Sathiya Keerthi

434 total citations
19 papers, 257 citations indexed

About

Sathiya Keerthi is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Sathiya Keerthi has authored 19 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Information Systems and 4 papers in Computer Networks and Communications. Recurrent topics in Sathiya Keerthi's work include Web Data Mining and Analysis (3 papers), Topic Modeling (2 papers) and Software System Performance and Reliability (2 papers). Sathiya Keerthi is often cited by papers focused on Web Data Mining and Analysis (3 papers), Topic Modeling (2 papers) and Software System Performance and Reliability (2 papers). Sathiya Keerthi collaborates with scholars based in United States, India and United Kingdom. Sathiya Keerthi's co-authors include Wei Chu, Nilesh Dalvi, Philip Bohannon, Xiuju Fu, Ravi Kumar, Daniel Johnson, Raghu Ramakrishnan, Éric Gilbert, Bo Pang and Andrew Tomkins and has published in prestigious journals such as International Journal of Communication Systems, International Journal of Engineering Trends and Technology and Meeting of the Association for Computational Linguistics.

In The Last Decade

Sathiya Keerthi

15 papers receiving 236 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sathiya Keerthi United States 8 161 76 61 38 30 19 257
Minyong Shi China 10 115 0.7× 84 1.1× 55 0.9× 13 0.3× 58 1.9× 74 294
Amal El Fallah Seghrouchni France 9 191 1.2× 74 1.0× 107 1.8× 14 0.4× 48 1.6× 48 312
Carlos Brito Brazil 8 87 0.5× 39 0.5× 156 2.6× 29 0.8× 21 0.7× 26 301
Andrey Kolobov United States 12 410 2.5× 30 0.4× 101 1.7× 64 1.7× 51 1.7× 25 503
Matthias Reif Germany 8 242 1.5× 39 0.5× 62 1.0× 11 0.3× 38 1.3× 9 319
Michael Hinman United States 8 218 1.4× 80 1.1× 83 1.4× 42 1.1× 28 0.9× 16 332
Zhiyun Zheng China 13 179 1.1× 128 1.7× 75 1.2× 14 0.4× 33 1.1× 37 361
Jiabin Liu China 11 174 1.1× 46 0.6× 79 1.3× 39 1.0× 84 2.8× 33 300
Nevena Lazic United States 9 255 1.6× 36 0.5× 35 0.6× 82 2.2× 84 2.8× 15 397

Countries citing papers authored by Sathiya Keerthi

Since Specialization
Citations

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

Fields of papers citing papers by Sathiya Keerthi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sathiya Keerthi

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

All Works

19 of 19 papers shown
1.
Keerthi, Sathiya, et al.. (2026). A Federated Learning–Enabled Secure and Scalable SDN Framework for Energy‐Efficient VANETs. International Journal of Communication Systems. 39(4).
2.
Borisyuk, Fedor, et al.. (2024). LiMAML: Personalization of Deep Recommender Models via Meta Learning. 5882–5892.
3.
4.
Keerthi, Sathiya, et al.. (2023). A Review on Brain Tumor Prediction using Deep Learning. 155–160. 3 indexed citations
5.
Keerthi, Sathiya, et al.. (2017). Classification of tooth type from dental X-ray image using projection profile analysis. 10. 394–398. 3 indexed citations
6.
Keerthi, Sathiya, et al.. (2017). Analysis on diabetes patients using Pearson, cost optimization, control chart. 9. 1139–1142. 1 indexed citations
7.
Keerthi, Sathiya, et al.. (2016). Topological Optimization of a Refrigerator Bed. 7(3). 1 indexed citations
8.
Mahajan, Dhruv, et al.. (2016). Hashtag Recommendation for Enterprise Applications. 893–902. 2 indexed citations
9.
Keerthi, Sathiya, et al.. (2015). Survey Paper on Swarm Intelligence. International Journal of Computer Applications. 115(5). 8–12. 12 indexed citations
10.
Nair, Vinod, et al.. (2015). Near Real-Time Service Monitoring Using High-Dimensional Time Series. 1624–1627. 2 indexed citations
11.
Keerthi, Sathiya, et al.. (2015). Infrared Thermal Image Segmentation for Fault Detection in Electrical Circuits Using Watershed Algorithm. International Journal of Engineering Trends and Technology. 21(9). 423–429. 4 indexed citations
12.
Nair, Vinod, et al.. (2015). Learning a Hierarchical Monitoring System for Detecting and Diagnosing Service Issues. 2029–2038. 36 indexed citations
13.
Huang, Zhiheng, Yi Chang, Bo Long, et al.. (2012). Iterative Viterbi A* Algorithm for K-Best Sequential Decoding. Meeting of the Association for Computational Linguistics. 611–619. 11 indexed citations
14.
Bohannon, Philip, et al.. (2012). Automatic web-scale information extraction. 609–612. 15 indexed citations
15.
Geng, Xiubo, et al.. (2012). A simple approach to the design of site-level extractors using domain-centric principles. 1517–1521. 2 indexed citations
16.
Dalvi, Nilesh, Ravi Kumar, Bo Pang, et al.. (2009). A web of concepts. 1–12. 58 indexed citations
17.
Keerthi, Sathiya & Wei Chu. (2005). A matching pursuit approach to sparse Gaussian process regression. Neural Information Processing Systems. 18. 643–650. 41 indexed citations
18.
Gilbert, Éric, Daniel Johnson, & Sathiya Keerthi. (2005). A fast procedure for computing the distance between complex objects in three space. 4. 1883–1889. 20 indexed citations
19.
Fu, Xiuju, et al.. (2005). Extracting the knowledge embedded in support vector machines. 291–296. 46 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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