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 07:22 UTC — 22 Oct 2026 07:53 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 |
|---|---|---|---|---|---|
| 2023 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 6 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 9 | 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): 2026-10-21T07:22:46.056142+00:00 — 2026-10-22T07:53:29.738031+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 | 4 | 4 | 4/4 |
| 2025 | All selected publications | 5 | 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 |
|---|---|
| 2023 | 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 Research in Business and Social Science SSBFNET | 4 | 6 | 9 | 4/4 | 1.5 | 0.5 | 50.0 | 4/4 · 100.0% |
* Percentage among publications with a known citation count.
Recently, demographic factors that influence financial literacy have become increasingly important for policymakers than ever before. The primary purpose of this study was to establish the relationship between demographic factors and financial literacy among adults in a rural and low-income areas of South Africa. The objectives were to determine which gender uses a budget, which age cohort keeps copies of financial documents, which category of education level is saving for retirement, and the correlation between education level and saving for retirement. Descriptive statistics and correlation analysis were used to analysed data. The results showed that males used a budget more than females by a low margin. Adults struggled to keep copies of financial documents; however, adults between the ages of 41-50 kept copies of financial documents the most. Those with matric were better savers for retirement than other levels of education, besides the fact that most adults were not saving for retirement. The study also revealed a negative correlation between education level and retirement savings. Thus, the relationship between demographic factors and financial literacy was negative. The study concludes by suggesting interventions that could help adults improve their financial literacy and manage and sustain their financial well-being.
The moderating effect of parental income on parental financial communication and financial literacy is increasingly becoming important. The objective of this study was to determine whether the relationship between parental financial communication of young adults and their financial literacy is moderated by parental income. Financial literacy was measured through financial knowledge, financial behaviour, financial attitudes, and financial decision-making. Quantitative research approach was adopted for this study. Self-administered questionnaire was used to collect data among young adults in South Africa. Moderated regression analysis was used to analyse data. Four hypotheses were tested. The results showed that parental income moderated the relationship between parental financial communication with financial knowledge, financial behaviour, financial attitude, and financial decision-making. Therefore, the overall results indicated that the relationship between parental financial communication and financial literacy is moderated by parental income. This study is amongst the first to investigate whether the relationship between parental financial communication and financial literacy is moderated by parental income. This study concluded by providing recommendations and suggestions for future research.
The article aims to promote financial literacy among youngsters from low-income backgrounds, encouraging them to engage in cost-effective investments that will enable them to accumulate wealth in the future. The article outlines a novel approach in life skills that entails shifting away from relying on uncertain grants and supports. Instead, it proposes utilizing a straightforward and practical mathematical model to generate money starting from a young age. The authors demonstrate that by utilizing a highly efficient investing option, young children have the ability to generate substantial wealth. To exemplify, we demonstrate the suggested methodology utilizing sequences and summations. Our method/proposal facilitates the enhancement of boundless wealth generation by enabling those who can invest more than the minimum requirement to accumulate greater wealth. The efficacy assessment of the new method is validated through the computation of the smallest investment, which is merely symbolic, yet yields boundless financial outcomes. The study findings, which have the potential to enhance governmental decision-making, can also be utilized for personal betterment. This work is innovative as it presents an alternative approach that imparts discipline, consistency, and honesty. It allows individuals to easily adopt the model with appropriate adjustments, hence facilitating the creation of wealth.
Financial literacy (FL) is a crucial skill set that police officers must possess, particularly in managing their funds during their tenure in the police force and as they approach retirement from their service. The extent of an individual's FL will directly impact the extent of their financial planning knowledge and budgeting abilities required as a police officer, commencing from the initial stages of their career. The primary objective of this study is to investigate the level of FL within the police force, with a particular emphasis on the factors of financial knowledge, attitude, and behaviour. The study employed a simple random sampling technique to gather data from a sample of 68 law enforcement employees stationed in Vosman and Klipfointein. The data was acquired through survey questionnaires. The data were descriptively analysed using the Statistical Package for the Social Sciences (SPSS). The results of the study suggest that police officers often possess low to moderate levels of FL. However, there is a positive correlation observed between the variables under investigation. The recommendation proposes that the government should implement ongoing training and short-term interventions focused on FL, with a particular emphasis on tailoring these initiatives to individuals' income levels and lifestyles. This study utilized intervention and transformational learning theory to support law enforcement professionals in enhancing their financial planning both prior to and following their employment, by means of financial education.
The article aims to promote financial literacy among youngsters from low-income backgrounds, encouraging them to engage in cost-effective investments that will enable them to accumulate wealth in the future. The article outlines a novel approach in life skills that entails shifting away from relying on uncertain grants and supports. Instead, it proposes utilizing a straightforward and practical mathematical model to generate money starting from a young age. The authors demonstrate that by utilizing a highly efficient investing option, young children have the ability to generate substantial wealth. To exemplify, we demonstrate the suggested methodology utilizing sequences and summations. Our method/proposal facilitates the enhancement of boundless wealth generation by enabling those who can invest more than the minimum requirement to accumulate greater wealth. The efficacy assessment of the new method is validated through the computation of the smallest investment, which is merely symbolic, yet yields boundless financial outcomes. The study findings, which have the potential to enhance governmental decision-making, can also be utilized for personal betterment. This work is innovative as it presents an alternative approach that imparts discipline, consistency, and honesty. It allows individuals to easily adopt the model with appropriate adjustments, hence facilitating the creation of wealth.
Financial literacy (FL) is a crucial skill set that police officers must possess, particularly in managing their funds during their tenure in the police force and as they approach retirement from their service. The extent of an individual's FL will directly impact the extent of their financial planning knowledge and budgeting abilities required as a police officer, commencing from the initial stages of their career. The primary objective of this study is to investigate the level of FL within the police force, with a particular emphasis on the factors of financial knowledge, attitude, and behaviour. The study employed a simple random sampling technique to gather data from a sample of 68 law enforcement employees stationed in Vosman and Klipfointein. The data was acquired through survey questionnaires. The data were descriptively analysed using the Statistical Package for the Social Sciences (SPSS). The results of the study suggest that police officers often possess low to moderate levels of FL. However, there is a positive correlation observed between the variables under investigation. The recommendation proposes that the government should implement ongoing training and short-term interventions focused on FL, with a particular emphasis on tailoring these initiatives to individuals' income levels and lifestyles. This study utilized intervention and transformational learning theory to support law enforcement professionals in enhancing their financial planning both prior to and following their employment, by means of financial education.
The moderating effect of parental income on parental financial communication and financial literacy is increasingly becoming important. The objective of this study was to determine whether the relationship between parental financial communication of young adults and their financial literacy is moderated by parental income. Financial literacy was measured through financial knowledge, financial behaviour, financial attitudes, and financial decision-making. Quantitative research approach was adopted for this study. Self-administered questionnaire was used to collect data among young adults in South Africa. Moderated regression analysis was used to analyse data. Four hypotheses were tested. The results showed that parental income moderated the relationship between parental financial communication with financial knowledge, financial behaviour, financial attitude, and financial decision-making. Therefore, the overall results indicated that the relationship between parental financial communication and financial literacy is moderated by parental income. This study is amongst the first to investigate whether the relationship between parental financial communication and financial literacy is moderated by parental income. This study concluded by providing recommendations and suggestions for future research.
Recently, demographic factors that influence financial literacy have become increasingly important for policymakers than ever before. The primary purpose of this study was to establish the relationship between demographic factors and financial literacy among adults in a rural and low-income areas of South Africa. The objectives were to determine which gender uses a budget, which age cohort keeps copies of financial documents, which category of education level is saving for retirement, and the correlation between education level and saving for retirement. Descriptive statistics and correlation analysis were used to analysed data. The results showed that males used a budget more than females by a low margin. Adults struggled to keep copies of financial documents; however, adults between the ages of 41-50 kept copies of financial documents the most. Those with matric were better savers for retirement than other levels of education, besides the fact that most adults were not saving for retirement. The study also revealed a negative correlation between education level and retirement savings. Thus, the relationship between demographic factors and financial literacy was negative. The study concludes by suggesting interventions that could help adults improve their financial literacy and manage and sustain their financial well-being.
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 |