Eyad Elyan
Impact in
- Health Informatics top 2%
-
- Handwritten Text Recognition Techniques
- Digital Media Forensic Detection
Papers in
-
- Handwritten Text Recognition Techniques 11
- Image Processing and 3D Reconstruction 10
- Digital Media Forensic Detection 8
- Face recognition and analysis 8
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- Imbalanced Data Classification Techniques 10
- Machine Learning and Data Classification 10
- Anomaly Detection Techniques and Applications 8
- Co-authors
- Mohamed Medhat Gaber (12 shared papers)Chrisina Jayne (19 shared papers)Pattaramon Vuttipittayamongkol (10 shared papers)Khaled Fawagreh (4 shared papers)Ahmed Hussein (5 shared papers)Carlos Francisco Moreno‐García (24 shared papers)Andrei Petrovski (2 shared papers)John P. Isaacs (5 shared papers)
- Journals
- Neural Computing and Applications (5 papers)Cognitive Computation (4 papers)Sensors (3 papers)Information Fusion (2 papers)IEEE Access (2 papers)
- Partner nations
- United KingdomThailandAustralia
In The Last Decade
Eyad Elyan
89 papers receiving 3.4k citations
Eyad Elyan's Hit Papers
Peers
Comparison fields: 5 of 190
- Health Informatics 73
- Computer Vision and Pattern Recognition 934
- Artificial Intelligence 1.4k
- Health Information Management 151
- Media Technology 177
Countries citing papers authored by Eyad Elyan
This map shows the geographic impact of Eyad Elyan'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 Eyad Elyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eyad Elyan more than expected).
Fields of papers citing papers by Eyad Elyan
This network shows the impact of papers produced by Eyad Elyan. 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 Eyad Elyan. The network helps show where Eyad Elyan may publish in the future.
Co-authors
The 25 scholars most cited alongside Eyad Elyan, 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 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Imitation Learning Hit paper breakdown → | 2017 | 655 |
| 2 | Random forests: from early developments to recent advancements Hit paper breakdown → | 2014 | 561 |
| 3 | 2019 | 231 | |
| 4 | 2020 | 191 | |
| 5 | 2019 | 145 | |
| 6 | 2021 | 100 | |
| 7 | 2022 | 98 | |
| 8 | 2018 | 91 | |
| 9 | 2019 | 85 | |
| 10 | 2020 | 79 | |
| 11 | 2023 | 78 | |
| 12 | 2016 | 73 | |
| 13 | 2020 | 71 | |
| 14 | DICAM: Deep Inception and Channel-wise Attention Modules for underwater image enhancement Hit paper breakdown → | 2024 | 63 |
| 15 | 2020 | 60 | |
| 16 | 2018 | 52 | |
| 17 | 2019 | 44 | |
| 18 | 2021 | 38 | |
| 19 | 2017 | 38 | |
| 20 | 2022 | 37 |
About Eyad Elyan
Eyad Elyan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging and Signal Processing, having authored 95 papers that have together received 3.5k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (11 papers), Image Processing and 3D Reconstruction (10 papers), Imbalanced Data Classification Techniques (10 papers), Machine Learning and Data Classification (10 papers), Electricity Theft Detection Techniques (9 papers), Digital Media Forensic Detection (8 papers), Anomaly Detection Techniques and Applications (8 papers) and Face recognition and analysis (8 papers). The work is most often cited by research in Health Informatics (73 citations), Computer Vision and Pattern Recognition (934 citations), Artificial Intelligence (1.4k citations), Health Information Management (151 citations) and Media Technology (177 citations). Eyad Elyan has collaborated with scholars based in United Kingdom, Thailand and Australia. Frequent co-authors include Mohamed Medhat Gaber, Chrisina Jayne, Pattaramon Vuttipittayamongkol, Khaled Fawagreh, Ahmed Hussein, Carlos Francisco Moreno‐García, Andrei Petrovski, John P. Isaacs, Jinchang Ren and Roland S. Croner. Their work appears in journals such as Neural Computing and Applications, Cognitive Computation, Sensors, Information Fusion and IEEE Access.
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.