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 01:20 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 |
|---|---|---|---|---|---|
| 2026 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2026 | All selected publications | 0 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2026 | All selected publications | 0 | 4 | 4/4 | 4/4 |
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): 2026-10-21T07:23:09.606497+00:00 — 2026-10-22T01:20:24.569468+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 | 0 | 4 | 4/4 |
| 2024 | All selected publications | 0 | 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 |
|---|---|
| 2026 | 4 |
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 | 3 | 0 | 0 | 3/3 | 0.0 | 0 | 0.0 | 3/3 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 1 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
* Percentage among publications with a known citation count.
Government-led housing initiatives are essential in disrupting cycles of poverty, as access to adequate shelter serves as a foundation for wider social and economic progress. This article includes 280 landless families from the Asharayan of Gopalganj district. The primary data for this study were collected with a predetermined questionnaire from June to August 2024. A stratified sampling technique was used to ensure a representative sample of landless households across the five upazilas of Gopalganj District. The sample is almost evenly split between males (47.9%) and females (52.1%), showing a slightly higher proportion of women. The largest age group is 25–40 years (44.6%), followed by 40–55 years (34.6%). Most respondents belong to nuclear families (80.4%), while only 19.6% live in joint families. The majority of households consist of 4–6 members (59.6%). Most households have at least one earning member (76.1%). A large proportion of respondents are illiterate (48.9%), while about one-third (33.2%) have completed primary education. Most earn between BDT 10,000–15,000 (28.2%). A majority (74.6%) reported an improvement in their condition, while 25.4% stated no improvement from staying in the Ashrayan project. Bivariate analyses showed a significant association between the improvement of overall conditions-such as housing, health, child education facilities, economic situation, satisfaction level, employment status, average monthly income, access to loans, and electricity-and the living conditions of the Ashrayan project’s residents. Binary logistic regression model detect that electricity facilities, housing condition and employment have significant impact on socio-economic condition of the landless people of that Ashrayan Project.
This article systematically reviews literature on the challenges affecting the delivery of low-income housing in Cape Town, South Africa. A systematic method, informed by PRISMA, was employed to identify, evaluate, and select relevant scholarly works, official documents, policy papers, and governmental publications. The identified sources were subjected to a thematic analysis with the objective to pinpoint recurrent issues that impact the provision of low-income housing. The review found that low-income housing delivery in Cape Town is affected by interconnected challenges, including land availability, spatial inequality, funding constraints, infrastructure limitations, administrative delays, weak institutional coordination, limited stakeholder participation and transparency concerns. The results demonstrate that low-income housing delivery should be viewed as a major governance, planning, and service-delivery issue in addition to the building of housing units. This paper suggests that integrated human settlements, better financial planning, more transparent approval processes, more intergovernmental cooperation, significant stakeholder participation, and open communication should be given top priority when it comes to Cape Town's low-income housing delivery. Through summarizing previous research and emphasizing the necessity of an integrated strategy to address Cape Town's low-income housing issues, the article adds to the conversation regarding housing delivery.
Rapid urbanisation in South Africa is reshaping the country’s spatial geography, largely driven by internal migration from rural areas and financially disadvantaged towns to urban centres. Key destinations, such as Gauteng, KwaZulu-Natal, and Cape Town, attract migrants seeking work, education, and better lifestyles. However, this movement places greater strain on urban systems by increasing demand for housing, water, energy, sanitation, transportation, and other basic public amenities. It also adds to urbanisation, overpopulation, the spread of informal settlements, land-use disputes, and governance issues. These shifts underscore the urgency for municipalities to shift away from planning models built on stable demographics and toward governance systems that respond to migration and demographic shifts. This research explores the connection between internal migration and local governance in South Africa, with an emphasis on the effects for inclusive service provision and urban sustainability. A qualitative study technique was adopted, including a conceptual document review of academic, policy, and institutional materials. The research reviewed data on migration patterns, governance capacity, participatory mechanisms, and planning solutions in the context of local government. Results showed that several municipalities have not adequately embraced migration dynamics in their urban planning practices. Existing participation methods generally exclude migrants and other transitory communities, leading to underrepresentation and choices that fail to capture changing urban demands. Delayed planning decisions increase infrastructure pressure, service provision backlogs, informal areas, and spatial inequalities. The study suggests that internal migration needs to be central to urban planning and accountability. It advocates for migration-informed spatial decision-making, increased engagement of mobile residents in Integrated Development Plan (IDP) operations, and unified governance revisions to promote inclusive and urban sustainability.
Developing economies prominently highlight urbanisation and internal migration as key aspects of economic development and growth; hence, labour reallocation, structural change, and management are essential for sustainable development. Moreover, an imbalance between urbanisation and internal migration frequently results in labour market distortion and underdevelopment in rural regions. Nonetheless, an unresolved discourse persists regarding the correlation between internal migration, urbanisation, and economic growth within academic circles. It is imperative for this debate to reach a conclusion, thereby enabling academia to guide governmental recognition of the significant impact that internal migration and urbanisation exert on economic growth and development in Africa. Moreover, foreign immigration has continued to be less regulated in African nations, despite the significance of urban expansion and rural development. This study analyses the evolution and economic requirements of internal migration and urbanisation in developing economies, particularly within the African setting, referencing foundational South African studies. The research employs a conceptual framework grounded in the theoretical principles of internal migration and urbanisation in developing economies. The research indicates that effective urbanisation and the management of internal migration can sustain labour markets. If increasing internal migration and urbanisation are not well handled alongside industrial expansion, they would likely result in informal employment and heightened demand for services, adversely impacting growth. Urban employment prospects and income disparities typically serve as internal migratory pull forces, necessitating state-led urbanisation and the enhancement of governance capacity. Investment in infrastructure, innovative urban planning, and legislative reforms can effectively leverage the dynamics of internal migration and urbanisation. There is an urgent necessity for equitable and sustainable economic development that incorporates a responsive migration framework and people mobility. This work enhances the existing knowledge base by synthesising previous research on internal migration and urbanisation, while examining unrestrained population movements.
This article systematically reviews literature on the challenges affecting the delivery of low-income housing in Cape Town, South Africa. A systematic method, informed by PRISMA, was employed to identify, evaluate, and select relevant scholarly works, official documents, policy papers, and governmental publications. The identified sources were subjected to a thematic analysis with the objective to pinpoint recurrent issues that impact the provision of low-income housing. The review found that low-income housing delivery in Cape Town is affected by interconnected challenges, including land availability, spatial inequality, funding constraints, infrastructure limitations, administrative delays, weak institutional coordination, limited stakeholder participation and transparency concerns. The results demonstrate that low-income housing delivery should be viewed as a major governance, planning, and service-delivery issue in addition to the building of housing units. This paper suggests that integrated human settlements, better financial planning, more transparent approval processes, more intergovernmental cooperation, significant stakeholder participation, and open communication should be given top priority when it comes to Cape Town's low-income housing delivery. Through summarizing previous research and emphasizing the necessity of an integrated strategy to address Cape Town's low-income housing issues, the article adds to the conversation regarding housing delivery.
Rapid urbanisation in South Africa is reshaping the country’s spatial geography, largely driven by internal migration from rural areas and financially disadvantaged towns to urban centres. Key destinations, such as Gauteng, KwaZulu-Natal, and Cape Town, attract migrants seeking work, education, and better lifestyles. However, this movement places greater strain on urban systems by increasing demand for housing, water, energy, sanitation, transportation, and other basic public amenities. It also adds to urbanisation, overpopulation, the spread of informal settlements, land-use disputes, and governance issues. These shifts underscore the urgency for municipalities to shift away from planning models built on stable demographics and toward governance systems that respond to migration and demographic shifts. This research explores the connection between internal migration and local governance in South Africa, with an emphasis on the effects for inclusive service provision and urban sustainability. A qualitative study technique was adopted, including a conceptual document review of academic, policy, and institutional materials. The research reviewed data on migration patterns, governance capacity, participatory mechanisms, and planning solutions in the context of local government. Results showed that several municipalities have not adequately embraced migration dynamics in their urban planning practices. Existing participation methods generally exclude migrants and other transitory communities, leading to underrepresentation and choices that fail to capture changing urban demands. Delayed planning decisions increase infrastructure pressure, service provision backlogs, informal areas, and spatial inequalities. The study suggests that internal migration needs to be central to urban planning and accountability. It advocates for migration-informed spatial decision-making, increased engagement of mobile residents in Integrated Development Plan (IDP) operations, and unified governance revisions to promote inclusive and urban sustainability.
Government-led housing initiatives are essential in disrupting cycles of poverty, as access to adequate shelter serves as a foundation for wider social and economic progress. This article includes 280 landless families from the Asharayan of Gopalganj district. The primary data for this study were collected with a predetermined questionnaire from June to August 2024. A stratified sampling technique was used to ensure a representative sample of landless households across the five upazilas of Gopalganj District. The sample is almost evenly split between males (47.9%) and females (52.1%), showing a slightly higher proportion of women. The largest age group is 25–40 years (44.6%), followed by 40–55 years (34.6%). Most respondents belong to nuclear families (80.4%), while only 19.6% live in joint families. The majority of households consist of 4–6 members (59.6%). Most households have at least one earning member (76.1%). A large proportion of respondents are illiterate (48.9%), while about one-third (33.2%) have completed primary education. Most earn between BDT 10,000–15,000 (28.2%). A majority (74.6%) reported an improvement in their condition, while 25.4% stated no improvement from staying in the Ashrayan project. Bivariate analyses showed a significant association between the improvement of overall conditions-such as housing, health, child education facilities, economic situation, satisfaction level, employment status, average monthly income, access to loans, and electricity-and the living conditions of the Ashrayan project’s residents. Binary logistic regression model detect that electricity facilities, housing condition and employment have significant impact on socio-economic condition of the landless people of that Ashrayan Project.
Developing economies prominently highlight urbanisation and internal migration as key aspects of economic development and growth; hence, labour reallocation, structural change, and management are essential for sustainable development. Moreover, an imbalance between urbanisation and internal migration frequently results in labour market distortion and underdevelopment in rural regions. Nonetheless, an unresolved discourse persists regarding the correlation between internal migration, urbanisation, and economic growth within academic circles. It is imperative for this debate to reach a conclusion, thereby enabling academia to guide governmental recognition of the significant impact that internal migration and urbanisation exert on economic growth and development in Africa. Moreover, foreign immigration has continued to be less regulated in African nations, despite the significance of urban expansion and rural development. This study analyses the evolution and economic requirements of internal migration and urbanisation in developing economies, particularly within the African setting, referencing foundational South African studies. The research employs a conceptual framework grounded in the theoretical principles of internal migration and urbanisation in developing economies. The research indicates that effective urbanisation and the management of internal migration can sustain labour markets. If increasing internal migration and urbanisation are not well handled alongside industrial expansion, they would likely result in informal employment and heightened demand for services, adversely impacting growth. Urban employment prospects and income disparities typically serve as internal migratory pull forces, necessitating state-led urbanisation and the enhancement of governance capacity. Investment in infrastructure, innovative urban planning, and legislative reforms can effectively leverage the dynamics of internal migration and urbanisation. There is an urgent necessity for equitable and sustainable economic development that incorporates a responsive migration framework and people mobility. This work enhances the existing knowledge base by synthesising previous research on internal migration and urbanisation, while examining unrestrained population movements.
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 |