Kusum Deep

7.9k total citations · 4 hit papers
184 papers, 5.7k citations indexed

About

Kusum Deep is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Numerical Analysis. According to data from OpenAlex, Kusum Deep has authored 184 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Artificial Intelligence, 67 papers in Computational Theory and Mathematics and 22 papers in Numerical Analysis. Recurrent topics in Kusum Deep's work include Metaheuristic Optimization Algorithms Research (107 papers), Advanced Multi-Objective Optimization Algorithms (64 papers) and Evolutionary Algorithms and Applications (53 papers). Kusum Deep is often cited by papers focused on Metaheuristic Optimization Algorithms Research (107 papers), Advanced Multi-Objective Optimization Algorithms (64 papers) and Evolutionary Algorithms and Applications (53 papers). Kusum Deep collaborates with scholars based in India, United Kingdom and Australia. Kusum Deep's co-authors include Shubham Gupta, Manoj Thakur, Jagdish Chand Bansal, Millie Pant, Krishna Pratap Singh, Mitthan Lal Kansal, Chilukuri K. Mohan, Kanchan Rajwar, Shail Kumar Dinkar and Swagatam Das and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Kusum Deep

179 papers receiving 5.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A real coded genetic algorithm for solving integer and mixed integer optimization problems

2009 545 citations Kusum Deep et al. profile →
A novel Random Walk Grey Wolf Optimizer

2018 352 citations Kusum Deep et al. Swarm and Evolutionary Computation profile →
An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges

2023 287 citations Kanchan Rajwar, Kusum Deep et al. profile →
A hybrid self-adaptive sine cosine algorithm with opposition based learning

2018 248 citations Kusum Deep et al. Expert Systems with Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kusum Deep India	35	3.1k	1.6k	982	972	645	184	5.7k
Yongquan Zhou China	41	3.4k 1.1×	1.3k 0.8×	887 0.9×	821 0.8×	1.0k 1.6×	302	6.2k
Patrick Siarry France	38	2.8k 0.9×	1.8k 1.2×	1.1k 1.1×	1.0k 1.1×	1.1k 1.7×	196	7.1k
Seyedeh Zahra Mirjalili Australia	10	2.7k 0.9×	1.3k 0.8×	920 0.9×	1.4k 1.4×	558 0.9×	13	5.2k
Esmat Rashedi Iran	19	4.4k 1.4×	1.9k 1.2×	1.1k 1.2×	1.6k 1.7×	1.1k 1.7×	45	7.6k
Saeı̈d Saryazdi Iran	16	4.2k 1.4×	1.8k 1.2×	1.1k 1.1×	1.6k 1.6×	1.2k 1.9×	46	7.3k
Fatma A. Hashim Egypt	24	2.8k 0.9×	1.2k 0.8×	860 0.9×	1.1k 1.1×	636 1.0×	82	5.2k
Konstantinos E. Parsopoulos Greece	29	2.7k 0.9×	1.6k 1.0×	859 0.9×	786 0.8×	339 0.5×	87	4.9k
Zhun Fan China	37	2.0k 0.6×	1.7k 1.1×	684 0.7×	632 0.7×	728 1.1×	249	4.6k
Farhad Soleimanian Gharehchopogh Iran	48	4.2k 1.4×	1.6k 1.1×	919 0.9×	1.2k 1.3×	874 1.4×	156	7.7k
D. P. Vakharia India	12	2.6k 0.8×	1.4k 0.9×	986 1.0×	1.4k 1.5×	450 0.7×	38	5.6k

Countries citing papers authored by Kusum Deep

Since Specialization

Citations

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

Fields of papers citing papers by Kusum Deep

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kusum Deep

This figure shows the co-authorship network connecting the top 25 collaborators of Kusum Deep. A scholar is included among the top collaborators of Kusum Deep 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 Kusum Deep. Kusum Deep is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Rajwar, Kanchan & Kusum Deep. (2024). Structural bias in metaheuristic algorithms: Insights, open problems, and future prospects. Swarm and Evolutionary Computation. 92. 101812–101812. 3 indexed citations

Rajwar, Kanchan, et al.. (2024). Investigating Structural Bias in Real-Coded Genetic Algorithms. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 447–450. 1 indexed citations

Deep, Kusum, et al.. (2024). Discrete Marine Predators Algorithm for Symmetric Travelling Salesman Problem. Evolutionary Intelligence. 17(5-6). 3833–3848. 2 indexed citations

Deep, Kusum, et al.. (2024). Performance of Beta Mutation on CEC 2017 and CEC 2022 Benchmarks. 1–8. 1 indexed citations

Banerjee, Mousumi, et al.. (2023). Enhancing Sine–Cosine mutation strategy with Lorentz distribution for solving engineering design problems. International Journal of Systems Assurance Engineering and Management. 15(4). 1536–1567. 1 indexed citations

Rajwar, Kanchan & Kusum Deep. (2023). Uncovering structural bias in population-based optimization algorithms: A theoretical and simulation-based analysis of the Generalized Signature Test. Expert Systems with Applications. 240. 122332–122332. 12 indexed citations

Deep, Kusum, et al.. (2023). Improved Teaching Learning Algorithm with Laplacian operator for solving nonlinear engineering optimization problems. Engineering Applications of Artificial Intelligence. 124. 106549–106549. 12 indexed citations

Deep, Kusum, et al.. (2023). Quadratic approximation salp swarm algorithm for function optimization. OPSEARCH. 61(1). 282–314. 5 indexed citations

Deep, Kusum, et al.. (2023). Laplacian Salp Swarm Algorithm for continuous optimization. International Journal of Systems Assurance Engineering and Management. 2 indexed citations

10.

Bansal, Jagdish Chand, et al.. (2019). Soft Computing for Problem Solving SocProS 2017, Volume 1. CERN Document Server (European Organization for Nuclear Research). 2 indexed citations

11.

Deep, Kusum, et al.. (2015). Real Coded Genetic Algorithm Operators Embedded in Gravitational Search Algorithm for Continuous Optimization. International Journal of Intelligent Systems and Applications. 7(12). 1–12. 13 indexed citations

12.

Pant, Millie, Kusum Deep, Jagdish Chand Bansal, Atulya K. Nagar, & Kedar Nath Das. (2014). Proceedings of Fifth International Conference on Soft Computing for Problem Solving: SocProS 2015 - Volume 1. Springer eBooks. 3 indexed citations

13.

Deep, Kusum, Atulya K. Nagar, Millie Pant, & Jagdish Chand Bansal. (2012). Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011 - Volume 1. DIAL (Catholic University of Leuven). 1076–1076. 2 indexed citations

14.

Deep, Kusum, et al.. (2012). Variant of partially mapped crossover for the Travelling Salesman problems. Redalyc (Universidad Autónoma del Estado de México). 3(1). 47–69. 17 indexed citations

15.

Deep, Kusum, et al.. (2011). New Variations of Order Crossover for Travelling Salesman Problem. Redalyc (Universidad Autónoma del Estado de México). 2(1). 2–13. 34 indexed citations

16.

Deep, Kusum, et al.. (2011). Combined Mutation Operators of Genetic Algorithm for the Travelling Salesman Problem. Redalyc (Universidad Autónoma del Estado de México). 2(3). 2–24. 19 indexed citations

17.

Deep, Kusum, et al.. (2010). A New Multi-Swarm Particle Swarm Optimization and Its Application to Lennard-Jones Problem. Americanae (AECID Library). 2 indexed citations

18.

Deep, Kusum & V. K. Katiyar. (2010). Minimizing Lennard-Jones potential using a real coded Genetic Algorithm and Particle Swarm Optimization∗.

19.

Birla, Dinesh, et al.. (2006). Application of Random Search Technique in Directional Overcurrent Relay Coordination. International Journal of Emerging Electric Power Systems. 7(1). 34 indexed citations

20.

Deep, Kusum, et al.. (2005). A population based heuristic algorithm for optimal relay operating times ∗. 3 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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