Tejas Kulkarni

1.1k total citations
18 papers, 462 citations indexed

About

Tejas Kulkarni is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tejas Kulkarni has authored 18 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tejas Kulkarni's work include Privacy-Preserving Technologies in Data (7 papers), Distributed systems and fault tolerance (4 papers) and Cryptography and Data Security (4 papers). Tejas Kulkarni is often cited by papers focused on Privacy-Preserving Technologies in Data (7 papers), Distributed systems and fault tolerance (4 papers) and Cryptography and Data Security (4 papers). Tejas Kulkarni collaborates with scholars based in United States, United Kingdom and India. Tejas Kulkarni's co-authors include Graham Cormode, Divesh Srivastava, Karthik Narasimhan, Regina Barzilay, Ninghui Li, Somesh Jha, Tianhao Wang, John Augustine, Sungahn Ko and Yaroslav Ganin and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Knowledge and Data Engineering and Proceedings of the VLDB Endowment.

In The Last Decade

Tejas Kulkarni

16 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tejas Kulkarni United States	7	390	80	78	68	58	18	462
Yiqun Diao Singapore	2	503 1.3×	69 0.9×	38 0.5×	57 0.8×	53 0.9×	5	566
Wei Tong China	9	242 0.6×	55 0.7×	58 0.7×	21 0.3×	54 0.9×	21	320
Shaojing Fu China	10	218 0.6×	75 0.9×	35 0.4×	35 0.5×	48 0.8×	45	297
Sina Shaham United States	7	285 0.7×	36 0.5×	84 1.1×	29 0.4×	68 1.2×	18	386
Briland Hitaj United States	3	751 1.9×	70 0.9×	70 0.9×	93 1.4×	60 1.0×	5	809
Moming Duan China	8	429 1.1×	64 0.8×	38 0.5×	44 0.6×	74 1.3×	17	498
Zhiyuan Wang China	12	424 1.1×	62 0.8×	33 0.4×	48 0.7×	84 1.4×	38	580
Lichuan Ma China	7	246 0.6×	82 1.0×	51 0.7×	23 0.3×	73 1.3×	15	407
Huayi Duan Hong Kong	12	390 1.0×	168 2.1×	55 0.7×	44 0.6×	43 0.7×	26	532

Countries citing papers authored by Tejas Kulkarni

Since Specialization

Citations

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

Fields of papers citing papers by Tejas Kulkarni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tejas Kulkarni

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

All Works

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18 of 18 papers shown

Kulkarni, Tejas, et al.. (2025). Multiphysics-Informed ML-Assisted Chiplet Floorplanning for Heterogeneous Integration. IEEE Transactions on Components Packaging and Manufacturing Technology. 15(5). 959–973.

Koskela, Antti, et al.. (2024). Communication Efficient Differentially Private Federated Learning Using Second Order Information. Proceedings on Privacy Enhancing Technologies. 2025(1). 584–612.

Kulkarni, Tejas, Nikhilesh Chawla, & Ganesh Subbarayan. (2023). Physical Authentication of Electronic Devices using Synthetically Generated 3D Material Signatures. 955–959. 1 indexed citations

Kulkarni, Tejas, et al.. (2023). DCT based robust coverless information hiding scheme with high capacity. 358–364. 3 indexed citations

Kulkarni, Tejas, et al.. (2021). Differentially Private Bayesian Inference for Generalized Linear Models. Research Explorer (The University of Manchester). 5838–5849. 4 indexed citations

Kulkarni, Tejas, et al.. (2020). A Review of Literature on Braille Tab and the Underlying Technology. 333–335. 3 indexed citations

Cormode, Graham, Tejas Kulkarni, & Divesh Srivastava. (2019). Constrained Private Mechanisms for Count Data. IEEE Transactions on Knowledge and Data Engineering. 1–1. 4 indexed citations

Cormode, Graham, Tejas Kulkarni, & Divesh Srivastava. (2019). Answering range queries under local differential privacy. Proceedings of the VLDB Endowment. 12(10). 1126–1138. 65 indexed citations

Ganin, Yaroslav, Tejas Kulkarni, I. Babuschkin, S. M. Ali Eslami, & Oriol Vinyals. (2018). Synthesizing Programs for Images using Reinforced Adversarial Learning.. International Conference on Machine Learning. 1666–1675. 11 indexed citations

10.

Cormode, Graham, Somesh Jha, Tejas Kulkarni, et al.. (2018). Privacy at Scale. Warwick Research Archive Portal (University of Warwick). 1655–1658. 128 indexed citations

11.

Cormode, Graham, Tejas Kulkarni, & Divesh Srivastava. (2018). Marginal Release Under Local Differential Privacy. Warwick Research Archive Portal (University of Warwick). 131–146. 85 indexed citations

12.

Cormode, Graham, Tejas Kulkarni, & Divesh Srivastava. (2018). Constrained Private Mechanisms for Count Data. Warwick Research Archive Portal (University of Warwick). 9. 845–856. 2 indexed citations

13.

Augustine, John, et al.. (2016). Leader Election in Sparse Dynamic Networks with Churn. Internet Mathematics. 12(6). 402–418. 2 indexed citations

14.

Narasimhan, Karthik, Tejas Kulkarni, & Regina Barzilay. (2015). Language Understanding for Text-based Games using Deep Reinforcement Learning. 1–11. 134 indexed citations

15.

Augustine, John, et al.. (2015). Leader Election in Sparse Dynamic Networks with Churn. 16. 347–356. 6 indexed citations

16.

Augustine, John, et al.. (2013). Robust Leader Election in a Fast-Changing World. arXiv (Cornell University). 1 indexed citations

17.

Augustine, John, et al.. (2013). Robust Leader Election in a Fast-Changing World. SHILAP Revista de lepidopterología. 132. 38–49. 7 indexed citations

18.

Ko, Sungahn, Kyung‐Tae Kim, Tejas Kulkarni, & Niklas Elmqvist. (2011). Applying mobile device soft keyboards to collaborative multitouch tabletop displays. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 130–139. 6 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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