Imo Eyoh
Impact in
- Statistics and Probability top 5%
- Fuzzy Systems and Optimization
- Ocean Engineering top 5%
- Drilling and Well Engineering
Papers in
-
- Fuzzy Logic and Control Systems 17
- Neural Networks and Applications 12
-
- Fuzzy Systems and Optimization 13
- Co-authors
- Robert John (8 shared papers)Geert De Maere (7 shared papers)Udoinyang G. Inyang (6 shared papers)Erdal Kayacan (1 shared paper)Moses E. Ekpenyong (2 shared papers)Daniel Asuquo (4 shared papers)Okorie Ekwe Agwu (2 shared papers)Julius U. Akpabio (2 shared papers)
- Journals
- IEEE Transactions on Fuzzy Systems (3 papers)Journal of Natural Gas Science and Engineering (1 paper)Solid State Technology (1 paper)International Journal of Fuzzy Systems (1 paper)Journal of Petroleum Science and Engineering (1 paper)
- Partner nations
- NigeriaUnited KingdomSouth Africa
In The Last Decade
Imo Eyoh
27 papers receiving 389 citations
Peers
Comparison fields: 5 of 77
- Statistics and Probability 73
- Ocean Engineering 114
- Management Science and Operations Research 74
- Artificial Intelligence 178
- Software 13
Countries citing papers authored by Imo Eyoh
This map shows the geographic impact of Imo Eyoh'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 Imo Eyoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Imo Eyoh more than expected).
Fields of papers citing papers by Imo Eyoh
This network shows the impact of papers produced by Imo Eyoh. 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 Imo Eyoh. The network helps show where Imo Eyoh may publish in the future.
Co-authors
The 18 scholars most cited alongside Imo Eyoh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 85 | |
| 2 | 2021 | 85 | |
| 3 | 2021 | 55 | |
| 4 | 2017 | 41 | |
| 5 | 2016 | 26 | |
| 6 | 2017 | 20 | |
| 7 | 2022 | 10 | |
| 8 | 2023 | 9 | |
| 9 | 2019 | 9 | |
| 10 | 2017 | 9 | |
| 11 | 2020 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2018 | 7 | |
| 14 | 2021 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2020 | 3 | |
| 17 | 2021 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2016 | 2 |
About Imo Eyoh
Imo Eyoh is a scholar working on Artificial Intelligence, Statistics and Probability, Management Science and Operations Research, Information Systems and Computer Networks and Communications, having authored 30 papers that have together received 398 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (17 papers), Fuzzy Systems and Optimization (13 papers), Neural Networks and Applications (12 papers), Multi-Criteria Decision Making (3 papers), Stock Market Forecasting Methods (3 papers), Software System Performance and Reliability (2 papers), Drilling and Well Engineering (2 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Statistics and Probability (73 citations), Ocean Engineering (114 citations), Management Science and Operations Research (74 citations), Artificial Intelligence (178 citations) and Software (13 citations). Imo Eyoh has collaborated with scholars based in Nigeria, United Kingdom and South Africa. Frequent co-authors include Robert John, Geert De Maere, Udoinyang G. Inyang, Erdal Kayacan, Moses E. Ekpenyong, Daniel Asuquo, Okorie Ekwe Agwu, Julius U. Akpabio, Jerry M. Mendel and Paul Augustine Ejegwa. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, Journal of Natural Gas Science and Engineering, Solid State Technology, International Journal of Fuzzy Systems and Journal of Petroleum Science and Engineering.
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.