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: 7 / 7 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 07:22 UTC — 22 Oct 2026 07:56 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.
6 / 7 with data · 1 missing or unmatched. Percentages use all 7 selected publications.
6 / 7 with data · 1 missing or unmatched. Percentages use all 7 selected publications.
7 / 7 with data · 0 missing or unmatched. Percentages use all 7 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 |
|---|---|---|---|---|---|
| 2016 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 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 |
|---|---|---|---|---|---|
| 2016 | All selected publications | 5 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 5 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| 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 |
|---|---|---|---|---|---|
| 2016 | All selected publications | 16 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 5 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 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 7 / 7 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): 2026-10-21T07:22:54.914008+00:00 — 2026-10-22T07:56:49.051030+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 | 1 | 7 | 7/7 |
| 2018 | All selected publications | 0 | 7 | 7/7 |
| 2019 | All selected publications | 1 | 7 | 7/7 |
| 2020 | All selected publications | 2 | 7 | 7/7 |
| 2021 | All selected publications | 4 | 7 | 7/7 |
| 2022 | All selected publications | 1 | 7 | 7/7 |
| 2023 | All selected publications | 4 | 7 | 7/7 |
| 2024 | All selected publications | 3 | 7 | 7/7 |
| 2025 | All selected publications | 4 | 7 | 7/7 |
| 2026 | All selected publications | 0 | 7 | 7/7 |
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 |
|---|---|
| 2016 | 1 |
| 2022 | 2 |
| 2023 | 1 |
| 2024 | 2 |
| 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 Research in Business and Social Science SSBFNET | 7 | 11 | 24 | 7/7 | 1.57 | 1 | 57.1 | 7/7 · 100.0% |
* Percentage among publications with a known citation count.
<p>There is an evidence of large scale migration of the rural poor to the cities/towns in search of employment in India, especially since 1991when India adopted Economic Reform Programme. In the absence of any affordable housing , there has been a growth of slums in the urban areas of the country. The Government of India (GOI) has been incorporating certain programmes to alleviate poverty , create employment opportunities and encourage planned urban development in its public policy , yet there has been a fast emergence of slums in the Indian cities due to a number of factors. The present paper aims to analyze certain demographic attributes of the slum population in India , its socio-economic and environmental impact and the public policy response towards the same. It also reviews certain programmes designed by the government to control the growth of slums and the efforts to rehabilitate the slum-dwellers. The data and definition of slums in India are based on the census of 2001, 65<sup>th</sup> round of NSSO and other GOI documents.</p>
The unprecedented rate of urbanization across the world has led to increased demand for good, affordable housing. This research was conducted to ascertain the reasons and challenges of urbanization on housing shortages in Gaborone, Botswana. The focal point of this study was to assess the impact of urbanization on the demand of housing in Gaborone, Botswana. Thereafter the study recommended astute strategies desirable to curb the problem of urbanization and scarcity of accommodation in Gaborone. This research used a descriptive research design and distributed questionnaires to Gaborone residents during data collection. The researchers used stratified and clustered sampling methods. The study results indicated the need for better educational facilities and employment opportunities as the major causes of urbanization in Gaborone. Shortage of housing, high rentals and escalating land prices were also identified as some of the major challenges of urbanization in Gaborone. The study recommended that the government to introduce rent control measures to restrict rising prices, the private sector should be encouraged to further participate in the provision of accommodation for different income groups to be sold or leased at subsidized rates. The study also recommended the government to buy plenty of land and real estate, to reduce speculative behaviour of land barons.
This paper examines the challenges facing the provision of low-cost housing conundrum, with specific reference to the Eastern Cape Province. The paper will further explore policy alternatives to the idea of low-cost housing scheme delivery over time with a view to improving delivery of low-cost housing inquest for integrated sustainable communities in the province. Against the above stated background, the aim of this paper is to investigate challenges facing the provision of low-cost housing on the people of Eastern Cape Province. The guiding research question of this paper is: what is the efficacy way of implementing integrated low-cost housing strategy in addressing the problem of affordable housing shortage for the poor in the Province through the Integrated Human Settlement Plan? This papers setting is in the Eastern Cape Province, South Africa. A mixed method approach is employed to explore and describe the complexities at play in the policy tensions conundrum in the Eastern Cape Province. The findings of this paper suggest that the goal and vision of Integrated Human Settlement Plan should be consistently communicated in clear simple terms to all affected, especially the rural poor communities as they are most affected by the provision of low-cost housing provision. This article contributes to the scholarship of Public Administration and Development Management of resources surrounding the ongoing debate on the implementation of Integrated Human Settlement programme’s and government interventions that are targeted at low income and poor communities in South Africa with regard to transformation, development and policy implementation. The main argument of this paper is that with an adequate policy execution of the government’s development agenda we can improve service delivery as well as integrated human settlement that brings human dignity to the province of the Eastern Cape.
The focus of the study was to assess the role of Presidential Issued Identity Cards (PIDs) in alleviating the street vendor’s business challenges in Dar es Salaam. Specifically, the study aimed to examine the influence of Presidential Identity Cards in alleviating the street vending business challenges, explore factors inhibiting the utilization of Vendors IDs cards in alleviating the street vendors’ challenges and identify the nature (financial, social relation, special) of problem that was solved by the establishment of PIDs. The study was conducted in Dar es Salaam city, where a sample of 130 respondents was selected. The study collected primary data by using questionnaires. Statistical Package for Social Science (SPSS) was used for descriptive and multiple regression analysis. The study found that Presidential Identity Cards have no significant influence on the reduction of street vendor business challenges. Furthermore, the study found that the establishment of PIDs fails to solve numerous problems facing street vendors, these are; financial, business problems, social problems and lack of permanent areas. The study concludes that despite the provision of Presidential Identity Cards to street vendors, most of the street vendors are lacking business support from the appropriate authorities. The study recommends that the provision of PIDs to street vendors should target to reduce challenges facing street vendors.
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.
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 paper examines the challenges facing the provision of low-cost housing conundrum, with specific reference to the Eastern Cape Province. The paper will further explore policy alternatives to the idea of low-cost housing scheme delivery over time with a view to improving delivery of low-cost housing inquest for integrated sustainable communities in the province. Against the above stated background, the aim of this paper is to investigate challenges facing the provision of low-cost housing on the people of Eastern Cape Province. The guiding research question of this paper is: what is the efficacy way of implementing integrated low-cost housing strategy in addressing the problem of affordable housing shortage for the poor in the Province through the Integrated Human Settlement Plan? This papers setting is in the Eastern Cape Province, South Africa. A mixed method approach is employed to explore and describe the complexities at play in the policy tensions conundrum in the Eastern Cape Province. The findings of this paper suggest that the goal and vision of Integrated Human Settlement Plan should be consistently communicated in clear simple terms to all affected, especially the rural poor communities as they are most affected by the provision of low-cost housing provision. This article contributes to the scholarship of Public Administration and Development Management of resources surrounding the ongoing debate on the implementation of Integrated Human Settlement programme’s and government interventions that are targeted at low income and poor communities in South Africa with regard to transformation, development and policy implementation. The main argument of this paper is that with an adequate policy execution of the government’s development agenda we can improve service delivery as well as integrated human settlement that brings human dignity to the province of the Eastern Cape.
Service delivery in cities is facing challenges related to high demand service delivery demand as a result of rural-urban migration patterns. This is the flow of people from rural areas to cities looking for better opportunities in relation to jobs and education. Thus, there is high demand for services in cites. The study seeks to assess whether there is high service delivery in cities because of rural-urban migration patterns. The study adopts a quantitative approach with the sample comprising 350 respondents, purposively selected through non- probability sampling, and required to complete a 5-point Likert scale questionnaire. The researcher assisted in terms of questionnaire administration. The completed questionnaire provided the quantitative data for statistical analysis, using SPSS version 28.0. Study findings indicate that, among other factors, problems related to illegal water connection, pit latrine, high electricity demand in urban areas which indicates more demand. The findings suggest a need for urban planning to harness the good aspects of rural- urban migration, providing key pointers for sustainable growth in local government, as well as to address the high urban crime rate, unemployment, delays in hospitals. This study activates proactive urban planning and community involvement through public participation channels and the need for urban municipalities to create bi-laws that will proactively dela with rural to urban migration.
Africa is experiencing rapid urbanization, making it one of the most urbanized continents in the world. This trend is particularly evident in the Southern African regional block. With the ongoing push for enhanced regional integration, it is anticipated that there would be a rise in the migration of individuals within the region. The escalating pace of urbanization calls for a reassessment of future cities and the implications of the rural-urban split on the establishment of sustainable human settlements. This article initially analyzes the patterns of migration within the Southern Africa Development Community. Furthermore, an analysis is conducted on the factors that contribute to the significant internal migration inside member states. Furthermore, the article examines the connection between migration and urbanization in the region once again. The article employs qualitative and quantitative methodologies to examine the consequences of migration and urbanization on both the locations from which people migrate and the areas where they settle. The primary factors contributing to migration include the pursuit of economic opportunity, political instability, access to education, and climate-induced disasters. Migration and urbanization have both gotten worse in the SADC region at the same time, as shown by empirical literature, official migration documents, and quantitative time series data from the World Development Indicators. This suggests that migration causes more people to move to cities. The rise in population has led to inadequate housing, resulting in an increase in slums that surpasses the projected capacity of cities. This article suggests promoting infrastructure development that facilitates employment creation in the nations or districts of origin in order to prevent a one-way movement of migrants. Consequently, a rise in job prospects, salaries, and health conditions will result in a reduction in migration rates and alleviate the strain on numerous cities in the area.
The unprecedented rate of urbanization across the world has led to increased demand for good, affordable housing. This research was conducted to ascertain the reasons and challenges of urbanization on housing shortages in Gaborone, Botswana. The focal point of this study was to assess the impact of urbanization on the demand of housing in Gaborone, Botswana. Thereafter the study recommended astute strategies desirable to curb the problem of urbanization and scarcity of accommodation in Gaborone. This research used a descriptive research design and distributed questionnaires to Gaborone residents during data collection. The researchers used stratified and clustered sampling methods. The study results indicated the need for better educational facilities and employment opportunities as the major causes of urbanization in Gaborone. Shortage of housing, high rentals and escalating land prices were also identified as some of the major challenges of urbanization in Gaborone. The study recommended that the government to introduce rent control measures to restrict rising prices, the private sector should be encouraged to further participate in the provision of accommodation for different income groups to be sold or leased at subsidized rates. The study also recommended the government to buy plenty of land and real estate, to reduce speculative behaviour of land barons.
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 |