Yashesh Dhebar

985 total citations · 1 hit paper
9 papers, 540 citations indexed

About

Yashesh Dhebar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Yashesh Dhebar has authored 9 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Computational Theory and Mathematics. Recurrent topics in Yashesh Dhebar's work include Machine Learning and Data Classification (4 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Advanced Neural Network Applications (3 papers). Yashesh Dhebar is often cited by papers focused on Machine Learning and Data Classification (4 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Advanced Neural Network Applications (3 papers). Yashesh Dhebar collaborates with scholars based in United States and Sweden. Yashesh Dhebar's co-authors include Kalyanmoy Deb, Ian Whalen, Zhichao Lu, Wolfgang Banzhaf, Erik D. Goodman, Vishnu Naresh Boddeti, Sunith Bandaru, Julian Blank, Haitham Seada and Dimitar Filev and has published in prestigious journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Evolutionary Computation and Proceedings of the Genetic and Evolutionary Computation Conference.

In The Last Decade

Yashesh Dhebar

9 papers receiving 530 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.

NSGA-Net

2019 285 citations Zhichao Lu, Ian Whalen et al. Proceedings of the Genetic and Evolutionary Computation Conference profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yashesh Dhebar United States	6	400	212	132	34	34	9	540
Ian Whalen United States	4	359 0.9×	208 1.0×	94 0.7×	32 0.9×	29 0.9×	4	463
Jiayu Liang China	7	253 0.6×	111 0.5×	81 0.6×	35 1.0×	30 0.9×	20	451
Taymaz Rahkar Farshi Türkiye	8	195 0.5×	135 0.6×	75 0.6×	25 0.7×	37 1.1×	12	370
Kangjian Sun China	11	218 0.5×	134 0.6×	87 0.7×	18 0.5×	38 1.1×	17	379
Sait Ali Uymaz Türkiye	9	283 0.7×	59 0.3×	140 1.1×	49 1.4×	46 1.4×	17	424
Liangliang Li China	6	250 0.6×	118 0.6×	34 0.3×	30 0.9×	28 0.8×	13	327
Xuewen Chen United States	8	357 0.9×	99 0.5×	37 0.3×	18 0.5×	33 1.0×	19	507
Sandip Dey India	10	242 0.6×	181 0.9×	62 0.5×	21 0.6×	42 1.2×	31	436
Ayça Deniz Türkiye	8	303 0.8×	87 0.4×	78 0.6×	13 0.4×	21 0.6×	15	436
Yanpeng Qu China	13	248 0.6×	109 0.5×	68 0.5×	9 0.3×	28 0.8×	49	388

Countries citing papers authored by Yashesh Dhebar

Since Specialization

Citations

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

Fields of papers citing papers by Yashesh Dhebar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yashesh Dhebar

This figure shows the co-authorship network connecting the top 25 collaborators of Yashesh Dhebar. A scholar is included among the top collaborators of Yashesh Dhebar 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 Yashesh Dhebar. Yashesh Dhebar 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:

9 of 9 papers shown

1.

Dhebar, Yashesh, Kalyanmoy Deb, Subramanya Nageshrao, Ling Zhu, & Dimitar Filev. (2022). Toward Interpretable-AI Policies Using Evolutionary Nonlinear Decision Trees for Discrete-Action Systems. IEEE Transactions on Cybernetics. 54(1). 50–62. 14 indexed citations

2.

Ghosh, Abhiroop, Yashesh Dhebar, Ritam Guha, et al.. (2021). Interpretable AI Agent Through Nonlinear Decision Trees for Lane Change Problem. 2021 IEEE Symposium Series on Computational Intelligence (SSCI). 1–8. 3 indexed citations

3.

Blank, Julian, Kalyanmoy Deb, Yashesh Dhebar, Sunith Bandaru, & Haitham Seada. (2020). Generating Well-Spaced Points on a Unit Simplex for Evolutionary Many-Objective Optimization. IEEE Transactions on Evolutionary Computation. 25(1). 48–60. 54 indexed citations

4.

Lu, Zhichao, Ian Whalen, Yashesh Dhebar, et al.. (2020). Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification. IEEE Transactions on Evolutionary Computation. 25(2). 277–291. 138 indexed citations

5.

Lu, Zhichao, Ian Whalen, Yashesh Dhebar, et al.. (2020). NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract). 4750–4754. 8 indexed citations

6.

Lu, Zhichao, Ian Whalen, Vishnu Naresh Boddeti, et al.. (2019). NSGA-Net. Proceedings of the Genetic and Evolutionary Computation Conference. 419–427. 285 indexed citations breakdown →

7.

Lu, Zhichao, Ian Whalen, Vishnu Naresh Boddeti, et al.. (2018). NSGA-NET: A Multi-Objective Genetic Algorithm for Neural Architecture Search.. 32 indexed citations

8.

Dhebar, Yashesh & Kalyanmoy Deb. (2017). A computationally fast multimodal optimization with push enabled genetic algorithm. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 191–192. 4 indexed citations

9.

Deb, Kalyanmoy, et al.. (2012). Non-Uniform Mapping in Binary-Coded Genetic Algorithms.. 133–144. 2 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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