Mohammad Shehab

49 papers receiving 2.1k citations

Mohammad Shehab's Hit Papers

Machine learning in medical applications: A review of state-of-the-art methods 2022 · 304 citations
3040+2+4Years since publication100200300

Peers

Mohammad Shehab
Comparison fields: 5 of 167
  • Artificial Intelligence 1.1k
  • Health Informatics 39
  • Computational Theory and Mathematics 331
  • Energy Engineering and Power Technology 48
  • Health Information Management 66
Replace Raed Abu Zitar with:
Raed Abu Zitar Jordan
Iyad Abu Doush Jordan
Zaid Abdi Alkareem Alyasseri Iraq
Qasem Al-Tashi Malaysia
Lalit Kumar Awasthi India
Mostafa A. Elhosseini Egypt
Adam Słowik Poland
Hamza Turabieh Saudi Arabia
Mohammed A. Awadallah Jordan
Osama Ahmad Alomari Jordan
Mohammad Shehab relative to Raed Abu Zitar Jordan Raed Abu Zitar's profile →
Citations per field
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Raed Abu Zitar · 1×
Citations per year

Countries citing papers authored by Mohammad Shehab

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Shehab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mohammad Shehab, 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 Mohammad Shehab Line = papers co-authored together Mohammad Shehab links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Salp swarm algorithm: a comprehensive survey
Hit paper breakdown →
2019316
2
Machine learning in medical applications: A review of state-of-the-art methods
Hit paper breakdown →
2022304
3
Moth–flame optimization algorithm: variants and applications
Hit paper breakdown →
2019226
4 2017213
5 2020156
6 202279
7 202274
8 201864
9 202063
10 202261
11 202158
12 201957
13 201949
14 202038
15 201733
16 202233
17 202231
18 202031
19 201924
20 202222

About Mohammad Shehab

Mohammad Shehab is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 60 papers that have together received 2.2k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (31 papers), Advanced Multi-Objective Optimization Algorithms (13 papers), Evolutionary Algorithms and Applications (8 papers), Vehicle License Plate Recognition (4 papers), Robotic Path Planning Algorithms (4 papers), Handwritten Text Recognition Techniques (4 papers), COVID-19 diagnosis using AI (3 papers) and Advanced MRI Techniques and Applications (3 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Health Informatics (39 citations), Computational Theory and Mathematics (331 citations), Energy Engineering and Power Technology (48 citations) and Health Information Management (66 citations). Mohammad Shehab has collaborated with scholars based in Jordan, Saudi Arabia and Malaysia. Frequent co-authors include Laith Abualigah, Mohammad Alshinwan, Hamzeh Alabool, Ahamad Tajudin Khader, Mohammed Azmi Al‐Betar, Mohd Khaled Yousef Shambour, Ahmad M. Khasawneh, Muhannad A. Abu‐Hashem, Mohamed Abd Elaziz and Ahmed Izzat Alsalibi. Their work appears in journals such as Archives of Computational Methods in Engineering, Neural Computing and Applications, Engineering With Computers, International Journal of Bio-Inspired Computation 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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