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: 25 / 26 publications (96.2%). 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 00:14 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.
24 / 26 with data · 2 missing or unmatched. Percentages use all 26 selected publications.
24 / 26 with data · 2 missing or unmatched. Percentages use all 26 selected publications.
26 / 26 with data · 0 missing or unmatched. Percentages use all 26 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 |
|---|---|---|---|---|---|
| 2014 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2017 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2023 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2024 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2025 | All selected publications | 5 | 5 | 5/5 | 5/5 |
| 2026 | All selected publications | 3 | 3 | 2/3 | 3/3 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2014 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 11 | 3 | 3/3 | 3/3 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 5 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | 17 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 11 | 4 | 4/4 | 4/4 |
| 2023 | All selected publications | 6 | 4 | 4/4 | 4/4 |
| 2024 | All selected publications | 0 | 3 | 3/3 | 3/3 |
| 2025 | All selected publications | 2 | 5 | 5/5 | 5/5 |
| 2026 | All selected publications | 0 | 3 | 2/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2014 | All selected publications | 9 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 14 | 3 | 3/3 | 3/3 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 6 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | 37 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 23 | 4 | 4/4 | 4/4 |
| 2023 | All selected publications | 9 | 4 | 4/4 | 4/4 |
| 2024 | All selected publications | 2 | 3 | 3/3 | 3/3 |
| 2025 | All selected publications | 2 | 5 | 5/5 | 5/5 |
| 2026 | All selected publications | 0 | 3 | 2/3 | 3/3 |
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 26 / 26 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): 2026-10-21T00:14:30.104921+00:00 — 2026-10-21T07:23:08.202708+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 | 2 | 26 | 26/26 |
| 2018 | All selected publications | 1 | 26 | 26/26 |
| 2019 | All selected publications | 5 | 26 | 26/26 |
| 2020 | All selected publications | 3 | 26 | 26/26 |
| 2021 | All selected publications | 6 | 26 | 26/26 |
| 2022 | All selected publications | 11 | 26 | 26/26 |
| 2023 | All selected publications | 18 | 26 | 26/26 |
| 2024 | All selected publications | 18 | 26 | 26/26 |
| 2025 | All selected publications | 21 | 26 | 26/26 |
| 2026 | All selected publications | 12 | 26 | 26/26 |
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 |
|---|---|
| 2014 | 1 |
| 2016 | 3 |
| 2019 | 2 |
| 2020 | 1 |
| 2022 | 4 |
| 2023 | 4 |
| 2024 | 3 |
| 2025 | 5 |
| 2026 | 3 |
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 | 1 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 7 | 11 | 20 | 7/7 | 1.83 | 0.0 | 33.3 | 6/7 · 85.7% |
| International Journal of Research in Business and Social Science SSBFNET | 18 | 43 | 82 | 18/18 | 2.39 | 1.0 | 55.6 | 18/18 · 100.0% |
* Percentage among publications with a known citation count.
In this study, 396 university students in Turkey are surveyed online regarding their attitudes towards financial issues, their level of financial knowledge, and their financial behavior. The latest version of OECD/INFE Financial Literacy Survey (2018) is used in the study. Using SPSS and LISREL. Factor analysis, Cronbach's Alpha, and Structural Equation Modeling (SEM) are used to analyze the relationship between financial knowledge of the participants with their financial attitude and behavior as well as the mediation effect of financial attitude in this relationship. In line with the common wisdom that the relationship between knowledge and behavior is higher if knowledge is better reflected in the attitude of the individual, the mediation effect of financial attitude strengthens the financial knowledge and financial behavior relationship.
Emeklilik fonlar?, i) uzun vadeli yat?r?m perspektifine sahip olmas?, ii) finansal piyasalardaki oynakl??? uzun vadeye yayarak absorbe edebilmesi, ve iii) yat?r?mlar?n? hisse senedi ve altyap? fonlar? ile reel ekonomiye aktarmalar? sayesinde; finansal piyasalardaki oynakl???n azalmas?na katk?da bulunmaktad?r. Bu çal??ma, geli?mekte olan ülkelerde (GOÜ), emeklilik fonlar?n?n ekonomideki pay?n?n en dü?ük oldu?u ülkelerden Türkiye'de (%2) ve en yüksek oldu?u ülkelerden ?ili'de (%66) emeklilik sistemlerinin kar??la?t?rmal? analizini sunarak, emeklilik fonlar?n?n finansal piyasalardaki oynakl??a olan etkisini 2004-2014 dönemi için incelemektedir. Çal??ma ayn? zamanda, Türkiye’de uygulanmas? planlanan ‘otomatik kat?l?m sistemi’ ve bu sistemi tamamlay?c? ‘fon ürünleri’ üzerine politika önerilerini de kapsamaktad?r.
Küreselle?me, mal ve hizmetlerin dünya ölçe?inde serbest dola??m?d?r. Günümüzde teknolojide ya?anan geli?meler küreselle?menin h?z?n? artt?rm??t?r. Küreselle?meyle birlikte, ekonomik geli?melerde ya?anan belirsizlik ve karma??kl?k, toplumlar?n ve bireylerin sosyo- ekonomik yap?lar?n? de?i?tirmi?tir. Toplumlar?n sosyo ekonomik yap?lar? bireylerin finansal kararlar?yla ?ekillenmektedir. Bireylerin alm?? oldu?u finansal kararlar?n do?rulu?u, bireylerin finansal okuryazarl?k düzeyi ile ilgilidir. Karma??k ve belirsiz ko?ullar içindeki ekonomide toplumun en küçük yap?s? olan ailelerin ald??? finansal kararlar sadece aileyi de?il tüm toplumu etkilemektedir. Ailelerin de?i?imin h?zl? ve sürekli oldu?u ekonomik hayatta ald??? yanl?? finansal kararlar nedeniyle birlik ve düzeni bozulmaktad?r. Bunun için demografik özelli?i farkl? her bireyin sahip oldu?u finansal okuryazarl?k düzeyini yükseltecek finansal e?itim uygulamalar?n?n önemi yüksektir. Birçok ara?t?rmada, ya?l? ve e?itim düzeyi dü?ük bireylerin daha çok finansal risk içinde oldu?u vurgulanmaktad?r. Bu çal??mada, Türk Silahl? Kuvvetlerinde görev yapm?? emekli askeri personelin finansal okuryazarl?k seviyesi incelenmi?tir. Ülkenin savunma hizmetlerinde çal??an Türk Silahl? Kuvvetleri personeli, görev sahas? itibariyle finansal sistemlerde ya?anan geli?melere uzak kalabilmektedir. Bu durum, bilgiye dayal? finansal kararlar alma becerisinin önemini art?rmaktad?r. Çal??ma sonucunda, emekli askeri personelin finansal okuryazarl?k seviyesi ve finansal bilgileri tespit edilmi?tir. Bu tespitler do?rultusunda aktif olarak görev yapan askeri personelin gelece?e dönük finansal fark?ndal???n? artt?rmak amaçlanm??t?r.
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.
We measure the level of financial literacy in Turkey using the OECD/International Network on Financial Education (INFE) methodology and compare our results with the ones obtained in 14 other countries that has used the same methodology. In our sample, financial knowledge and financial behavior levels are lower than the average of the 14 countries, whereas financial attitude level is around the average. The overall financial literacy score, which is a combination of the three aforementioned aspects, is also lower than the average of the 14 countries. We find that financial behavior is positively related with financial knowledge, female respondents are lagging behind the male respondents in financial literacy, and this lag is bigger than those in the 14 countries. Very young respondents and old respondents are less financially literate, financial literacy score is positively related with income, education, and income stability.
Global consumers are experiencing the adverse effects of over-indebtedness, which impacts their well-being. This study article emphasises the significant repercussions experienced by consumers regarding their welfare due to over-indebtedness. A qualitative research approach was employed to identify a deliberate sample of five registered debt counsellors and financial planners. Semi-structured interviews were employed, and theme qualitative analysis was performed. The results indicate that excessive debt adversely affects consumer well-being and quality of life. Inadequate financial well-being was recognised as the primary catalyst that exacerbated other issues for over-indebted consumers, including deteriorated physical and mental health. Moreover, stress and stigmatisation have been identified as detrimental consequences stemming from financial hardships. This article demonstrates that financial debt is correlated with and adversely affects consumer physical and mental well-being, highlighting the necessity for immediate solutions, including enhanced financial education and more robust laws.
This study examines how first-generation immigrants in the United States plan for retirement, report income, and engage with the Social Security system. The analysis combines an original anonymous survey of 120 first-generation immigrants with descriptive, correlational, and illustrative aggregate evidence constructed from Social Security Administration, Census Bureau, and related institutional data for 2013–2023. The survey results show three consistent patterns. First, retirement knowledge is limited: most respondents do not understand how Social Security benefits are calculated, yet a large majority would attend retirement-planning workshops. Second, financial behavior is shaped by legal status and labor-market formality. Tax filing rates are high overall, but underreporting incentives are stronger among respondents paid in cash and among groups facing legal or administrative uncertainty. Third, family obligations materially affect long-term planning. Many respondents prioritize supporting relatives over retirement savings, and women report lower earnings despite comparable English proficiency and, in this sample, higher educational attainment. Over 2013–2023, Social Security program income and program cost rose alongside the immigrant population, but this aggregate exercise is illustrative only, is not causal, and cannot identify immigrants’ net fiscal impact on the system. The paper’s main contribution is therefore behavioral: it shows how limited knowledge, payment formality, and family obligations shape retirement planning within a non-representative regional sample of first-generation immigrants.
The research focus was on the link between Personal Financial Management (PFM) and employees' productivity in Botswana’s public sector because this particular aspect remains largely unattended despite being an important gap within African public sector management studies. The research was conducted at the Department of Social Protection and entailed applying a quantitative research paradigm with structured research interviews (n=73). Analysis shows that there was statistical significance with PFM only marginally expanding employees' productivity at 19.3% variance significance level. It was established that marital status and age were not significant factors or interests influencing PFM while education was established as an important predictor variable using multiple regression analysis. It was established that poor PFM practice translates to employees' stress caused by financial problems manifesting at workplaces indicated by employees' lack of focus and related absenteeism. The study proposes specific programs for employees' financial well-being at workplaces.
The study examined financial retirement planning of government employees in Tanzania: Moderating effect of financial decision behavior. The study applied a cross-sectional survey strategy, positivist paradigm and deductive approach. The study collected quantitative data through questionnaire from government employees working in different ministries within Dodoma region in Tanzania. The study examined whether the moderator moderates the relationship between independent variables (computation capability, financial knowledge, financial education and risk attitude towards financial products) and dependent variable (retirement planning). Data analysis was through Smart PLS-SEM path modelling. The study findings were that financial decision behavior had statistically significant positive moderating effect (p=0.013) on retirement planning. Moderating effect of financial decision behavior on the relationship between risk altitude towards financial products and retirement planning found to be a theoretical contribution of this study as it supports behavioral finance advocates who asserts that the theory of expected utility is an incomplete model since it lacks individual behavioral aspects. This study has incorporating a moderating variable financial decision behavior borrowed from the theory of planned behavior, which has indicated a significant moderating effect that has widened the explanatory power of the theory. This study offers pertinent insights for policy makers concerns on reviewing policy guidelines by government regulators and professional bodies, to advocate for employee’s savings and investment behavior, employees access to a range of financial products, regular training on financial products available in the financial market for better investment decision. Lastly, practitioners and academia can use the results of this study for future references.
The study investigates the relationship between financial literacy and savings among individuals in South Africa, utilising data from the National Income Dynamics Study. The theoretical framework highlights the importance of financial literacy, encompassing knowledge, behaviour, and attitudes towards financial planning. Empirical analysis using OLS, Logit, Probit, and Tobit models reveals a positive correlation between financial literacy and savings. Higher financial literacy levels are associated with increased savings propensity, with significant coefficients observed across various models. The findings underscore the critical role of financial education in enhancing savings behaviour, suggesting that improved financial literacy can lead to better financial outcomes and contribute to economic growth. The study’s results have policy implications, advocating for targeted financial literacy programmes to boost savings rates and support economic development in South Africa.
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 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |