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 01:06 UTC — 22 Oct 2026 01:26 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 |
|---|---|---|---|---|---|
| 2025 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | All selected publications | 0 | 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): 2026-10-22T01:06:36.638472+00:00 — 2026-10-22T01:26:49.573642+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 | 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 |
|---|---|
| 2025 | 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 Business Ecosystem & Strategy Bussecon International Academy | 2 | 0 | 0 | 2/2 | 0.0 | 0.0 | 0.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
Globally, financial inclusion is regarded as being crucial for balancing an economy's financial system. However, despite the significance of financial inclusion, it still needs to be clarified to what extent it is practiced. In this study, the assessment of the performance of the 49 Sub Saharan Africa (SSA) countries as regards financial inclusion was carried out through the construction of a single composite Financial Inclusion Index (FII) to capture the four dimensions of financial inclusion. Z-sum score and Principal Component Analysis (PCA) was deployed to analyse the secondary data spanning from 1999 to 2023. The decision rule deployed was that if a value for Financial Inclusion Index (FII) from zero to forty-nine (0-49) this shows that there is low financial inclusion; medium financial inclusion from fifty to sixty-nine (50-69) while, a value from seventy and above (70- above) denotes the high financial inclusion) for the study period. The result revealed that all SSA countries are low that is they fall into between zero (0) to forty-nine (49) in the composite financial inclusion index in line with the decision rule. Also, the result indicated that Sao-Tome and Principe was the best performing SSA country with the highest financial inclusion penetration per thousand considered during the period of the study.
This study aimed to identify the financial management techniques of waste pickers and their perspectives on entrepreneurship. The research concentrates on the Durban metropolitan region and employs a sample of 100 rubbish pickers from three suburbs adjacent to significant informal populations. A quantitative methodology is utilised, employing a questionnaire as the data gathering instrument. The questionnaire was translated into IsiZulu to accommodate non-English speaking individuals. The questionnaire comprised three sections: biographical information, financial management techniques, and attitudes towards entrepreneurship. The results indicate that most waste pickers originate from single-parent households and receive a government payment for an average of two children. Several respondents, predominantly female, reported that they often utilise 'omatshonisa' (informal moneylenders) while anticipating revenue from the sale of their goods. The majority of respondents said that, despite opening bank accounts, these accounts had remained inactive for at least one year due to minimal revenues. Women possess the majority of bank accounts. Waste pickers earn an average of R607 monthly, with a minimum of R200 and a maximum of R2,000. The waste pickers do not save the earnings from the sale of salvaged goods, as the funds are allocated for purchasing meals for children. The study additionally reveals that age has a positive correlation with both waste picking experience and the frequency of days worked per week. These associations exhibit statistical significance. The majority of waste pickers expressed a willingness to initiate cooperatives and small businesses, contingent upon the availability of mentoring and money. This study influences entrepreneurship, environmental, and health policies for municipal, provincial, and central governments. This research will direct scholars to pursue other investigations on the topic
Globally, financial inclusion is regarded as being crucial for balancing an economy's financial system. However, despite the significance of financial inclusion, it still needs to be clarified to what extent it is practiced. In this study, the assessment of the performance of the 49 Sub Saharan Africa (SSA) countries as regards financial inclusion was carried out through the construction of a single composite Financial Inclusion Index (FII) to capture the four dimensions of financial inclusion. Z-sum score and Principal Component Analysis (PCA) was deployed to analyse the secondary data spanning from 1999 to 2023. The decision rule deployed was that if a value for Financial Inclusion Index (FII) from zero to forty-nine (0-49) this shows that there is low financial inclusion; medium financial inclusion from fifty to sixty-nine (50-69) while, a value from seventy and above (70- above) denotes the high financial inclusion) for the study period. The result revealed that all SSA countries are low that is they fall into between zero (0) to forty-nine (49) in the composite financial inclusion index in line with the decision rule. Also, the result indicated that Sao-Tome and Principe was the best performing SSA country with the highest financial inclusion penetration per thousand considered during the period of the study.
This study aimed to identify the financial management techniques of waste pickers and their perspectives on entrepreneurship. The research concentrates on the Durban metropolitan region and employs a sample of 100 rubbish pickers from three suburbs adjacent to significant informal populations. A quantitative methodology is utilised, employing a questionnaire as the data gathering instrument. The questionnaire was translated into IsiZulu to accommodate non-English speaking individuals. The questionnaire comprised three sections: biographical information, financial management techniques, and attitudes towards entrepreneurship. The results indicate that most waste pickers originate from single-parent households and receive a government payment for an average of two children. Several respondents, predominantly female, reported that they often utilise 'omatshonisa' (informal moneylenders) while anticipating revenue from the sale of their goods. The majority of respondents said that, despite opening bank accounts, these accounts had remained inactive for at least one year due to minimal revenues. Women possess the majority of bank accounts. Waste pickers earn an average of R607 monthly, with a minimum of R200 and a maximum of R2,000. The waste pickers do not save the earnings from the sale of salvaged goods, as the funds are allocated for purchasing meals for children. The study additionally reveals that age has a positive correlation with both waste picking experience and the frequency of days worked per week. These associations exhibit statistical significance. The majority of waste pickers expressed a willingness to initiate cooperatives and small businesses, contingent upon the availability of mentoring and money. This study influences entrepreneurship, environmental, and health policies for municipal, provincial, and central governments. This research will direct scholars to pursue other investigations on the topic
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 |