K. R. Jayaram

592 total citations
37 papers, 279 citations indexed

About

K. R. Jayaram is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, K. R. Jayaram has authored 37 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 14 papers in Information Systems and 13 papers in Artificial Intelligence. Recurrent topics in K. R. Jayaram's work include Cryptography and Data Security (7 papers), Privacy-Preserving Technologies in Data (7 papers) and Distributed systems and fault tolerance (6 papers). K. R. Jayaram is often cited by papers focused on Cryptography and Data Security (7 papers), Privacy-Preserving Technologies in Data (7 papers) and Distributed systems and fault tolerance (6 papers). K. R. Jayaram collaborates with scholars based in United States, India and Fiji. K. R. Jayaram's co-authors include Patrick Eugster, Minkyong Kim, Han Chen, Hui Lei, Chunyi Peng, Ashish Verma, Tao Shu, Vijay K. Naik, David Safford and Upendra Sharma and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, IBM Journal of Research and Development and ACM Transactions on Computer Systems.

In The Last Decade

K. R. Jayaram

31 papers receiving 263 citations

Peers

K. R. Jayaram

CNC

IS

AI

SP

CVPR

Valerio Schiavoni Switzerland

Sebastian Angel United States

Gabriel Antonio F. Rebello Brazil

Daniel Romero France

Wai Gen Yee United States

Phillip G. Bradford United States

Guglielmo De Angelis Italy

Robert Krahn Germany

Ahmad Ghazal United States

Laurent Réveillère France

Valerio Schiavoni Switzerland

K. R. Jayaram

197 ×1.1

CNC

208 ×1.6

IS

237 ×2.1

AI

31 ×1.2

SP

31 ×1.5

CVPR

Citations per year, relative to K. R. Jayaram K. R. Jayaram (= 1×) peers Valerio Schiavoni

Countries citing papers authored by K. R. Jayaram

Since Specialization

Citations

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

Fields of papers citing papers by K. R. Jayaram

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. R. Jayaram. 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 K. R. Jayaram. The network helps show where K. R. Jayaram may publish in the future.

Co-authorship network of co-authors of K. R. Jayaram

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

All Works

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20 of 20 papers shown

1.

Jayaram, K. R., et al.. (2025). OptiSeq: Ordering Examples On-The-Fly for In-Context Learning. 24864–24887.

2.

Jayaram, K. R., et al.. (2025). On Automating Security Policies with Contemporary LLMs (Short Paper). 77–83. 1 indexed citations

3.

Duesterwald, Evelyn, et al.. (2024). A Conversational Assistant Framework for Automation. 1–7.

4.

Cheng, Pau-Chen, Kevin Eykholt, Zhongshu Gu, et al.. (2024). DeTA: Minimizing Data Leaks in Federated Learning via Decentralized and Trustworthy Aggregation. 219–235. 6 indexed citations

5.

Jayaram, K. R., et al.. (2023). FLIPS. 301–315. 2 indexed citations

6.

Jayaram, K. R., et al.. (2023). Block Chain Based File Tracking and Management System for Pension Applications. 1078–1083.

7.

Jayaram, K. R., et al.. (2022). Just-in-Time Aggregation for Federated Learning. 1–8. 4 indexed citations

8.

Jayaram, K. R., et al.. (2022). Adaptive Aggregation For Federated Learning. 2022 IEEE International Conference on Big Data (Big Data). 180–185. 20 indexed citations

9.

Jayaram, K. R., et al.. (2020). MYSTIKO: Cloud-Mediated, Private, Federated Gradient Descent. 201–210. 3 indexed citations

10.

Chakravorty, Antorweep, Chunming Rong, K. R. Jayaram, & Tao Shu. (2017). Scalable, Efficient Anonymization with INCOGNITO - Framework & Algorithm. 40. 39–48. 4 indexed citations

11.

Jayaram, K. R., et al.. (2017). A review: Information extraction techniques from research papers. 56–59. 16 indexed citations

12.

Jayaram, K. R.. (2016). Exploiting Causality to Engineer Elastic Distributed Software. 232–241. 1 indexed citations

13.

Jayaram, K. R.. (2015). Towards explicitly elastic programming frameworks. International Conference on Software Engineering. 2. 619–622. 3 indexed citations

14.

Jayaram, K. R.. (2015). Towards Explicitly Elastic Programming Frameworks. 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering. 619–622. 2 indexed citations

15.

Jayaram, K. R., David Safford, Upendra Sharma, et al.. (2014). Trustworthy geographically fenced hybrid clouds. 37–48. 19 indexed citations

16.

Jayaram, K. R., Weihang Wang, & Patrick Eugster. (2014). Subscription Normalization for Effective Content-Based Messaging. IEEE Transactions on Parallel and Distributed Systems. 26(11). 3184–3193. 3 indexed citations

17.

Holzer, Adrian, Lukasz Ziarek, K. R. Jayaram, & Patrick Eugster. (2011). Putting events in context. PolyPublie (École Polytechnique de Montréal). 241–252. 5 indexed citations

18.

Jayaram, K. R. & Patrick Eugster. (2011). Split and Subsume: Subscription Normalization for Effective Content-Based Messaging. 8. 824–835. 9 indexed citations

19.

Jayaram, K. R., et al.. (2010). Parametric subscriptions for content-based publish/subscribe networks. 6452. 128–147. 26 indexed citations

20.

Jayaram, K. R., K. Sankaranarayanasamy, Shivaram P. Arunachalam, & Tom Page. (2010). A Neural Network Approach to Tolerance Synthesis and Cost Optimisation in Assembly. 5(2). 9–16. 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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