Hussein Samma

875 citations
40 papers · 627 · h-index 13

Impact in

Papers in

Hussein Samma

39 papers receiving 611 citations

Peers

Hussein Samma
Comparison fields: 5 of 88
  • Neurology 117
  • Computer Vision and Pattern Recognition 214
  • Artificial Intelligence 278
  • Computational Theory and Mathematics 77
  • Signal Processing 41
Replace Rajeswari Mandava with:
Rajeswari Mandava Malaysia
Belal Al‐Khateeb Iraq
Erkan Tanyıldızı Türkiye
Khaled H. Almotairi Saudi Arabia
Weiwei Zong United States
Tapas Si India
Yaqing Hou China
Yaser M. Wazery Egypt
Swarnajit Ray India
Indra Gupta India
Hussein Samma relative to Rajeswari Mandava Malaysia Rajeswari Mandava's profile →
Citations per field
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Rajeswari Mandava · 1×
Citations per year

Countries citing papers authored by Hussein Samma

Since Specialization
Citations

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

Fields of papers citing papers by Hussein Samma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hussein Samma. 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 Hussein Samma. The network helps show where Hussein Samma may publish in the future.

Co-authors

The 23 scholars most cited alongside Hussein Samma, 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 Hussein Samma Line = papers co-authored together Hussein Samma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016136
2 2022130
3 201945
4 202037
5 202136
6 202232
7 202128
8 201622
9 202217
10 201816
11 202314
12 202313
13 202313
14 202410
15 20207
16 20236
17 20236
18 20226
19 20136
20 20245

About Hussein Samma

Hussein Samma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Radiology, Nuclear Medicine and Imaging and Computational Theory and Mathematics, having authored 40 papers that have together received 627 indexed citations. Recurring topics across this work include Face recognition and analysis (8 papers), Metaheuristic Optimization Algorithms Research (8 papers), Face and Expression Recognition (7 papers), Advanced Neural Network Applications (6 papers), AI in cancer detection (5 papers), Evolutionary Algorithms and Applications (4 papers), COVID-19 diagnosis using AI (4 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). The work is most often cited by research in Neurology (117 citations), Computer Vision and Pattern Recognition (214 citations), Artificial Intelligence (278 citations), Computational Theory and Mathematics (77 citations) and Signal Processing (41 citations). Hussein Samma has collaborated with scholars based in Malaysia, Saudi Arabia and Yemen. Frequent co-authors include Junita Mohamad–Saleh, Chee Peng Lim, Shahrel Azmin Suandi, Nor Azman Ismail, Wadii Boulila, Adel Ammar, Abdel-Hamid M. Emara, Wael M. S. Yafooz, Tarik Adnan Almohamad and Sami El Ferik. Their work appears in journals such as Neural Computing and Applications, IEEE Access, Expert Systems with Applications, International Journal of Intelligent Systems and Multimedia Tools and Applications.

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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