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: 17 / 17 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.
15 / 17 with data · 2 missing or unmatched. Percentages use all 17 selected publications.
15 / 17 with data · 2 missing or unmatched. Percentages use all 17 selected publications.
17 / 17 with data · 0 missing or unmatched. Percentages use all 17 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 | 2 | 2 | 2/2 | 2/2 |
| 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 | 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 | 2 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 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 |
|---|---|---|---|---|---|
| 2014 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | 4 | 2 | 2/2 | 2/2 |
| 2016 | All selected publications | 0 | 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 | 1 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 5 | 4 | 4/4 | 4/4 |
| 2023 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 0 | 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 |
|---|---|---|---|---|---|
| 2014 | All selected publications | 4 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | 8 | 2 | 2/2 | 2/2 |
| 2016 | All selected publications | 0 | 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 | 5 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 9 | 4 | 4/4 | 4/4 |
| 2023 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 0 | 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 17 / 17 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): 2026-10-21T00:49:27.785379+00:00 — 2026-10-21T07:23:06.701511+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 | 17 | 17/17 |
| 2018 | All selected publications | 0 | 17 | 17/17 |
| 2019 | All selected publications | 1 | 17 | 17/17 |
| 2020 | All selected publications | 4 | 17 | 17/17 |
| 2021 | All selected publications | 4 | 17 | 17/17 |
| 2022 | All selected publications | 3 | 17 | 17/17 |
| 2023 | All selected publications | 3 | 17 | 17/17 |
| 2024 | All selected publications | 8 | 17 | 17/17 |
| 2025 | All selected publications | 3 | 17 | 17/17 |
| 2026 | All selected publications | 0 | 17 | 17/17 |
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 |
| 2015 | 2 |
| 2016 | 1 |
| 2019 | 2 |
| 2020 | 1 |
| 2022 | 4 |
| 2023 | 2 |
| 2024 | 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 Research in Business and Social Science SSBFNET | 17 | 14 | 30 | 17/17 | 0.82 | 1 | 58.8 | 17/17 · 100.0% |
* Percentage among publications with a known citation count.
Since Sub-Saharan Africa's first independence in Ghana, the region has experienced massive and costly political and bureaucratic corruption within public service and administration. The causes of the corruption, its nature and form are wide and intertwined. In Sub-Saharan Africa, efforts to curb corruption have failed to discard it. The paper focused on the period from Nkruma in Ghana to Mutharika the 2nd in Malawi. This paper reviewed existing literature on political and bureaucratic corruption in Sub-Saharan Africa while on the other hand the paper employed key informant interviews to gather the required data to investigate, analyse and profile the genesis and evolution of corruption in Sub-Saharan Africa. The key informant interviews were employed to solicit public views and opinion from nineteen key informant participants (n=19) selected from 11 countries in Sub-Saharan Africa. The paper found that corruption is legendary; has entrenched itself to becoming some sort of culture in the region, and has become the most difficult socio-economic challenge to resolve in the region despite the various anti-corruption efforts employed by stakeholders to curb it. It emerged through the study that law-enforcement efforts against corruption need some reinforcement in order to be effective and eficient in uprooting corruption in the region. If Sub-Saharan Africa fails to address its corruption challenge, its development prospects would seriously curtailed.
This study examines the effect of some economic and non-economic factors on corruption. It tests a number of hypotheses formulated around the impact of specific dimensions on increasing or reducing corruption in the Middle East and North Africa Region over a time series from 2008 to 2018. The objective of this study is to illuminate the impact of several independent factors (average income, economic freedom, education, income distribution and globalization) on corruption increase or decrease in the MENA region taking a few countries as a sample case. To reach this end, secondary data is employed and retrieved from secondary sources using published reports and indexes and official websites and databases maintained by various research institutions. The results are tested using panel data regression analysis as a statistical tool for data analysis and hypotheses testing. Findings indicate a significant effect of the presented economic and non-economic determinants on corruption in these sample countries except income distribution which shows an insignificance effect.
This paper tries to examine in detail political stability in the European Union’s (EU) countries during the period 2002-12. Firstly, it examines the causality relationship between political stability and economic growth, which is an issue that has puzzled scholars for decades. Using the Granger causality test the empirical findings suggest that in the case of the EU’s countries, causality is one directional, moving from political stability to economic growth. Secondly, it examines the factors that affect political stability. Using the fixed effects panel data model, we may suggest that the long term recession, the increased unemployment ratios and the high levels of inflation significantly threaten political stability. However, there are other factors that are not exclusively due to economics, such as transparency, public health care, education etc., which may significantly reduce the previously mentioned consequences. Finally, this study suggests some reforms of the EU’s regulation according to the migration policy that may smooth social and humanitarian disparities.
Corruption remains a prominent institutional barrier that hampers foreign direct investment (FDI) inflow in developing countries. However, the specific impact of corruption on FDI inflows in Tanzania remains largely unexplored. This research aims to contribute to the existing body of knowledge by examining the consequences of corruption on FDI inflows in Tanzania between 1996 and 2021. The analysis utilizes time series institutional data obtained from the World Bank governance indicators and FDI inflow data from the Bank of Tanzania (BOT). Given the consideration of multiple variables, a multiple regression model is employed to analyze the data. Unit root tests such as the expanded Dickey-Fuller and Johansen cointegration tests are utilised to assess whether the variables are cointegrated and whether the data exhibits stationarity or nonstationarity. The findings of this study unequivocally demonstrate that corruption (CC) has a significant adverse effect on both short-term and long-term FDI inflows. The data from 1996 to 2021 consistently indicate a noteworthy influence of corruption (CC) on FDI inflows. Consequently, this research recommends concerted efforts to combat corruption in order to improve the investment climate and attract foreign investors.
The objective of the study was to explore alleged corrupt practices of stock theft by public sector officials in the selected rural areas of Giyani in the Limpopo Province, South Africa, focusing on causes and experiences. The local South African Police Service (SAPS) and Department of Justice and Constitutional Development: Giyani Magistrates’ Court (DOJ & CD: GMC) officials are allegedly touted to be allegedly involved in corrupt and fraudulent activities relating to this crime. From a qualitative standpoint; this study purposively selected 64 participants to form part of Focus Group Discussions (FGDs) and Key Informant Interviews (KIIs) for data collection based on their respective knowledge and exposure to this crime. The collected data was analyzed to reach structured, reliable and conclusions adopting the Tesch technique. Major findings of this study indicate that the local SAPS and DoJ & CD: GMC were implicated in corruption acts, it is established that limited wages, greediness, profit and power, opportunity, as well as inadequate training, poor hiring practices and failure to adhere to a code of ethics are some of the notable causes of police corruption on stock theft cases. The improvement in legislation, punitive methods, remunerations, political partisanship, and the use of anti-corrupt strategies are cited as some recommendations in this study. Moreover, relevant stakeholders should work closely with provincial structures at rural communal levels, while avoiding a silo mentality to enhance collective actions thereof.
Lifestyle audits are the best method to combat corruption in both the private and public spheres. A lifestyle audit is conducted if a red flag is raised in relation to corruption. Any sudden change in an individual’s lifestyle raises a red flag. However, this type of crime is common among mostly the powerful top officials of organisations, companies or institutions. This paper reviews the use of lifestyle audits as a tool to combat corruption. The researcher adopted a non-empirical research design and followed the predetermined steps properly. Furthermore, merely the literature sources and observations used for arguments and integration purposes with intent to solve the problems identified. Again, the researcher examined some solved corruption cases published in the Auditor General’s report, reported on in newspapers and discussed on social media platforms. To add this, the observation of the published corruption cases used as the examples in this article. The findings of this article suggest that lifestyle auditor or analysts or crime investigators must conduct the lifestyle audit by following the legal proper procedures to avoid the blunders in audit the lifestyle of the offender or suspect. This article concludes by making recommendations of the lifestyle audit needs more auditing and financial investigation skills that are of more advanced.
Effective border management is fundamental to protecting national sovereignty, safeguarding citizens, and preventing the infiltration of organised criminal networks. In South Africa, the South African Police Service (SAPS) is entrusted with law enforcement at border posts. However, recurring incidents of corruption among SAPS officials often involving collusion with criminal syndicates have rendered several border posts, including Beitbridge, weak and porous. This study evaluates SAPS border officials’ corruption and its security implications at the Beitbridge border post in Limpopo Province. The objectives are to investigate the nature and forms of corruption involving SAPS officials, examine the socio-economic and security-related impacts, assess the effectiveness of current anti-corruption mechanisms, and propose evidence-based recommendations to enhance accountability and transparency. The study employs a qualitative research approach grounded in the interpretivist paradigm and adopts a case study design centred on Beitbridge. Data were gathered through in-depth document analysis, encompassing 45 key documents such as official reports, policy frameworks, and media investigations, considered sufficient for achieving qualitative rigour and thematic saturation. The Broken Windows Theory is applied to explain how tolerance of minor misconduct escalates into systemic corruption and institutional decay. Findings reveal that entrenched corruption undermines law enforcement integrity, facilitates organised criminal activity, and compromises national border security. The study concludes that strengthening institutional oversight, reinforcing accountability structures, and promoting inter-agency cooperation are vital for curbing corruption and enhancing border management effectiveness. The study’s novelty lies in its focused examination of Beitbridge and its application of the Broken Windows Theory to border corruption within the South African context.
There is a dichotomy between the conventional theoretical view, which postulates that increased quality of governance stimulates economic growth and advances private capital formation. This study investigates the impact of governance quality and government expenditure on economic growth in the Southern African Development Community (SADC) region. The study applied the Pooled Mean Group and Autoregressive Distributed Lag (PMG-ARDL) model. The annual panel covers the period 2002 – 2023, which comprises five selected countries from the SADC member states. The data set was obtained from the World Bank World Governance Indicators (WBWGI) databases. In the short run, economic growth was linked to government expenditure. In the long run, technical governance quality variables bring participants into action or service through control of corruption and the rule of law. The technical governance quality variables contribute to economic growth and are positive in the long run. At the same time, democratic governance quality variables influence economic growth negatively. However, it was highlighted that a permanent increase in country government expenditure could be experienced due to continuous randomness. The study revealed that weak governance and unstable government expenditure deteriorate economic growth complexity. Henceforth, this study has also enhanced the governance quality and government expenditure theories and empirical literature concerning economic growth by exposing that the governance quality of the selected SADC countries endures commotion. This study recommends that achieving selected SADC growth can be possible by balancing the technical governance quality variables and abating the democratic governance quality variables. Thus, the study contributes by outlining the golden thread that national and international policies should be prioritized in control of corruption and endorse governance effectiveness, regulatory quality, the rule of law, and managing expenditure within the threshold level.
Political interference has been one of the leading factors in inhibiting state-owned entities reach their mandates. Through political patronage, political elites are the gateway to the SOE's thus impacting the efficacy of most state-owned entities. In this regard, South African Airways (SAA) is also one of the entities in the grip of corruption due to political patronage. Therefore, this political patronage has been the difference between the efficacy of SAA in executing its mandate. SAA has been taking center stage due to corruption, maladministration, and failure to execute its mandate as a result of political interference as well as patronage. This paper reviews existing literature on the effect of political patronage on the efficacy of SAA in executing its mandate. In doing so, the paper employed qualitative techniques. Document analysis was utilized to understand the effect of political patronage on SAA's ability to execute its mandate. Eventually, the paper discovered that political patronage affects the ability of SAA to execute its mandate. The paper then closes by making recommending mechanisms for inhibiting political interference in SOE most specifically SAA.
Corruption remains a prominent institutional barrier that hampers foreign direct investment (FDI) inflow in developing countries. However, the specific impact of corruption on FDI inflows in Tanzania remains largely unexplored. This research aims to contribute to the existing body of knowledge by examining the consequences of corruption on FDI inflows in Tanzania between 1996 and 2021. The analysis utilizes time series institutional data obtained from the World Bank governance indicators and FDI inflow data from the Bank of Tanzania (BOT). Given the consideration of multiple variables, a multiple regression model is employed to analyze the data. Unit root tests such as the expanded Dickey-Fuller and Johansen cointegration tests are utilised to assess whether the variables are cointegrated and whether the data exhibits stationarity or nonstationarity. The findings of this study unequivocally demonstrate that corruption (CC) has a significant adverse effect on both short-term and long-term FDI inflows. The data from 1996 to 2021 consistently indicate a noteworthy influence of corruption (CC) on FDI inflows. Consequently, this research recommends concerted efforts to combat corruption in order to improve the investment climate and attract foreign investors.
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 |