Muhammad Umar

564 citations
19 papers · 458 · h-index 8

Impact in

Papers in

Muhammad Umar

18 papers receiving 450 citations

Peers

Muhammad Umar
Comparison fields: 5 of 79
  • Modeling and Simulation 189
  • Numerical Analysis 64
  • Statistical and Nonlinear Physics 56
  • Artificial Intelligence 97
  • Hardware and Architecture 19
Replace Corrado Possieri with:
Corrado Possieri Italy
Krzysztof J. Latawiec Poland
Yolanda Guerrero–Sánchez Spain
Iftikhar Ahmad Pakistan
S.P. Banks United Kingdom
Wei Ding United States
Rafał Stanisławski Poland
Nabeela Anwar Pakistan
Milan R. Rapaić Serbia
Shubo Chen China
Muhammad Umar relative to Corrado Possieri Italy Corrado Possieri's profile →
Citations per field
00.5×4.8×
Corrado Possieri · 1×
Citations per year

Countries citing papers authored by Muhammad Umar

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Umar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2020157
2 2019140
3 202337
4 202132
5 202128
6 202217
7 202216
8 20227
9 20235
10 20095
11 20245
12 20232
13 20252
14 20251
15 20231
16 20251
17 20241
18 20251
19 20250

About Muhammad Umar

Muhammad Umar is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Hardware and Architecture and Public Health, Environmental and Occupational Health, having authored 19 papers that have together received 458 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (5 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), Hydrological Forecasting Using AI (2 papers), Radiation Effects in Electronics (2 papers), Machine Learning and ELM (2 papers), Parallel Computing and Optimization Techniques (2 papers), Security and Verification in Computing (2 papers) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Modeling and Simulation (189 citations), Numerical Analysis (64 citations), Statistical and Nonlinear Physics (56 citations), Artificial Intelligence (97 citations) and Hardware and Architecture (19 citations). Muhammad Umar has collaborated with scholars based in Pakistan, Taiwan and United States. Frequent co-authors include Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Muhammad Shoaib, Afaf S. Alwabli, Zhiru Zhang, Weizhe Hua, G. Edward Suh, Dumitru Bǎleanu, Ag Asri Ag Ibrahim and Dac‐Nhuong Le. Their work appears in journals such as Vaccines, Evolving Systems, IEEE Access, Applied Soft Computing and Fractals.

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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