Samuel-Soma M. Ajibade

55 papers receiving 443 citations

Peers

Samuel-Soma M. Ajibade
Comparison fields: 5 of 79
  • Health Informatics 25
  • Computer Science Applications 55
  • Health Information Management 35
  • Management Science and Operations Research 41
  • Artificial Intelligence 99
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Abdulaziz Aldoseri Qatar
Muhammad Ehsan Rana Malaysia
Karthikeyan Kaliyaperumal Ethiopia
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Christoph Schröer Germany
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Citations per year

Countries citing papers authored by Samuel-Soma M. Ajibade

Since Specialization
Citations

This map shows the geographic impact of Samuel-Soma M. Ajibade'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 Samuel-Soma M. Ajibade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel-Soma M. Ajibade more than expected).

Fields of papers citing papers by Samuel-Soma M. Ajibade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel-Soma M. Ajibade. 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 Samuel-Soma M. Ajibade. The network helps show where Samuel-Soma M. Ajibade may publish in the future.

Co-authors

The 25 scholars most cited alongside Samuel-Soma M. Ajibade, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Samuel-Soma M. Ajibade Line = papers co-authored together Samuel-Soma M. Ajibade links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202331
2 201931
3 201930
4 202324
5 202324
6 202222
7 202321
8 202219
9 202019
10 202417
11 202317
12 202213
13 202313
14 202413
15 202312
16 202210
17 20249
18 20239
19 20229
20 20226

About Samuel-Soma M. Ajibade

Samuel-Soma M. Ajibade is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Sociology and Political Science and Control and Systems Engineering, having authored 76 papers that have together received 456 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (7 papers), Evolutionary Algorithms and Applications (5 papers), Advanced Multi-Objective Optimization Algorithms (5 papers), Online Learning and Analytics (4 papers), Artificial Intelligence in Healthcare (3 papers), IoT and Edge/Fog Computing (3 papers), Impact of AI and Big Data on Business and Society (3 papers) and Technology Adoption and User Behaviour (3 papers). The work is most often cited by research in Health Informatics (25 citations), Computer Science Applications (55 citations), Health Information Management (35 citations), Management Science and Operations Research (41 citations) and Artificial Intelligence (99 citations). Samuel-Soma M. Ajibade has collaborated with scholars based in Malaysia, Nigeria and Türkiye. Frequent co-authors include Nor Bahiah Ahmad, Abdelhamid Zaïdi, Siti Mariyam Shamsuddin, Festus Víctor Bekun, Fazle Rabbi, Bright Akwasi Gyamfi, Muhammed Basheer Jasser, Muhammad Ayaz, Oluwadare Joshua Oyebode and Anazida Zainal. Their work appears in journals such as International Journal of Energy Economics and Policy, Digital Health, Intelligent Systems with Applications, Heliyon and Journal of King Saud University - Computer and Information Sciences.

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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