Gajendra Pratap Singh

503 total citations
25 papers, 243 citations indexed

About

Gajendra Pratap Singh is a scholar working on Computational Theory and Mathematics, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Gajendra Pratap Singh has authored 25 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Theory and Mathematics, 6 papers in Molecular Biology and 4 papers in Computer Networks and Communications. Recurrent topics in Gajendra Pratap Singh's work include Petri Nets in System Modeling (11 papers), Formal Methods in Verification (5 papers) and Gene Regulatory Network Analysis (4 papers). Gajendra Pratap Singh is often cited by papers focused on Petri Nets in System Modeling (11 papers), Formal Methods in Verification (5 papers) and Gene Regulatory Network Analysis (4 papers). Gajendra Pratap Singh collaborates with scholars based in India, United Kingdom and Iran. Gajendra Pratap Singh's co-authors include Mamtesh Singh, Raj Kumar, Saurabh Kumar Sharma, Muthupandian Saravanan, Eepsita Priyadarshini, Hamed Barabadi, Ramovatar Meena, R. Paulraj, Naidu Subbarao and Md. Zubbair Malik and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Operations Research and Frontiers in Bioengineering and Biotechnology.

In The Last Decade

Gajendra Pratap Singh

23 papers receiving 236 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gajendra Pratap Singh India 7 72 71 57 54 32 25 243
Dina S. Aboul‐Magd Egypt 12 57 0.8× 143 2.0× 26 0.5× 22 0.4× 21 0.7× 13 465
Jialei Xu China 10 123 1.7× 74 1.0× 97 1.7× 10 0.2× 6 0.2× 24 397
Da-Hee Lee South Korea 11 43 0.6× 135 1.9× 57 1.0× 49 0.9× 18 0.6× 25 367
Yu Qian China 9 48 0.7× 40 0.6× 58 1.0× 25 0.5× 3 0.1× 16 333
Rakhi Yadav India 11 259 3.6× 88 1.2× 42 0.7× 19 0.4× 10 0.3× 28 456
Rekha Gahtori India 9 95 1.3× 60 0.8× 72 1.3× 81 1.5× 7 0.2× 16 296
Abdullah S. Alawam Saudi Arabia 10 21 0.3× 89 1.3× 35 0.6× 19 0.4× 11 0.3× 42 269
Patel Puja India 8 217 3.0× 40 0.6× 135 2.4× 69 1.3× 5 0.2× 8 322
Song Jiao China 12 50 0.7× 332 4.7× 115 2.0× 10 0.2× 5 0.2× 17 478
Ruiqi Fan China 9 26 0.4× 108 1.5× 77 1.4× 5 0.1× 5 0.2× 28 315

Countries citing papers authored by Gajendra Pratap Singh

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Gajendra Pratap Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Gajendra Pratap Singh. A scholar is included among the top collaborators of Gajendra Pratap Singh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gajendra Pratap Singh. Gajendra Pratap Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Singh, Gajendra Pratap, et al.. (2025). Petri nets-based approach for frequent pattern mining in market basket analysis. Annals of Operations Research.
2.
Singh, Gajendra Pratap, et al.. (2024). Identification of host immune-related biomarkers in active tuberculosis: A comprehensive analysis of differentially expressed genes. Tuberculosis. 148. 102538–102538. 3 indexed citations
3.
Deo, Rahul C., et al.. (2023). A new fuzzy support vector machine with pinball loss. SHILAP Revista de lepidopterología. 3(1). 6 indexed citations
4.
Singh, Gajendra Pratap, et al.. (2023). Construction of m-cube mesh networks using Petri nets. International Journal of Systems Assurance Engineering and Management. 14(S1). 256–262. 3 indexed citations
5.
Singh, Gajendra Pratap, et al.. (2023). Explainable AI-Driven Machine Learning Approach for Prediction of Acoustic-Based Fire Extinction. 79. 379–385. 1 indexed citations
6.
Singh, Gajendra Pratap, et al.. (2023). On characterizing binary Petri Nets. International Journal of Systems Assurance Engineering and Management. 14(3). 919–929. 1 indexed citations
7.
8.
Gupta, Sakshi, et al.. (2022). Modeling and targeting an essential metabolic pathway of Plasmodium falciparum in apicoplast using Petri nets. Applied mathematics/Applied Mathematics. A Journal of Chinese Universities/Gao-xiao yingyong shuxue xuebao. 37(1). 91–110. 4 indexed citations
9.
Malik, Md. Zubbair, et al.. (2022). Identification of key proteins in host–pathogen interactions between Mycobacterium tuberculosis and Homo sapiens: A systematic network theoretical approach. SHILAP Revista de lepidopterología. 2. 100052–100052. 13 indexed citations
10.
Singh, Gajendra Pratap, et al.. (2021). Challenges and Perspectives of Polyhydroxyalkanoate Production From Microalgae/Cyanobacteria and Bacteria as Microbial Factories: An Assessment of Hybrid Biological System. Frontiers in Bioengineering and Biotechnology. 9. 624885–624885. 58 indexed citations
11.
Singh, Mamtesh, et al.. (2021). Modeling of second-line drug behavior in the treatment of tuberculosis using Petri net. International Journal of Systems Assurance Engineering and Management. 13(S2). 810–819. 3 indexed citations
12.
Singh, Gajendra Pratap, et al.. (2020). Modeling the mechanism pathways of first line drug in Tuberculosis using Petri nets. International Journal of Systems Assurance Engineering and Management. 11(S2). 313–324. 10 indexed citations
13.
Singh, Gajendra Pratap, et al.. (2019). A Petri Net Analysis to Study the Effects of Diabetes on Cardiovascular Diseases. International Conference on Computing for Sustainable Global Development. 2 indexed citations
14.
Gupta, Sakshi, et al.. (2019). Petri Net Recommender System to Model Metabolic Pathway of Polyhydroxyalkanoates. International Journal of Knowledge and Systems Science. 10(2). 42–59. 9 indexed citations
15.
Priyadarshini, Eepsita, Raj Kumar, Saurabh Kumar Sharma, et al.. (2019). Comparative Anticancer Potential of Biologically and Chemically Synthesized Gold Nanoparticles. Journal of Cluster Science. 31(4). 867–876. 88 indexed citations
16.
Singh, Gajendra Pratap. (2017). Basic Properties of Petri Nets. 1(1). 54–71. 1 indexed citations
17.
Singh, Gajendra Pratap. (2016). Applications of Petri nets in electrical, electronics and optimizations. 2180–2184. 5 indexed citations
18.
Singh, Gajendra Pratap. (2014). India and theGreat War: Colonial Fantasies, Anxieties and Discontent. Studies in Ethnicity and Nationalism. 14(2). 343–361. 6 indexed citations
19.
Singh, Gajendra Pratap. (2014). Throwing Snowballs in France: Muslimsipahisof the Indian Army and Sheikh Ahmad's dream, 1915–1918. Modern Asian Studies. 48(4). 1024–1067. 5 indexed citations
20.
Singh, Gajendra Pratap, et al.. (2011). A Disconnected 1-Safe Petri Net Whose Reachability Tree Is Homomorphic to a Complete Boolean Lattice. 71. 1–5. 4 indexed citations

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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