Vishnu Naresh Boddeti

3.0k total citations · 1 hit paper
58 papers, 1.5k citations indexed

About

Vishnu Naresh Boddeti is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Vishnu Naresh Boddeti has authored 58 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 16 papers in Signal Processing. Recurrent topics in Vishnu Naresh Boddeti's work include Advanced Neural Network Applications (16 papers), Biometric Identification and Security (14 papers) and Face recognition and analysis (12 papers). Vishnu Naresh Boddeti is often cited by papers focused on Advanced Neural Network Applications (16 papers), Biometric Identification and Security (14 papers) and Face recognition and analysis (12 papers). Vishnu Naresh Boddeti collaborates with scholars based in United States, China and United Kingdom. Vishnu Naresh Boddeti's co-authors include Zhichao Lu, B. V. K. Vijaya Kumar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Yashesh Dhebar, Ian Whalen, Takeo Kanade, Kris Kitani and H. Hattori and has published in prestigious journals such as Nature, Nature Communications and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Vishnu Naresh Boddeti

56 papers receiving 1.4k citations

Hit Papers

NSGA-Net 2019 2026 2021 2023 2019 50 100 150 200 250
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.

  1. 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 Career Trend Papers Cites
Vishnu Naresh Boddeti United States 21 828 630 239 120 105 58 1.5k
Yuanyuan Liu China 22 428 0.5× 333 0.5× 138 0.6× 69 0.6× 64 0.6× 85 1.3k
Yisen Wang China 16 661 0.8× 1.4k 2.2× 202 0.8× 33 0.3× 64 0.6× 59 1.9k
K. V. Arya India 24 848 1.0× 615 1.0× 174 0.7× 156 1.3× 44 0.4× 135 1.8k
Jian Liang China 27 1.2k 1.4× 1.0k 1.6× 94 0.4× 55 0.5× 67 0.6× 102 2.4k
Yan Yan China 19 1.1k 1.4× 760 1.2× 232 1.0× 32 0.3× 82 0.8× 88 2.0k
J.S. Taur Taiwan 22 361 0.4× 550 0.9× 190 0.8× 62 0.5× 78 0.7× 66 1.8k
George Baciu Hong Kong 21 807 1.0× 252 0.4× 104 0.4× 82 0.7× 139 1.3× 154 1.5k
Piyush Kumar United States 17 427 0.5× 238 0.4× 198 0.8× 107 0.9× 91 0.9× 62 1.3k
Yong Luo China 22 1.2k 1.4× 1.0k 1.6× 123 0.5× 61 0.5× 69 0.7× 116 2.1k

Countries citing papers authored by Vishnu Naresh Boddeti

Since Specialization
Citations

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

Fields of papers citing papers by Vishnu Naresh Boddeti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vishnu Naresh Boddeti. 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 Vishnu Naresh Boddeti. The network helps show where Vishnu Naresh Boddeti may publish in the future.

Co-authorship network of co-authors of Vishnu Naresh Boddeti

This figure shows the co-authorship network connecting the top 25 collaborators of Vishnu Naresh Boddeti. A scholar is included among the top collaborators of Vishnu Naresh Boddeti 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 Vishnu Naresh Boddeti. Vishnu Naresh Boddeti 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.
Wang, Lan, et al.. (2025). SEAL: SEmantic Attention Learning for Long Video Representation. 26192–26201. 1 indexed citations
2.
Bolandi, Hamed, et al.. (2024). Mechanics-informed autoencoder enables automated detection and localization of unforeseen structural damage. Nature Communications. 15(1). 9229–9229. 6 indexed citations
3.
Phanikumar, Mantha S., et al.. (2024). Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote sensing. Journal of Hydroinformatics. 26(10). 2581–2600. 3 indexed citations
4.
Ross, Arun, et al.. (2024). Enhancing Privacy in Face Analytics Using Fully Homomorphic Encryption. 1–9. 4 indexed citations
5.
Bolandi, Hamed, et al.. (2023). Neuro-Dynastress: Predicting Dynamic Stress Distributions In Structural Components. SSRN Electronic Journal.
6.
Zhu, Zhuangdi, et al.. (2023). International Workshop on Federated Learning for Distributed Data Mining. 5861–5862. 6 indexed citations
7.
Park, Daniel, Xingyou Song, Mitchell McIntire, et al.. (2023). Discovering Adaptable Symbolic Algorithms from Scratch. 3889–3896. 2 indexed citations
8.
Guha, Ritam, Wei Ao, Vishnu Naresh Boddeti, et al.. (2023). MOAZ: A Multi-Objective AutoML-Zero Framework. Proceedings of the Genetic and Evolutionary Computation Conference. 485–492. 2 indexed citations
9.
Wang, Lan, Gaurav Mittal, Ye Yu, et al.. (2023). ProTéGé: Untrimmed Pretraining for Video Temporal Grounding by Video Temporal Grounding. 6575–6585. 8 indexed citations
10.
Bolandi, Hamed, et al.. (2022). Deep learning paradigm for prediction of stress distribution in damaged structural components with stress concentrations. Advances in Engineering Software. 173. 103240–103240. 16 indexed citations
11.
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
12.
Boddeti, Vishnu Naresh, et al.. (2019). Constrained Sampling: Optimum Reconstruction in Subspace With Minimax Regret Constraint. IEEE Transactions on Signal Processing. 67(16). 4218–4230.
13.
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 →
14.
Fan, Haoqi, et al.. (2017). Efficient K-Shot Learning with Regularized Deep Networks. arXiv (Cornell University). 32(1). 4382–4389. 5 indexed citations
15.
Zeng, Andy, Vishnu Naresh Boddeti, Kris Kitani, & Takeo Kanade. (2015). Face Alignment Refinement. 162–169. 1 indexed citations
16.
Boddeti, Vishnu Naresh, et al.. (2013). Maximum-Margin Coupled Mappings for cross-domain matching. 1–8. 10 indexed citations
17.
Rodríguez, Andrés, Vishnu Naresh Boddeti, B. V. K. Vijaya Kumar, & Abhijit Mahalanobis. (2012). Maximum Margin Correlation Filter: A New Approach for Localization and Classification. IEEE Transactions on Image Processing. 22(2). 631–643. 68 indexed citations
18.
Boddeti, Vishnu Naresh & B. V. K. Vijaya Kumar. (2012). A Framework for Binding and Retrieving Class-Specific Information to and from Image Patterns Using Correlation Filters. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(9). 2064–2077. 7 indexed citations
19.
Ren, Kai, et al.. (2012). RainMon. 1158–1166. 15 indexed citations
20.
Boddeti, Vishnu Naresh, Jonathon M. Smereka, & B. V. K. Vijaya Kumar. (2011). A comparative evaluation of iris and ocular recognition methods on challenging ocular images. 1–8. 28 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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