Kunle Akingbola

673 total citations
27 papers, 429 citations indexed

About

Kunle Akingbola is a scholar working on Sociology and Political Science, Organizational Behavior and Human Resource Management and General Health Professions. According to data from OpenAlex, Kunle Akingbola has authored 27 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Sociology and Political Science, 10 papers in Organizational Behavior and Human Resource Management and 6 papers in General Health Professions. Recurrent topics in Kunle Akingbola's work include Nonprofit Sector and Volunteering (16 papers), Job Satisfaction and Organizational Behavior (8 papers) and COVID-19 Pandemic Impacts (3 papers). Kunle Akingbola is often cited by papers focused on Nonprofit Sector and Volunteering (16 papers), Job Satisfaction and Organizational Behavior (8 papers) and COVID-19 Pandemic Impacts (3 papers). Kunle Akingbola collaborates with scholars based in Canada, United States and United Kingdom. Kunle Akingbola's co-authors include Sean Edmund Rogers, Alina Baluch and Ian Cunningham and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Media Literacy Education and The International Journal of Human Resource Management.

In The Last Decade

Kunle Akingbola

25 papers receiving 408 citations

Peers

Kunle Akingbola
Comparison fields: 5 of 49
  • Sociology and Political Science 257
  • Organizational Behavior and Human Resource Management 221
  • Strategy and Management 95
  • General Health Professions 60
  • Demography 53
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Citations per field, relative to Kunle Akingbola
Kunle Akingbola · 1×
Citations per year, relative to Kunle Akingbola
Kunle Akingbola · 1×

Countries citing papers authored by Kunle Akingbola

Since Specialization
Citations

This map shows the geographic impact of Kunle Akingbola's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kunle Akingbola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunle Akingbola more than expected).

Fields of papers citing papers by Kunle Akingbola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kunle Akingbola. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kunle Akingbola. The network helps show where Kunle Akingbola may publish in the future.

Co-authorship network of co-authors of Kunle Akingbola

This figure shows the co-authorship network connecting the top 25 collaborators of Kunle Akingbola. A scholar is included among the top collaborators of Kunle Akingbola based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kunle Akingbola. Kunle Akingbola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 8
3 3
4 1
5 1
6 0
7 27
8 7
9 11
10 4
11 0
12 1
13 77
14 6
15 3
16 6
17 1
18
Learning and Knowledge Transfer in Volunteering: Exploring the Experience of Red Cross Volunteers
2
19 72
20 68

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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