Kavitesh Kumar Bali

814 total citations · 1 hit paper
8 papers, 575 citations indexed

About

Kavitesh Kumar Bali is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Social Psychology. According to data from OpenAlex, Kavitesh Kumar Bali has authored 8 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 1 paper in Social Psychology. Recurrent topics in Kavitesh Kumar Bali's work include Advanced Multi-Objective Optimization Algorithms (4 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Evolutionary Algorithms and Applications (4 papers). Kavitesh Kumar Bali is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (4 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Evolutionary Algorithms and Applications (4 papers). Kavitesh Kumar Bali collaborates with scholars based in Singapore, Fiji and China. Kavitesh Kumar Bali's co-authors include Yew-Soon Ong, Abhishek Gupta, Puay Siew Tan, Liang Feng, Anurag Sharma, Rohitash Chandra, Gaurav Singh and Dinesh Kumar and has published in prestigious journals such as IEEE Transactions on Cybernetics and IEEE Transactions on Evolutionary Computation.

In The Last Decade

Kavitesh Kumar Bali

7 papers receiving 571 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.

Multifactorial Evolutionary Algorithm With Online Transfer Parameter Estimation: MFEA-II

2019 303 citations Kavitesh Kumar Bali, Yew-Soon Ong et al. IEEE Transactions on Evolutionary Computation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kavitesh Kumar Bali Singapore	4	464	385	55	38	38	8	575
Borhan Kazimipour Australia	8	380 0.8×	286 0.7×	32 0.6×	22 0.6×	27 0.7×	13	476
Arturo Hernández Aguirre Mexico	11	354 0.8×	253 0.7×	43 0.8×	21 0.6×	23 0.6×	27	474
Shuwei Zhu China	9	292 0.6×	231 0.6×	32 0.6×	40 1.1×	19 0.5×	29	424
Mark W. Hauschild United States	10	374 0.8×	158 0.4×	71 1.3×	35 0.9×	35 0.9×	15	524
Gary Pamparà South Africa	7	319 0.7×	157 0.4×	76 1.4×	26 0.7×	52 1.4×	13	432
Raquel Hernández Gómez Mexico	6	355 0.8×	381 1.0×	32 0.6×	28 0.7×	19 0.5×	9	488
Peilan Xu China	12	326 0.7×	215 0.6×	35 0.6×	20 0.5×	17 0.4×	29	401
Yalan Zhou China	11	228 0.5×	181 0.5×	64 1.2×	22 0.6×	27 0.7×	24	335
Luis Miguel Antonio Mexico	8	331 0.7×	297 0.8×	25 0.5×	24 0.6×	12 0.3×	14	439
Krishnendu Sanyal India	5	374 0.8×	385 1.0×	49 0.9×	14 0.4×	22 0.6×	6	544

Countries citing papers authored by Kavitesh Kumar Bali

Since Specialization

Citations

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

Fields of papers citing papers by Kavitesh Kumar Bali

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kavitesh Kumar Bali. 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 Kavitesh Kumar Bali. The network helps show where Kavitesh Kumar Bali may publish in the future.

Co-authorship network of co-authors of Kavitesh Kumar Bali

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

All Works

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8 of 8 papers shown

1.

Bali, Kavitesh Kumar, et al.. (2024). Depression Detection Using BERT on Social Media Platforms. 228–233. 3 indexed citations

2.

Singh, Gaurav & Kavitesh Kumar Bali. (2024). Enhancing Decision-Making in Optimization through LLM-Assisted Inference: A Neural Networks Perspective. 1–7. 2 indexed citations

3.

Kumar, Dinesh, et al.. (2024). Enhancing Interpretability of Skin Lesion Classification Using Grad-CAM and Weighted Grad-CAM. 1–7.

4.

Bali, Kavitesh Kumar, Abhishek Gupta, Yew-Soon Ong, & Puay Siew Tan. (2020). Cognizant Multitasking in Multiobjective Multifactorial Evolution: MO-MFEA-II. IEEE Transactions on Cybernetics. 51(4). 1784–1796. 136 indexed citations

5.

Bali, Kavitesh Kumar, Yew-Soon Ong, Abhishek Gupta, & Puay Siew Tan. (2019). Multifactorial Evolutionary Algorithm With Online Transfer Parameter Estimation: MFEA-II. IEEE Transactions on Evolutionary Computation. 24(1). 69–83. 303 indexed citations breakdown →

6.

Bali, Kavitesh Kumar, et al.. (2017). Linearized domain adaptation in evolutionary multitasking. 1295–1302. 126 indexed citations

7.

Chandra, Rohitash, et al.. (2016). On the relationship of degree of separability with depth of evolution in decomposition for cooperative coevolution. 4823–4830. 4 indexed citations

8.

Chandra, Rohitash & Kavitesh Kumar Bali. (2015). Competitive two-island cooperative coevolution for real parameter global optimisation. 9. 93–100. 1 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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