Umar Farooq Ghumman
Impact in
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- Computational Drug Discovery Methods
- Advanced Multi-Objective Optimization Algorithms
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- Conducting polymers and applications
Papers in
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- Organic Electronics and Photovoltaics 6
- Thin-Film Transistor Technologies 3
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- Advanced Multi-Objective Optimization Algorithms 2
- Computational Drug Discovery Methods 2
- Co-authors
- Wei Chen (10 shared papers)Akshay Iyer (6 shared papers)Guang Chen (1 shared paper)Zhiqiang Shen (1 shared paper)Jinbo Bi (1 shared paper)Ying Li (1 shared paper)Shan Tang (1 shared paper)TeYu Chien (8 shared papers)
- Journals
- Computational Materials Science (3 papers)Journal of Mechanical Design (2 papers)Journal of Manufacturing Science and Engineering (1 paper)Journal of Polymer Science Part B Polymer Physics (1 paper)Polymers (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Umar Farooq Ghumman
12 papers receiving 294 citations
Peers
Comparison fields: 5 of 70
- Computational Theory and Mathematics 74
- Polymers and Plastics 63
- Materials Chemistry 152
- Biophysics 9
- Electrical and Electronic Engineering 83
Countries citing papers authored by Umar Farooq Ghumman
This map shows the geographic impact of Umar Farooq Ghumman'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 Umar Farooq Ghumman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umar Farooq Ghumman more than expected).
Fields of papers citing papers by Umar Farooq Ghumman
This network shows the impact of papers produced by Umar Farooq Ghumman. 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 Umar Farooq Ghumman. The network helps show where Umar Farooq Ghumman may publish in the future.
Co-authors
The 25 scholars most cited alongside Umar Farooq Ghumman, 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 | 2020 | 139 | |
| 2 | 2020 | 36 | |
| 3 | 2020 | 27 | |
| 4 | 2018 | 25 | |
| 5 | 2018 | 21 | |
| 6 | 2019 | 18 | |
| 7 | 2020 | 10 | |
| 8 | 2023 | 8 | |
| 9 | 2018 | 6 | |
| 10 | 2022 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2020 | 2 | |
| 13 | 2020 | 0 |
About Umar Farooq Ghumman
Umar Farooq Ghumman is a scholar working on Electrical and Electronic Engineering, Computational Theory and Mathematics, Mechanical Engineering, Polymers and Plastics and Materials Chemistry, having authored 13 papers that have together received 299 indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (6 papers), Conducting polymers and applications (3 papers), Thin-Film Transistor Technologies (3 papers), Machine Learning in Materials Science (3 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Computational Drug Discovery Methods (2 papers) and Additive Manufacturing Materials and Processes (2 papers). The work is most often cited by research in Computational Theory and Mathematics (74 citations), Polymers and Plastics (63 citations), Materials Chemistry (152 citations), Biophysics (9 citations) and Electrical and Electronic Engineering (83 citations). Umar Farooq Ghumman has collaborated with scholars based in United States and China. Frequent co-authors include Wei Chen, Akshay Iyer, Guang Chen, Zhiqiang Shen, Jinbo Bi, Ying Li, Shan Tang, TeYu Chien, Ganesh Balasubramanian and Jamie P. McCusker. Their work appears in journals such as Computational Materials Science, Journal of Mechanical Design, Journal of Manufacturing Science and Engineering, Journal of Polymer Science Part B Polymer Physics and Polymers.
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.