Gajendra Pratap Singh
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- Petri Nets in System Modeling 11
- Formal Methods in Verification 5
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- Gene Regulatory Network Analysis 4
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- Business Process Modeling and Analysis 4
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- Colonial History and Postcolonial Studies 3
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- Indian History and Philosophy 3
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- Innovative Microfluidic and Catalytic Techniques Innovation 2
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- Tuberculosis Research and Epidemiology 2
- Co-authors
- Mamtesh SinghHamed BarabadiEepsita PriyadarshiniMuthupandian SaravananSaurabh Kumar SharmaR. PaulrajRamovatar MeenaRaj Kumar
- Partner nations
- IndiaUnited KingdomEthiopia
In The Last Decade
Gajendra Pratap Singh
23 papers receiving 236 citations
Peers
Comparison fields: 5 of 76
- Biomaterials 54
- Pollution 29
- Process Chemistry and Technology 7
- Computational Theory and Mathematics 32
- Complementary and alternative medicine 15
Countries citing papers authored by Gajendra Pratap Singh
This map shows the geographic impact of Gajendra Pratap Singh'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 Gajendra Pratap Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gajendra Pratap Singh more than expected).
Fields of papers citing papers by Gajendra Pratap Singh
This network shows the impact of papers produced by Gajendra Pratap Singh. 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 Gajendra Pratap Singh. The network helps show where Gajendra Pratap Singh may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Gajendra Pratap Singh, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 13 | |
| 9 | 2022 | 4 | |
| 10 | 2021 | 58 | |
| 11 | 2021 | 3 | |
| 12 | 2020 | 10 | |
| 13 | A Petri Net Analysis to Study the Effects of Diabetes on Cardiovascular Diseases | 2019 | 2 |
| 14 | 2019 | 9 | |
| 15 | 2019 | 88 | |
| 16 | 2017 | 1 | |
| 17 | 2016 | 5 | |
| 18 | 2014 | 6 | |
| 19 | 2014 | 5 | |
| 20 | 2011 | 4 |
About Gajendra Pratap Singh
Gajendra Pratap Singh is a scholar working on Computational Theory and Mathematics, Management Information Systems, Philosophy, Biomaterials and Computer Networks and Communications, having authored 25 papers that have together received 243 indexed citations. Recurring topics across this work include Petri Nets in System Modeling (11 papers), Formal Methods in Verification (5 papers), Gene Regulatory Network Analysis (4 papers), Business Process Modeling and Analysis (4 papers), Colonial History and Postcolonial Studies (3 papers), Indian History and Philosophy (3 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Biomaterials (54 citations), Pollution (29 citations), Process Chemistry and Technology (7 citations), Computational Theory and Mathematics (32 citations) and Complementary and alternative medicine (15 citations). Gajendra Pratap Singh has collaborated with scholars based in India, United Kingdom and Ethiopia. Frequent co-authors include Mamtesh Singh, Hamed Barabadi, Eepsita Priyadarshini, Muthupandian Saravanan, Saurabh Kumar Sharma, R. Paulraj, Ramovatar Meena, Raj Kumar, Naidu Subbarao and Sakshi Gupta. Their work appears in journals such as Bioscience Reports, Past & Present, Tuberculosis, Frontiers in Bioengineering and Biotechnology and Annals of Operations Research.
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.