Prachi Agrawal

1.4k total citations · 1 hit paper
39 papers, 967 citations indexed

About

Prachi Agrawal is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Prachi Agrawal has authored 39 papers receiving a total of 967 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Electrical and Electronic Engineering and 9 papers in Control and Systems Engineering. Recurrent topics in Prachi Agrawal's work include Metaheuristic Optimization Algorithms Research (10 papers), Optimization and Mathematical Programming (7 papers) and Multi-Criteria Decision Making (4 papers). Prachi Agrawal is often cited by papers focused on Metaheuristic Optimization Algorithms Research (10 papers), Optimization and Mathematical Programming (7 papers) and Multi-Criteria Decision Making (4 papers). Prachi Agrawal collaborates with scholars based in India, Egypt and Saudi Arabia. Prachi Agrawal's co-authors include Ali Wagdy Mohamed, Talari Ganesh, Hattan F. Abutarboush, P. J. Narayanan, Anas A. Hadi, Karam M. Sallam, Ali Khater Mohamed, Diego Oliva, Seba Susan and Khalid A. Alnowibet and has published in prestigious journals such as IEEE Access, IEEE Transactions on Circuits and Systems for Video Technology and Polymers.

In The Last Decade

Prachi Agrawal

33 papers receiving 923 citations

Hit Papers

Metaheuristic Algorithms on Feature Selection: A Survey o... 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prachi Agrawal India 12 529 220 158 99 87 39 967
Ahmad Nickabadi Iran 9 503 1.0× 191 0.9× 205 1.3× 128 1.3× 162 1.9× 31 906
Binh Tran Australia 11 691 1.3× 175 0.8× 224 1.4× 58 0.6× 66 0.8× 26 979
Manosij Ghosh India 15 727 1.4× 368 1.7× 164 1.0× 76 0.8× 64 0.7× 21 1.2k
Aaron Klein Germany 8 753 1.4× 236 1.1× 129 0.8× 92 0.9× 56 0.6× 25 1.2k
Mehreen Saeed Pakistan 9 705 1.3× 166 0.8× 257 1.6× 160 1.6× 124 1.4× 26 1.1k
Xianfang Song China 11 854 1.6× 320 1.5× 251 1.6× 54 0.5× 103 1.2× 18 1.2k
Talari Ganesh India 7 430 0.8× 99 0.5× 120 0.8× 66 0.7× 68 0.8× 37 696
Olivia Mendoza Mexico 16 654 1.2× 364 1.7× 113 0.7× 54 0.5× 160 1.8× 42 1.2k

Countries citing papers authored by Prachi Agrawal

Since Specialization
Citations

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

Fields of papers citing papers by Prachi Agrawal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prachi Agrawal

This figure shows the co-authorship network connecting the top 25 collaborators of Prachi Agrawal. A scholar is included among the top collaborators of Prachi Agrawal 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 Prachi Agrawal. Prachi Agrawal 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.
Agrawal, Prachi, et al.. (2025). Introduction to microbiomes in health and diseases. International review of cell and molecular biology. 394. 1–42.
3.
Malik, Prashant, Mamta Awasthi, Subho Upadhyay, et al.. (2023). Planning and optimization of sustainable grid integrated hybrid energy system in India. Sustainable Energy Technologies and Assessments. 56. 103115–103115. 14 indexed citations
4.
Agrawal, Prachi, et al.. (2021). A Novel Multi-Objective Nonlinear Discrete Binary Gaining-Sharing Knowledge-Based Optimization Algorithm. International Journal of Applied Metaheuristic Computing. 13(1). 1–25. 1 indexed citations
5.
Agrawal, Prachi, Talari Ganesh, & Ali Wagdy Mohamed. (2021). Application of Water Cycle Algorithm to Stochastic Fractional Programming Problems. International Journal of Swarm Intelligence Research. 13(1). 1–21. 2 indexed citations
6.
Agrawal, Prachi, et al.. (2021). A Novel Discrete Binary Gaining-Sharing Knowledge-Based Optimization Algorithm for the Travelling Counselling Problem for Utilization of Solar Energy. International Journal of Swarm Intelligence Research. 13(1). 1–24. 1 indexed citations
7.
Agrawal, Prachi, Talari Ganesh, Diego Oliva, & Ali Wagdy Mohamed. (2021). S-shaped and V-shaped gaining-sharing knowledge-based algorithm for feature selection. Applied Intelligence. 52(1). 81–112. 56 indexed citations
8.
Alnowibet, Khalid A., et al.. (2021). Optimum Location of Field Hospitals for COVID-19: A Nonlinear Binary Metaheuristic Algorithm. Computers, materials & continua/Computers, materials & continua (Print). 68(1). 1183–1202. 12 indexed citations
9.
Agrawal, Prachi, Hattan F. Abutarboush, Talari Ganesh, & Ali Wagdy Mohamed. (2021). Metaheuristic Algorithms on Feature Selection: A Survey of One Decade of Research (2009-2019). IEEE Access. 9. 26766–26791. 392 indexed citations breakdown →
10.
Agrawal, Prachi, Talari Ganesh, & Ali Wagdy Mohamed. (2020). A novel binary gaining–sharing knowledge-based optimization algorithm for feature selection. Neural Computing and Applications. 33(11). 5989–6008. 80 indexed citations
11.
Agrawal, Prachi & Talari Ganesh. (2020). Solution of stochastic transportation problem involving multi-choice random parameter using Newton’s divided difference interpolation. Journal of Information and Optimization Sciences. 42(1). 77–91. 4 indexed citations
12.
Agrawal, Prachi, et al.. (2020). A Statistical Study on the Emotional Intelligence of B.Tech Students of NIT Hamirpur. Journal of Physics Conference Series. 1478(1). 12016–12016.
13.
Jana, Gourhari, et al.. (2020). Integrating firefly algorithm with density functional theory for global optimization of Al42− clusters. Theoretical Chemistry Accounts. 139(2). 7 indexed citations
14.
Agrawal, Prachi, Talari Ganesh, & Ali Wagdy Mohamed. (2020). Solution of Uncertain Solid Transportation Problem by Integer Gaining Sharing Knowledge Based Optimization Algorithm. 158–162. 6 indexed citations
15.
Susan, Seba, et al.. (2019). New shape descriptor in the context of edge continuity. CAAI Transactions on Intelligence Technology. 4(2). 101–109. 38 indexed citations
16.
Agrawal, Prachi, et al.. (2018). LOW POWER OPTIMIZATION TECHNIQUE BASED LINEAR FEEDBACK SHIFT REGISTER. 6(1). 20–20. 3 indexed citations
18.
Agrawal, Prachi, et al.. (2016). Modeling the Effect of Dispersion and Cross Phase Modulation in DWDM System. 5(4). 15–15. 1 indexed citations
19.
Agrawal, Prachi & P. J. Narayanan. (2011). Person De-Identification in Videos. IEEE Transactions on Circuits and Systems for Video Technology. 21(3). 299–310. 95 indexed citations
20.
Agrawal, Prachi. (1999). Urban land consolidation: a review of policy and procedures in Indonesia and other Asian countries. GeoJournal. 49(3). 311–322. 30 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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