Emmanuel Gbenga Dada
- Information Systems top 2%
- Artificial Intelligence top 5%
- AI in cancer detection 4
- Metaheuristic Optimization Algorithms Research 4
- Imbalanced Data Classification Techniques 3
- Machine Learning in Healthcare 3
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- Artificial Intelligence in Healthcare 6
- Signal Processing top 10%
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- Network Security and Intrusion Detection 3
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- Stock Market Forecasting Methods 4
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- COVID-19 diagnosis using AI 3
- Co-authors
- David Opeoluwa OyewolaJoseph Stephen BassiShafi’i Muhammad AbdulhamidHaruna ChiromaAdebayọ Olusọla AdetunmbiSanjay MisraRobertas DamaševičiusAfeez Abidemi
- Journals
- SHILAP Revista de lepidopterología (9 papers)IEEE Access (1 paper)ACM Computing Surveys (1 paper)
- Partner nations
- NigeriaUnited StatesNorway
In The Last Decade
Emmanuel Gbenga Dada
47 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Information Systems 292
- Artificial Intelligence 415
- Health Information Management 57
- Signal Processing 97
- Computer Networks and Communications 206
Countries citing papers authored by Emmanuel Gbenga Dada
This map shows the geographic impact of Emmanuel Gbenga Dada'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 Emmanuel Gbenga Dada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanuel Gbenga Dada more than expected).
Fields of papers citing papers by Emmanuel Gbenga Dada
This network shows the impact of papers produced by Emmanuel Gbenga Dada. 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 Emmanuel Gbenga Dada. The network helps show where Emmanuel Gbenga Dada may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Emmanuel Gbenga Dada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 10 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 8 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 4 | |
| 9 | 2022 | 98 | |
| 10 | 2022 | 7 | |
| 11 | Metaheuristic algorithms for PID controller parameters tuning: review, approaches and open problemsbreakdown → | 2022 | 212 |
| 12 | 2021 | 3 | |
| 13 | 2021 | 18 | |
| 14 | PERFORMANCE COMPARISON OF COMPUTER-BASED TEST AND PAPER-PENCIL TEST USING SUPPORT VECTOR MACHINE | 2020 | 0 |
| 15 | 2019 | 12 | |
| 16 | Machine learning for email spam filtering: review, approaches and open research problemsbreakdown → | 2019 | 316 |
| 17 | Performance Comparison of Machine Learning Techniques for Breast Cancer Detection | 2018 | 14 |
| 18 | PROPORTIONAL-INTEGRAL-DERIVATIVE (PID) CONTROLLER TUNING FOR AN INVERTED PENDULUM USING PARTICLE SWARM OPTIMISATION (PSO) ALGORITHM | 2018 | 3 |
| 19 | 2018 | 5 | |
| 20 | An Investigation into the Effectiveness of Machine Learning Techniques for Intrusion Detection | 2017 | 1 |
About Emmanuel Gbenga Dada
Emmanuel Gbenga Dada is a scholar working on Health Information Management, Artificial Intelligence and Medical Laboratory Technology, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (6 papers), Stock Market Forecasting Methods (4 papers), AI in cancer detection (4 papers), Metaheuristic Optimization Algorithms Research (4 papers), Network Security and Intrusion Detection (3 papers), Imbalanced Data Classification Techniques (3 papers), COVID-19 diagnosis using AI (3 papers) and Machine Learning in Healthcare (3 papers). The work is most often cited by research in Information Systems (292 citations), Artificial Intelligence (415 citations) and Health Information Management (57 citations). Emmanuel Gbenga Dada has collaborated with scholars based in Nigeria, United States and Norway. Frequent co-authors include David Opeoluwa Oyewola, Joseph Stephen Bassi, Shafi’i Muhammad Abdulhamid, Haruna Chiroma, Adebayọ Olusọla Adetunmbi, Sanjay Misra, Robertas Damaševičius, Afeez Abidemi, Ban Mohammed Khammas and Olugbenga Oluwagbemi. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and ACM Computing Surveys.
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.