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 00:49 UTC — 21 Oct 2026 07:23 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.
3 / 4 with data · 1 missing or unmatched. Percentages use all 4 selected publications.
3 / 4 with data · 1 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 |
|---|---|---|---|---|---|
| 2017 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 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 | 0 | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2017 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 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 | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2017 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 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 | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2026 | 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 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): 2026-10-21T00:49:29.399871+00:00 — 2026-10-21T07:23:07.464140+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 | 1 | 4 | 4/4 |
| 2021 | All selected publications | 0 | 4 | 4/4 |
| 2022 | All selected publications | 1 | 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 |
|---|---|
| 2017 | 1 |
| 2024 | 1 |
| 2026 | 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 | 4 | 0 | 2 | 4/4 | 0.0 | 0.0 | 0.0 | 4/4 · 100.0% |
* Percentage among publications with a known citation count.
South Africa has faced consistently elevated unemployment levels despite numerous macroeconomic reforms, prompting worries regarding the effectiveness of key economic indicators in promoting labour absorption. This study analyses the influence of economic growth (GDP), inflation (CPI), and foreign direct investment (FDI) on unemployment in South Africa, employing quarterly data from the first quarter of 2010 to the fourth quarter of 2023. The analysis utilises a quantitative design, implementing the Augmented Dickey-Fuller unit root test, the Johansen cointegration method, and a Vector Error Correction Model to evaluate the long- and short-term dynamics among the variables. The findings indicate that all variables are integrated of order one and possess a long-term equilibrium connection. Long-term estimates demonstrate substantial negative correlations, suggesting that increased GDP, CPI, and FDI are associated with a decrease in unemployment over time. In the near term, GDP elevates unemployment, indicating the prevalence of capital-intensive growth, whereas FDI persistently reduces unemployment and CPI remains negligible. These findings underscore the structural characteristics of unemployment in South Africa and the constraints of macroeconomic factors in facilitating short-term labour absorption. The report emphasises the significance of policies that promote labour-absorbing growth, improve the investment environment, and prioritise skills development to tackle ongoing unemployment.The report advocates for prioritising labour-intensive growth methods, enhancing the investment environment, and fortifying skills development systems to improve employment outcomes. These initiatives are essential for tackling persistent unemployment and fostering inclusive and sustainable economic growth.
This study examines the correlation between unemployment and economic growth in South Africa through a disaggregated analysis focused on educational attainment. Grounded in the Solow growth model and human capital theory, the research utilises annual time-series data from 1994 to 2022, obtained from the World Bank Indicators. Economic growth is represented by GDP growth, labour is indicated by unemployment rates categorised by advanced, intermediate, and basic education levels, and capital is measured by gross fixed capital creation. The Autoregressive Distributed Lag (ARDL) framework is utilised after conducting unit root and bounds tests, which validate the existence of long-run cointegration. The findings reveal a negative and statistically significant long-term association between economic growth and unemployment for those with basic and intermediate education, but unemployment among those with advanced education shows a negative but minor influence. Investment consistently demonstrates a favourable and substantial effect on growth. The findings emphasise structural unemployment and skills mismatches, highlighting the necessity for enhanced alignment between educational systems and labour market requirements to foster inclusive and sustainable economic growth in South Africa.
The paper investigates the relationship between inflation and unemployment in the South African setting, encompassing a comprehensive analysis of historical, theoretical, and empirical evidence. Existing literature surveys demonstrate that several studies have been conducted in multiple countries to ascertain the correlation between inflation and unemployment. The review incorporated the postulations of many economic schools of thought as they are applied to South Africa. The Phillips Curve was examined in accordance with the research purpose. The process involves gathering secondary data from reputable sources such as Statistics South Africa, the South African Reserve Bank, and other reliable secondary sources to analyse this relationship. The findings are presented using linear regression, tables, and figures. The study utilised annual inflation and unemployment data in South Africa spanning from 2000 to 2022 to elucidate the correlation between inflation and unemployment. The study discovered that the link was nonlinear and did not exhibit any meaningful association or correlation.
Unemployment is one of the most important social problems faced by all developed and developing countries. While countries are developing technologically, production systems are changing and it is becoming hard for workforce to keep pace with these developments. From Macedonia's independence (1991) to 2010, the most important problem in the economy was unemployment. The fact that production ceased in the first years of independence caused both industrial production and total production to decline. Considering the fact that the factories does not work, new people joined to the unemployed group. The Macedonian economy has struggled with high unemployment for 25 years. According to data from the Macedonian statistics agency, the unemployment rate in 2010 was about 39 percent, but in 2015 it has decreased to 25 percent.In OECD countries are implemented active policies in 6 important categories to increase employment. Macedonia has been implementing these policies since 2007. These policies have begun to give positive results. In addition, the decrease in unemployment is linked to foreign investments, but also the policies to struggle unemployment by the government has affected.
South Africa has faced consistently elevated unemployment levels despite numerous macroeconomic reforms, prompting worries regarding the effectiveness of key economic indicators in promoting labour absorption. This study analyses the influence of economic growth (GDP), inflation (CPI), and foreign direct investment (FDI) on unemployment in South Africa, employing quarterly data from the first quarter of 2010 to the fourth quarter of 2023. The analysis utilises a quantitative design, implementing the Augmented Dickey-Fuller unit root test, the Johansen cointegration method, and a Vector Error Correction Model to evaluate the long- and short-term dynamics among the variables. The findings indicate that all variables are integrated of order one and possess a long-term equilibrium connection. Long-term estimates demonstrate substantial negative correlations, suggesting that increased GDP, CPI, and FDI are associated with a decrease in unemployment over time. In the near term, GDP elevates unemployment, indicating the prevalence of capital-intensive growth, whereas FDI persistently reduces unemployment and CPI remains negligible. These findings underscore the structural characteristics of unemployment in South Africa and the constraints of macroeconomic factors in facilitating short-term labour absorption. The report emphasises the significance of policies that promote labour-absorbing growth, improve the investment environment, and prioritise skills development to tackle ongoing unemployment.The report advocates for prioritising labour-intensive growth methods, enhancing the investment environment, and fortifying skills development systems to improve employment outcomes. These initiatives are essential for tackling persistent unemployment and fostering inclusive and sustainable economic growth.
This study examines the correlation between unemployment and economic growth in South Africa through a disaggregated analysis focused on educational attainment. Grounded in the Solow growth model and human capital theory, the research utilises annual time-series data from 1994 to 2022, obtained from the World Bank Indicators. Economic growth is represented by GDP growth, labour is indicated by unemployment rates categorised by advanced, intermediate, and basic education levels, and capital is measured by gross fixed capital creation. The Autoregressive Distributed Lag (ARDL) framework is utilised after conducting unit root and bounds tests, which validate the existence of long-run cointegration. The findings reveal a negative and statistically significant long-term association between economic growth and unemployment for those with basic and intermediate education, but unemployment among those with advanced education shows a negative but minor influence. Investment consistently demonstrates a favourable and substantial effect on growth. The findings emphasise structural unemployment and skills mismatches, highlighting the necessity for enhanced alignment between educational systems and labour market requirements to foster inclusive and sustainable economic growth in South Africa.
The paper investigates the relationship between inflation and unemployment in the South African setting, encompassing a comprehensive analysis of historical, theoretical, and empirical evidence. Existing literature surveys demonstrate that several studies have been conducted in multiple countries to ascertain the correlation between inflation and unemployment. The review incorporated the postulations of many economic schools of thought as they are applied to South Africa. The Phillips Curve was examined in accordance with the research purpose. The process involves gathering secondary data from reputable sources such as Statistics South Africa, the South African Reserve Bank, and other reliable secondary sources to analyse this relationship. The findings are presented using linear regression, tables, and figures. The study utilised annual inflation and unemployment data in South Africa spanning from 2000 to 2022 to elucidate the correlation between inflation and unemployment. The study discovered that the link was nonlinear and did not exhibit any meaningful association or correlation.
Unemployment is one of the most important social problems faced by all developed and developing countries. While countries are developing technologically, production systems are changing and it is becoming hard for workforce to keep pace with these developments. From Macedonia's independence (1991) to 2010, the most important problem in the economy was unemployment. The fact that production ceased in the first years of independence caused both industrial production and total production to decline. Considering the fact that the factories does not work, new people joined to the unemployed group. The Macedonian economy has struggled with high unemployment for 25 years. According to data from the Macedonian statistics agency, the unemployment rate in 2010 was about 39 percent, but in 2015 it has decreased to 25 percent.In OECD countries are implemented active policies in 6 important categories to increase employment. Macedonia has been implementing these policies since 2007. These policies have begun to give positive results. In addition, the decrease in unemployment is linked to foreign investments, but also the policies to struggle unemployment by the government has affected.
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 |