Saket Sathe

1.7k total citations
33 papers, 685 citations indexed

About

Saket Sathe is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Saket Sathe has authored 33 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 11 papers in Signal Processing. Recurrent topics in Saket Sathe's work include Data Management and Algorithms (11 papers), Anomaly Detection Techniques and Applications (6 papers) and Face and Expression Recognition (5 papers). Saket Sathe is often cited by papers focused on Data Management and Algorithms (11 papers), Anomaly Detection Techniques and Applications (6 papers) and Face and Expression Recognition (5 papers). Saket Sathe collaborates with scholars based in Switzerland, United States and Australia. Saket Sathe's co-authors include Charų C. Aggarwal, Karl Aberer, Dipanjan Chakraborty, Boi Faltings, Lothar Thiele, Guillermo Barrenetxea, Alcherio Martinoli, Hoyoung Jeung, Xiuzhen Zhang and Timos Sellis and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and Knowledge and Information Systems.

In The Last Decade

Saket Sathe

29 papers receiving 653 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saket Sathe Switzerland 13 446 221 132 83 81 33 685
Ángel Conde Spain 9 332 0.7× 136 0.6× 146 1.1× 49 0.6× 118 1.5× 17 595
Tung Kieu Denmark 13 428 1.0× 189 0.9× 394 3.0× 83 1.0× 72 0.9× 19 815
Miao Xie China 17 553 1.2× 669 3.0× 268 2.0× 70 0.8× 180 2.2× 33 1.0k
Piotr Duda Poland 12 453 1.0× 87 0.4× 137 1.0× 52 0.6× 64 0.8× 24 637
Maciej Jaworski Poland 12 448 1.0× 85 0.4× 133 1.0× 50 0.6× 66 0.8× 20 630
Kanishka Bhaduri United States 15 364 0.8× 220 1.0× 120 0.9× 48 0.6× 32 0.4× 29 594
Nguyễn Long Giang Vietnam 14 237 0.5× 154 0.7× 119 0.9× 106 1.3× 76 0.9× 68 751
João P. P. Gomes Brazil 15 321 0.7× 178 0.8× 24 0.2× 98 1.2× 203 2.5× 91 824
Shuang Liang China 21 158 0.4× 544 2.5× 118 0.9× 90 1.1× 39 0.5× 87 1.5k

Countries citing papers authored by Saket Sathe

Since Specialization
Citations

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

Fields of papers citing papers by Saket Sathe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saket Sathe

This figure shows the co-authorship network connecting the top 25 collaborators of Saket Sathe. A scholar is included among the top collaborators of Saket Sathe 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 Saket Sathe. Saket Sathe 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.
Aggarwal, Charų C., et al.. (2019). Improving Spectral Clustering with Deep Embedding and Cluster Estimation. 170–179. 15 indexed citations
2.
Sathe, Saket & Charų C. Aggarwal. (2018). Subspace histograms for outlier detection in linear time. Knowledge and Information Systems. 56(3). 691–715. 23 indexed citations
3.
Sathe, Saket & Charų C. Aggarwal. (2017). Similarity Forests. 395–403. 8 indexed citations
4.
Aggarwal, Charų C. & Saket Sathe. (2017). Outlier Ensembles. 65 indexed citations
5.
Aggarwal, Charų C. & Saket Sathe. (2017). Outlier Ensembles: An Introduction. DIAL (Catholic University of Leuven). 46 indexed citations
6.
Sathe, Saket & Charų C. Aggarwal. (2016). LODES: Local Density Meets Spectral Outlier Detection. 171–179. 37 indexed citations
7.
Aggarwal, Charų C. & Saket Sathe. (2015). Theoretical Foundations and Algorithms for Outlier Ensembles. ACM SIGKDD Explorations Newsletter. 17(1). 24–47. 171 indexed citations
8.
Sathe, Saket, et al.. (2015). Microblogging Queries on Graph Databases. RMIT Research Repository (RMIT University Library). 1–6. 4 indexed citations
9.
Vishwanath, Arun, et al.. (2015). Understanding the performance of solar PV systems using data-driven analytics. 73. 1–6. 4 indexed citations
10.
Guo, Tian, Saket Sathe, & Karl Aberer. (2015). Fast Distributed Correlation Discovery Over Streaming Time-Series Data. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1161–1170. 8 indexed citations
11.
Nguyen, Quoc Viet Hung, et al.. (2014). Towards Enabling Probabilistic Databases for Participatory Sensing. Griffith Research Online (Griffith University, Queensland, Australia). 3 indexed citations
12.
Jeung, Hoyoung, Hua Lu, Saket Sathe, & Man Lung Yiu. (2013). Managing Evolving Uncertainty in Trajectory Databases. IEEE Transactions on Knowledge and Data Engineering. 26(7). 1692–1705. 22 indexed citations
13.
Sathe, Saket & Karl Aberer. (2013). AFFINITY: Efficiently querying statistical measures on time-series data. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 841–852. 7 indexed citations
14.
15.
Sathe, Saket, et al.. (2012). Poster abstract: Effectively modeling data from large-area community sensor networks. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 95–96.
16.
Sathe, Saket, Hoyoung Jeung, & Karl Aberer. (2011). Creating probabilistic databases from imprecise time-series data. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 16. 327–338. 7 indexed citations
17.
Jeung, Hoyoung, et al.. (2010). Effective Metadata Management in Federated Sensor Networks. DORA WSL (Swiss Federal Institute for Forest, Snow and Landscape Research). 107–114. 24 indexed citations
18.
Ioannou, Ekaterini, Saket Sathe, Nicolas Bonvin, et al.. (2009). Entity Search with NECESSITY. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3 indexed citations
19.
Sathe, Saket, et al.. (2009). Efficient Model-driven Query Processing Based on Data Regeneration. Infoscience (Ecole Polytechnique Fédérale de Lausanne).
20.
Sathe, Saket. (2008). Rumor Spreading in LiveJournal. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 5 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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