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: 6 / 6 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 13:28 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 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 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 |
|---|---|---|---|---|---|
| 2013 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2014 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2015 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 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 | 1 | 1 | 1/1 | 1/1 |
| 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 | 0 | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2026 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2013 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| 2014 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | — | 0 | 0/0 | 0/0 |
| 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 | 1 | 1 | 1/1 | 1/1 |
| 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 | 0/0 | 0/0 |
| 2025 | All selected publications | 4 | 2 | 2/2 | 2/2 |
| 2026 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2013 | All selected publications | 4 | 2 | 2/2 | 2/2 |
| 2014 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | — | 0 | 0/0 | 0/0 |
| 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 | 2 | 1 | 1/1 | 1/1 |
| 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 | 0/0 | 0/0 |
| 2025 | All selected publications | 3 | 2 | 2/2 | 2/2 |
| 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 6 / 6 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): 2026-10-21T07:23:00.717726+00:00 — 2026-10-22T13:28:58.414463+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 | 6 | 6/6 |
| 2018 | All selected publications | 0 | 6 | 6/6 |
| 2019 | All selected publications | 0 | 6 | 6/6 |
| 2020 | All selected publications | 1 | 6 | 6/6 |
| 2021 | All selected publications | 0 | 6 | 6/6 |
| 2022 | All selected publications | 0 | 6 | 6/6 |
| 2023 | All selected publications | 0 | 6 | 6/6 |
| 2024 | All selected publications | 3 | 6 | 6/6 |
| 2025 | All selected publications | 0 | 6 | 6/6 |
| 2026 | All selected publications | 3 | 6 | 6/6 |
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 |
|---|---|
| 2013 | 2 |
| 2020 | 1 |
| 2025 | 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 Business Ecosystem & Strategy Bussecon International Academy | 2 | 1 | 2 | 2/2 | 0.5 | 0.5 | 50.0 | 2/2 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 2 | 0 | 4 | 2/2 | 0.0 | 0.0 | 0.0 | 2/2 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 2 | 4 | 3 | 2/2 | 2.0 | 2.0 | 100.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
The research issue centers on examining the solvency of urban municipalities in Nepal, focusing on their ability to meet long-term financial obligations. The main aim of the study is to assess the financial condition of municipalities in the context of Nepal. A descriptive research design was employed to assess the financial condition of municipalities. The study targeted only the urban municipalities of Nepal. The study comprises two years of data from 2019/20 and 2020/21. The sample consisted of 37 urban municipalities representing different types in different geographical locations representing all seven provinces and all ecological zones in Nepal. The analysis of the financial condition of local urban governments in Nepal across two fiscal years (2019/20 and 2020/21) reveals no significant differences in LGFCI based on municipal type (f(2,72)=0.166, p>0.05) or ecological zone (f(2,72)=0.229, p>0.05). In FY 2019/20, 5 local governments were classified as having a good financial condition, 25 as average, and 7 as poor. In FY 2020/21, the numbers dropped to 3 in good condition, 29 in average, and 5 in poor condition. There was limited movement in financial status between the two years, with 7 local governments shifting, and most remained in the average category. This suggests a need for improved financial management in local governments. In conclusion, the financial condition of local urban governments in Nepal, based on LGFCI, shows no significant difference by municipal type or ecological zone. Most local governments are classified as having an average financial condition, with only a few in good or poor financial status. Over the two fiscal years, few local governments showed changes in their financial status, highlighting the need for better financial management practices to improve stability. The results have policy implications for strengthening fiscal federalism in Nepal.
This study investigates the effects of revenue enhancement plans (REPs) on revenue collection performance in Tanzanian local government authorities (LGAs), focusing on Mwanza City Council, Manyara Urban Council, and Mbeya City Council. The research adopts a mixed approach, collecting data from 400 respondents using a multistage sampling technique. The data were analyzed using a multivariate ordered probit model. The results reveal that reducing revenue leakage and improving revenue forecasting accuracy significantly enhance revenue collection performance. Specifically, the coefficient for revenue leakage was -1.221 for effectiveness (p<0.01) and -1.59 for increment (p<0.01), indicating a strong negative impact on performance. In contrast, accurate revenue forecasting positively impacted effectiveness (1.390, p<0.01) and increment (0.516, p<0.01). The model also showed that high implementation costs negatively impacted revenue growth (increment: -1.634, p<0.05). Compliance was found to positively influence reliability (1.533, p<0.01) and efficiency (1.029, p<0.01), underlining the importance of adherence to regulations. The results also highlighted the need for cost management strategies, as implementation costs and leakages hinder revenue growth and efficiency. The study recommends policy measures such as adopting digital solutions to reduce revenue leakages, investing in forecasting tools, and strengthening compliance mechanisms to optimize revenue collection and improve financial sustainability.
The purpose of this study is to examine the impact of the financial risks local governments are exposed to within the scope of financial risk management practices. Istanbul Metropolitan Municipality (IMM) was selected for this study because it is the largest local government with the highest budget. In the study, the development of financial risk performance of IMM between the years 2008-2018 was examined in the light of the risks IMM is exposed to. The main results regarding the risks faced by IMM during the period are as follows: Financial data obtained from the financial statements of IMM were used to examine the performance of listed risks& effects they have on the budget of IMM. The results indicate that (i) risk of dependence on shares from the central budget revenue; (ii) IMM was directly dependent on the central budget in terms of revenues, so in this period, the risk of dependency was high in terms of counterparty risk.
This study investigates the environmental conservation costs of the local authorities in Kenya by analyzing the data collected from 90 of these local authorities. The population of the study is the 175 local authorities in Kenya. A sample of 90 local authorities has been used. Both statistical package for social sciences (SPSS) version 17 and Excel have been used to determine the level of environmental conservation costs in the studied local authorities. The results indicated that there was a wide use of environmental conservation costs among the local authorities. The study provides preliminary evidence on environmental conservation costs used by local authorities in Kenya. Further research is suggested to explore the possible motivating factors among different local authorities’ degree of application and level of environmental costs in different activities.
Nowadays the role of local governments is bigger than ever considering the central authority in Turkey. Especially, one can observe that the municipalities’ tasks are depended on their financial structures. In this study the financial resources of Turkish municipalities are evaluated. The obtained findings illustrate that the municipalities have three different financial resources and these resources might be sufficient to make their activities.
The reduction in rural marginalization of infrastructure in Africa has been achieved through the wide diffusion of the so-called fiscal deviation. According to New Institutional Economics, the provision of public resourcing at the local level is more economic since it meets the geographic specificity of infrastructure provisions. However, when intergovernmental fiscal transfers are towards rural road provision, it is majorly because of several structural impediments, that the corrected road will not be realized. This systematic review of literature with regards to devolution and infra-structure provision has laid emphasis on going beyond overly simplistic input-output models to explore the multiple filters regulating decentralized public works. The focus here is on institutional capacity as a crucial explanatory factor and the way deficits in technical engineering, equipment maintenance, and procurement governance conspire to undermine the potency of devolved funding. Moreover, the study discusses the moderating effects in the face of instability in the broader economy, illustrating how hyper-inflation and currency depreciation can deplete real infrastructure funds purchasing power and result in the erosion of the contractor attrition as observed. Finally, the review has identified systemic barriers, such as climate vulnerability and ministerial red-tape friction. The synthesis of empirical literature from 2010 to 2024 suggests that fiscal decentralisation without a built institutional capacity and insulated mechanisms against macroeconomic turbulence cannot deliver in the long run.
The research issue centers on examining the solvency of urban municipalities in Nepal, focusing on their ability to meet long-term financial obligations. The main aim of the study is to assess the financial condition of municipalities in the context of Nepal. A descriptive research design was employed to assess the financial condition of municipalities. The study targeted only the urban municipalities of Nepal. The study comprises two years of data from 2019/20 and 2020/21. The sample consisted of 37 urban municipalities representing different types in different geographical locations representing all seven provinces and all ecological zones in Nepal. The analysis of the financial condition of local urban governments in Nepal across two fiscal years (2019/20 and 2020/21) reveals no significant differences in LGFCI based on municipal type (f(2,72)=0.166, p>0.05) or ecological zone (f(2,72)=0.229, p>0.05). In FY 2019/20, 5 local governments were classified as having a good financial condition, 25 as average, and 7 as poor. In FY 2020/21, the numbers dropped to 3 in good condition, 29 in average, and 5 in poor condition. There was limited movement in financial status between the two years, with 7 local governments shifting, and most remained in the average category. This suggests a need for improved financial management in local governments. In conclusion, the financial condition of local urban governments in Nepal, based on LGFCI, shows no significant difference by municipal type or ecological zone. Most local governments are classified as having an average financial condition, with only a few in good or poor financial status. Over the two fiscal years, few local governments showed changes in their financial status, highlighting the need for better financial management practices to improve stability. The results have policy implications for strengthening fiscal federalism in Nepal.
This study investigates the effects of revenue enhancement plans (REPs) on revenue collection performance in Tanzanian local government authorities (LGAs), focusing on Mwanza City Council, Manyara Urban Council, and Mbeya City Council. The research adopts a mixed approach, collecting data from 400 respondents using a multistage sampling technique. The data were analyzed using a multivariate ordered probit model. The results reveal that reducing revenue leakage and improving revenue forecasting accuracy significantly enhance revenue collection performance. Specifically, the coefficient for revenue leakage was -1.221 for effectiveness (p<0.01) and -1.59 for increment (p<0.01), indicating a strong negative impact on performance. In contrast, accurate revenue forecasting positively impacted effectiveness (1.390, p<0.01) and increment (0.516, p<0.01). The model also showed that high implementation costs negatively impacted revenue growth (increment: -1.634, p<0.05). Compliance was found to positively influence reliability (1.533, p<0.01) and efficiency (1.029, p<0.01), underlining the importance of adherence to regulations. The results also highlighted the need for cost management strategies, as implementation costs and leakages hinder revenue growth and efficiency. The study recommends policy measures such as adopting digital solutions to reduce revenue leakages, investing in forecasting tools, and strengthening compliance mechanisms to optimize revenue collection and improve financial sustainability.
The purpose of this study is to examine the impact of the financial risks local governments are exposed to within the scope of financial risk management practices. Istanbul Metropolitan Municipality (IMM) was selected for this study because it is the largest local government with the highest budget. In the study, the development of financial risk performance of IMM between the years 2008-2018 was examined in the light of the risks IMM is exposed to. The main results regarding the risks faced by IMM during the period are as follows: Financial data obtained from the financial statements of IMM were used to examine the performance of listed risks& effects they have on the budget of IMM. The results indicate that (i) risk of dependence on shares from the central budget revenue; (ii) IMM was directly dependent on the central budget in terms of revenues, so in this period, the risk of dependency was high in terms of counterparty risk.
This study investigates the environmental conservation costs of the local authorities in Kenya by analyzing the data collected from 90 of these local authorities. The population of the study is the 175 local authorities in Kenya. A sample of 90 local authorities has been used. Both statistical package for social sciences (SPSS) version 17 and Excel have been used to determine the level of environmental conservation costs in the studied local authorities. The results indicated that there was a wide use of environmental conservation costs among the local authorities. The study provides preliminary evidence on environmental conservation costs used by local authorities in Kenya. Further research is suggested to explore the possible motivating factors among different local authorities’ degree of application and level of environmental costs in different activities.
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 |