitative and qualitative research methodologies. Data were collected through a closed-ended questionnaire and structured interviews. For data analysis, the article adopted statistical methods for quantitative data and thematic content analysis for qualitative data. The article found that a lack of accountability, ineffective policy implementation, poor communication, and insufficient financial management practices are challenges VDM faces in enhancing LED. To address these challenges, the municipality should implement stronger accountability measures for officials to ensure transparency and improve the effectiveness of LED efforts. Community engagement should be enhanced by creating more inclusive platforms for participation. The municipality must implement regular, targeted training initiatives to enhance officials’ skills, knowledge, and capacity to drive effective governance and sustainable economic growth. Training programs for municipal officials will improve governance and support economic development.
Despite the stigma surrounding cannabis, discourse has evolved, and it is now recognised as a viable economic commodity, reflecting a substantial transformation in societal attitudes. Several African countries have been exploring the industrial possibilities of medicinal hemp as a facet of economic development. This study aimed to examine the potential advantages of cannabis commercialisation in Limpopo province, South Africa. The study utilised a descriptive design and qualitative technique, focussing on cannabis enterprises. Snowball sampling was utilised to acquire a sample of 20 individuals. The sample size was determined by data saturation. Data was gathered through semi-structured interviews and thematically analysed using ATLAS.ti 23 software. The results indicate that the creation of cannabis cultivation and processing businesses may produce job opportunities, stimulate economic expansion, and promote community development. Furthermore, the cannabis industry presents substantial income generation prospects, especially for rural agriculturists, and has the capacity to augment tax revenue for local authorities. The research indicates that cannabis commercialisation could yield advantageous socio-economic results, such as poverty reduction, provided that stringent regulations and extensive community engagement are established. The research emphasises the importance of addressing legal and social equity challenges to ensure the sustainability of these benefits.
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 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:14 UTC |
| ojs-rest | 21 Oct 2026 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:02 UTC |
| oai-pmh | 20 Oct 2026 19:49 UTC · ijbes | complete · ijbes · 20 Oct 2026 19:48 UTC |
| openalex-enrichment | 21 Oct 2026 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:14 UTC |