Prashant Singh

707 total citations
34 papers, 470 citations indexed

About

Prashant Singh is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Prashant Singh has authored 34 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Artificial Intelligence and 8 papers in Computational Theory and Mathematics. Recurrent topics in Prashant Singh's work include Advanced Multi-Objective Optimization Algorithms (8 papers), Probabilistic and Robust Engineering Design (7 papers) and Gene Regulatory Network Analysis (6 papers). Prashant Singh is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (8 papers), Probabilistic and Robust Engineering Design (7 papers) and Gene Regulatory Network Analysis (6 papers). Prashant Singh collaborates with scholars based in Sweden, Belgium and India. Prashant Singh's co-authors include Sanjeev Agrawal, Vinod Kumar, Tom Dhaene, Dirk Deschrijver, Ivo Couckuyt, Khairy Elsayed, Piyush Kumar, Punesh Sangwan, Milko A. Jorquera and Ashok Kumar Verma and has published in prestigious journals such as Bioinformatics, Expert Systems with Applications and IEEE Access.

In The Last Decade

Prashant Singh

29 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prashant Singh Sweden 12 172 82 78 78 68 34 470
Xiaodong Cheng Netherlands 13 30 0.2× 31 0.4× 46 0.6× 169 2.2× 45 0.7× 56 554
Robert G. Hardin United States 10 157 0.9× 51 0.6× 22 0.3× 17 0.2× 8 0.1× 58 418
Zhenyu Zhong China 13 159 0.9× 25 0.3× 85 1.1× 24 0.3× 25 0.4× 30 470
Arun Arun India 9 23 0.1× 54 0.7× 32 0.4× 95 1.2× 17 0.3× 46 474
Yu Guan China 10 24 0.1× 64 0.8× 81 1.0× 26 0.3× 22 0.3× 22 387
Guifa Teng China 14 228 1.3× 58 0.7× 199 2.6× 58 0.7× 28 0.4× 60 645
Vítor V. Lopes Portugal 14 31 0.2× 14 0.2× 30 0.4× 119 1.5× 26 0.4× 35 395
Vitaliy Feoktistov France 5 23 0.1× 199 2.4× 300 3.8× 55 0.7× 18 0.3× 6 515

Countries citing papers authored by Prashant Singh

Since Specialization
Citations

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

Fields of papers citing papers by Prashant Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prashant Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Prashant Singh. A scholar is included among the top collaborators of Prashant 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 Prashant Singh. Prashant 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.
2.
Singh, Prashant, et al.. (2024). Bayesian polynomial neural networks and polynomial neural ordinary differential equations. PLoS Computational Biology. 20(10). e1012414–e1012414. 3 indexed citations
3.
4.
Singh, Prashant, et al.. (2022). Identification of dynamic mass-action biochemical reaction networks using sparse Bayesian methods. PLoS Computational Biology. 18(1). e1009830–e1009830. 11 indexed citations
5.
Ait‐Mlouk, Addi, Sadi Alawadi, Prashant Singh, et al.. (2022). Scalable federated machine learning with FEDn. 555–564. 27 indexed citations
6.
Singh, Prashant, et al.. (2021). Epidemiological modeling in StochSS Live!. Bioinformatics. 37(17). 2787–2788. 5 indexed citations
7.
Singh, Prashant, et al.. (2021). Accelerated regression-based summary statistics for discrete stochastic systems via approximate simulators. BMC Bioinformatics. 22(1). 339–339.
8.
Singh, Prashant & Andreas Hellander. (2017). Surrogate assisted model reduction for stochastic biochemical reaction networks. Winter Simulation Conference. 1773–1783.
9.
Singh, Prashant, Marco Rossi, Ivo Couckuyt, et al.. (2017). Constrained multi‐objective antenna design optimization using surrogates. International Journal of Numerical Modelling Electronic Networks Devices and Fields. 30(6). 14 indexed citations
10.
Singh, Saurabh, et al.. (2016). Isolation, Epidemiological and Molecular Characterization of Campylobacter from Meat. International journal of innovative research and development. 5(1). 246–248. 1 indexed citations
11.
Gong, Xu, Jens Trogh, Emmeric Tanghe, et al.. (2016). Measurement‐based wireless network planning, monitoring, and reconfiguration solution for robust radio communications in indoor factories. IET Science Measurement & Technology. 10(4). 375–382. 14 indexed citations
12.
Singh, Prashant, et al.. (2016). Automated Line-Based Sequential Sampling and Modeling Algorithm for EMC Near-Field Scanning. IEEE Transactions on Electromagnetic Compatibility. 59(2). 704–709. 9 indexed citations
13.
Singh, Prashant, Ivo Couckuyt, Khairy Elsayed, Dirk Deschrijver, & Tom Dhaene. (2015). Shape optimization of a cyclone separator using multi-objective surrogate-based optimization. Applied Mathematical Modelling. 40(5-6). 4248–4259. 55 indexed citations
14.
Singh, Prashant, Francesco Ferranti, Dirk Deschrijver, Ivo Couckuyt, & Tom Dhaene. (2014). Classification aided domain reduction for high dimensional optimization. Winter Simulation Conference. 3928–3939. 3 indexed citations
15.
Singh, Prashant, Vinod Kumar, & Sanjeev Agrawal. (2014). Evaluation of Phytase Producing Bacteria for Their Plant Growth Promoting Activities. International Journal of Microbiology. 2014. 1–7. 100 indexed citations
16.
Singh, Prashant, Dirk Deschrijver, & Tom Dhaene. (2013). A balanced sequential design strategy for global surrogate modeling. Winter Simulation Conference. 2172–2179. 12 indexed citations
17.
Kumar, Vinod, Prashant Singh, Milko A. Jorquera, et al.. (2013). Isolation of phytase-producing bacteria from Himalayan soils and their effect on growth and phosphorus uptake of Indian mustard (Brassica juncea). World Journal of Microbiology and Biotechnology. 29(8). 1361–1369. 87 indexed citations
18.
Singh, Prashant, Dirk Deschrijver, Davy Pissoort, & Tom Dhaene. (2013). Adaptive classification algorithm for EMC‐compliance testing of electronic devices. Electronics Letters. 49(24). 1526–1528. 8 indexed citations
19.
Singh, Prashant, Dirk Deschrijver, Davy Pissoort, & Tom Dhaene. (2013). Accurate Hotspot Localization by Sampling the Near-Field Pattern of Electronic Devices. IEEE Transactions on Electromagnetic Compatibility. 55(6). 1365–1368. 11 indexed citations
20.
Singh, Prashant, et al.. (2011). Prediction of entrance length for low Reynolds number flow in pipe using neuro-fuzzy inference system. Expert Systems with Applications. 39(4). 4545–4557. 11 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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