Rohit Salgotra

2.5k total citations
77 papers, 1.8k citations indexed

About

Rohit Salgotra is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Rohit Salgotra has authored 77 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 29 papers in Electrical and Electronic Engineering and 22 papers in Computational Theory and Mathematics. Recurrent topics in Rohit Salgotra's work include Metaheuristic Optimization Algorithms Research (38 papers), Advanced Multi-Objective Optimization Algorithms (21 papers) and Evolutionary Algorithms and Applications (19 papers). Rohit Salgotra is often cited by papers focused on Metaheuristic Optimization Algorithms Research (38 papers), Advanced Multi-Objective Optimization Algorithms (21 papers) and Evolutionary Algorithms and Applications (19 papers). Rohit Salgotra collaborates with scholars based in India, Australia and Poland. Rohit Salgotra's co-authors include Urvinder Singh, Amir H. Gandomi, Nitin Mittal, Sriparna Saha, Mostafa Gandomi, Gurdeep Singh, B.S. Sohi, Pankaj Sharma, R. Saravanakumar and Munish Rattan and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Rohit Salgotra

70 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rohit Salgotra India 25 902 543 380 296 283 77 1.8k
Ricardo H. C. Takahashi Brazil 24 576 0.6× 657 1.2× 485 1.3× 183 0.6× 140 0.5× 198 2.5k
Shimpi Singh Jadon India 10 675 0.7× 244 0.4× 276 0.7× 150 0.5× 62 0.2× 21 1.3k
Urvinder Singh India 30 1.1k 1.2× 1.0k 1.9× 491 1.3× 581 2.0× 595 2.1× 81 2.5k
Tong Han China 19 794 0.9× 297 0.5× 382 1.0× 105 0.4× 235 0.8× 50 1.5k
Giovanni Iacca Italy 20 1.1k 1.2× 171 0.3× 621 1.6× 250 0.8× 43 0.2× 121 1.7k
Abhishek Kumar India 18 897 1.0× 279 0.5× 668 1.8× 64 0.2× 38 0.1× 63 1.4k
Abd Allah A. Mousa Saudi Arabia 28 531 0.6× 493 0.9× 359 0.9× 87 0.3× 56 0.2× 120 2.4k
İbrahim Eksin Türkiye 19 1.2k 1.4× 493 0.9× 504 1.3× 108 0.4× 123 0.4× 96 2.7k
Noor H. Awad Jordan 18 1.2k 1.3× 249 0.5× 746 2.0× 107 0.4× 48 0.2× 31 1.6k
Alma Y. Alanís Mexico 19 474 0.5× 399 0.7× 139 0.4× 149 0.5× 126 0.4× 193 1.8k

Countries citing papers authored by Rohit Salgotra

Since Specialization
Citations

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

Fields of papers citing papers by Rohit Salgotra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rohit Salgotra

This figure shows the co-authorship network connecting the top 25 collaborators of Rohit Salgotra. A scholar is included among the top collaborators of Rohit Salgotra 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 Rohit Salgotra. Rohit Salgotra 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.
Sharma, Pankaj, et al.. (2025). A hybrid Prairie INFO fission naked algorithm with stagnation mechanism for the parametric estimation of solar photovoltaic systems. Scientific Reports. 15(1). 4001–4001. 2 indexed citations
2.
Singh, Pratap, Nitin Mittal, Vikas Mittal, et al.. (2025). A Distributed Energy-Throughput Efficient Cross-Layer Framework Using Hybrid Optimization Algorithm. Mathematics. 13(2). 224–224. 1 indexed citations
3.
Salgotra, Rohit, et al.. (2025). Enhancing differential evolution algorithm for CEC 2014, CEC 2017, CEC 2021, and CEC 2022 test suites. Neural Computing and Applications. 37(33). 27593–27630.
4.
Salgotra, Rohit, Amir H. Gandomi, & Kalyanmoy Deb. (2025). Numerical Global Optimization Competition on GNBG-II generated Test Suite. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 107–108.
5.
Salgotra, Rohit, et al.. (2025). A low-level teamwork hybrid model based swarm intelligent algorithm for engineering design optimization. Computer Methods in Applied Mechanics and Engineering. 447. 118317–118317.
6.
Salgotra, Rohit, et al.. (2025). Mutation adaptive cuckoo search hybridized naked mole rat algorithm for industrial engineering problems. Scientific Reports. 15(1). 19655–19655. 1 indexed citations
7.
Al-Majidi, Sadeq D., et al.. (2025). A robust automatic generation control system based on hybrid Aquila Optimizer-Sine Cosine Algorithm. Results in Engineering. 25. 103951–103951. 3 indexed citations
8.
Shastri, Sourabh, Sachin Kumar, Vibhakar Mansotra, & Rohit Salgotra. (2025). Advancing crop recommendation system with supervised machine learning and explainable artificial intelligence. Scientific Reports. 15(1). 25498–25498.
9.
Salgotra, Rohit, Pankaj Sharma, & R. Saravanakumar. (2024). A multi-hybrid algorithm with shrinking population adaptation for constraint engineering design problems. Computer Methods in Applied Mechanics and Engineering. 421. 116781–116781. 14 indexed citations
10.
11.
Salgotra, Rohit, Pankaj Sharma, R. Saravanakumar, & Amir H. Gandomi. (2024). Correction: A Contemporary Systematic Review on Meta-heuristic Optimization Algorithms with Their MATLAB and Python Code Reference. Archives of Computational Methods in Engineering. 1 indexed citations
12.
Salgotra, Rohit, et al.. (2024). A Novel Approach to Predict the Asian Exchange Stock Market Index Using Artificial Intelligence. Algorithms. 17(10). 457–457.
13.
Salgotra, Rohit & Amir H. Gandomi. (2024). A novel multi-hybrid differential evolution algorithm for optimization of frame structures. Scientific Reports. 14(1). 4877–4877. 18 indexed citations
14.
15.
Mittal, Nitin, et al.. (2023). Optimization of Cognitive Radio System Using Enhanced Firefly Algorithm. Intelligent Automation & Soft Computing. 37(3). 3159–3177. 1 indexed citations
16.
Singh, Urvinder, et al.. (2023). An improved naked-mole rat algorithm for numerical optimization. AIP conference proceedings. 2979. 20073–20073. 1 indexed citations
17.
Salgotra, Rohit, Nitin Mittal, & Vikas Mittal. (2023). A New Parallel Cuckoo Flower Search Algorithm for Training Multi-Layer Perceptron. Mathematics. 11(14). 3080–3080. 3 indexed citations
18.
19.
Chohan, Jasgurpreet Singh, Nitin Mittal, Rupinder Singh, et al.. (2022). Predictive modeling of surface and dimensional features of vapour-smoothened FDM parts using self-adaptive cuckoo search algorithm. Progress in Additive Manufacturing. 7(5). 1023–1036. 7 indexed citations
20.
Salgotra, Rohit, Mostafa Gandomi, & Amir H. Gandomi. (2020). Time Series Analysis and Forecast of the COVID-19 Pandemic in India using Genetic Programming. Chaos Solitons & Fractals. 138. 109945–109945. 141 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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