Tribhuvanesh Orekondy

467 total citations
11 papers, 193 citations indexed

About

Tribhuvanesh Orekondy is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Tribhuvanesh Orekondy has authored 11 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Tribhuvanesh Orekondy's work include Privacy-Preserving Technologies in Data (6 papers), Adversarial Robustness in Machine Learning (5 papers) and Wireless Signal Modulation Classification (2 papers). Tribhuvanesh Orekondy is often cited by papers focused on Privacy-Preserving Technologies in Data (6 papers), Adversarial Robustness in Machine Learning (5 papers) and Wireless Signal Modulation Classification (2 papers). Tribhuvanesh Orekondy collaborates with scholars based in Germany, United Kingdom and India. Tribhuvanesh Orekondy's co-authors include Mario Fritz, Bernt Schiele, Dingfan Chen, Joseph B. Soriaga, Arash Behboodi, Hui‐Po Wang, Seong Joon Oh, K. G. Srinivasa, Ashwin Sampath and Taesang Yoo and has published in prestigious journals such as Figshare, arXiv (Cornell University) and ICC 2022 - IEEE International Conference on Communications.

In The Last Decade

Tribhuvanesh Orekondy

11 papers receiving 191 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tribhuvanesh Orekondy Germany 8 132 76 29 27 19 11 193
Zhourong Chen Hong Kong 7 87 0.7× 82 1.1× 14 0.5× 18 0.7× 31 1.6× 9 164
Si‐Ahmed Naas Finland 5 219 1.7× 23 0.3× 33 1.1× 9 0.3× 26 1.4× 9 244
Yuanfeng Song Hong Kong 8 121 0.9× 31 0.4× 27 0.9× 20 0.7× 38 2.0× 47 185
Jen-tse Huang China 7 142 1.1× 39 0.5× 16 0.6× 34 1.3× 12 0.6× 17 179
Ayush K Tarun India 4 108 0.8× 38 0.5× 12 0.4× 10 0.4× 17 0.9× 6 178
Daryl Johnson United States 8 90 0.7× 55 0.7× 10 0.3× 68 2.5× 54 2.8× 44 174
Amirsina Torfi United States 4 98 0.7× 57 0.8× 12 0.4× 50 1.9× 10 0.5× 8 169
Tuan Dung Nguyen Australia 7 71 0.5× 33 0.4× 12 0.4× 71 2.6× 7 0.4× 14 153
Yury Zemlyanskiy United States 5 127 1.0× 28 0.4× 11 0.4× 15 0.6× 20 1.1× 6 192
Elan Rosenfeld United States 3 206 1.6× 48 0.6× 18 0.6× 30 1.1× 5 0.3× 3 224

Countries citing papers authored by Tribhuvanesh Orekondy

Since Specialization
Citations

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

Fields of papers citing papers by Tribhuvanesh Orekondy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tribhuvanesh Orekondy

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

All Works

11 of 11 papers shown
1.
Orekondy, Tribhuvanesh, et al.. (2023). Transformer-Based Neural Surrogate for Link-Level Path Loss Prediction from Variable-Sized Maps. 4804–4809. 9 indexed citations
2.
Orekondy, Tribhuvanesh, Arash Behboodi, & Joseph B. Soriaga. (2022). MIMO-GAN: Generative MIMO Channel Modeling. ICC 2022 - IEEE International Conference on Communications. 5322–5328. 15 indexed citations
3.
Orekondy, Tribhuvanesh, et al.. (2021). Differential Privacy Defenses and Sampling Attacks for Membership Inference. Figshare. 193–202. 14 indexed citations
4.
Wang, Hui‐Po, Tribhuvanesh Orekondy, & Mario Fritz. (2021). InfoScrub: Towards Attribute Privacy by Targeted Obfuscation. 3275–3283. 14 indexed citations
5.
Orekondy, Tribhuvanesh, Bernt Schiele, & Mario Fritz. (2020). Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks. arXiv (Cornell University). 4 indexed citations
6.
Chen, Dingfan, Tribhuvanesh Orekondy, & Mario Fritz. (2020). GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators. Figshare. 33. 12673–12684. 44 indexed citations
7.
Orekondy, Tribhuvanesh, Bernt Schiele, & Mario Fritz. (2019). Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks. arXiv (Cornell University). 35 indexed citations
8.
Orekondy, Tribhuvanesh, Seong Joon Oh, Yang Zhang, Bernt Schiele, & Mario Fritz. (2019). Gradient-Leaks: Understanding Deanonymization in Federated Learning. MPG.PuRe (Max Planck Society). 1 indexed citations
9.
Orekondy, Tribhuvanesh, Seong Joon Oh, Bernt Schiele, & Mario Fritz. (2018). Understanding and Controlling User Linkability in Decentralized Learning.. Max Planck Digital Library. 7 indexed citations
10.
Orekondy, Tribhuvanesh, Mario Fritz, & Bernt Schiele. (2018). Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images. 8466–8475. 48 indexed citations
11.
Orekondy, Tribhuvanesh, et al.. (2012). Application of support vector machine in Continuous Authentication. 608–613. 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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