Saravanan Thirumuruganathan

1.8k total citations
62 papers, 831 citations indexed

About

Saravanan Thirumuruganathan is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Saravanan Thirumuruganathan has authored 62 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 24 papers in Information Systems and 24 papers in Signal Processing. Recurrent topics in Saravanan Thirumuruganathan's work include Data Management and Algorithms (20 papers), Data Quality and Management (14 papers) and Web Data Mining and Analysis (10 papers). Saravanan Thirumuruganathan is often cited by papers focused on Data Management and Algorithms (20 papers), Data Quality and Management (14 papers) and Web Data Mining and Analysis (10 papers). Saravanan Thirumuruganathan collaborates with scholars based in United States, Canada and Qatar. Saravanan Thirumuruganathan's co-authors include Gautam Das, Mourad Ouzzani, Nan Tang, Sihem Amer-Yahia, Senjuti Basu Roy, Nick Koudas, Shafiq Joty, Shohedul Hasan, Ioanna Lykourentzou and Abolfazl Asudeh and has published in prestigious journals such as Expert Systems with Applications, Information & Management and Proceedings of the VLDB Endowment.

In The Last Decade

Saravanan Thirumuruganathan

58 papers receiving 801 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saravanan Thirumuruganathan United States 16 436 304 209 196 158 62 831
Kostas Stefanidis Greece 19 470 1.1× 337 1.1× 314 1.5× 428 2.2× 259 1.6× 93 934
Haggai Roitman Israel 19 478 1.1× 114 0.4× 124 0.6× 402 2.1× 130 0.8× 75 869
Azin Ashkan Canada 13 452 1.0× 235 0.8× 213 1.0× 669 3.4× 124 0.8× 22 1.0k
Yudian Zheng China 17 874 2.0× 368 1.2× 171 0.8× 285 1.5× 125 0.8× 29 1.4k
Pável Calado Portugal 22 703 1.6× 128 0.4× 140 0.7× 625 3.2× 213 1.3× 64 1.2k
Marcel Karnstedt Germany 12 382 0.9× 83 0.3× 456 2.2× 248 1.3× 162 1.0× 53 788
Dhruv Gupta Germany 8 404 0.9× 178 0.6× 171 0.8× 765 3.9× 142 0.9× 27 1.1k
Giuseppe Polese Italy 20 508 1.2× 184 0.6× 186 0.9× 373 1.9× 118 0.7× 89 983
Jon Herlocker United States 7 382 0.9× 178 0.6× 216 1.0× 1.1k 5.5× 149 0.9× 11 1.3k

Countries citing papers authored by Saravanan Thirumuruganathan

Since Specialization
Citations

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

Fields of papers citing papers by Saravanan Thirumuruganathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saravanan Thirumuruganathan

This figure shows the co-authorship network connecting the top 25 collaborators of Saravanan Thirumuruganathan. A scholar is included among the top collaborators of Saravanan Thirumuruganathan 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 Saravanan Thirumuruganathan. Saravanan Thirumuruganathan 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.
Thirumuruganathan, Saravanan, et al.. (2023). The Art of Losing to Win: Using Lossy Image Compression to Improve Data Loading in Deep Learning Pipelines. 936–949. 1 indexed citations
2.
Salminen, Joni, et al.. (2022). Big Data, Small Personas: How Algorithms Shape the Demographic Representation of Data-Driven User Segments. Big Data. 10(4). 313–336. 6 indexed citations
3.
Asudeh, Abolfazl, et al.. (2022). Fair active learning. Expert Systems with Applications. 199. 116981–116981. 14 indexed citations
4.
Nazi, Azade, Saravanan Thirumuruganathan, Vagelis Hristidis, Nan Zhang, & Gautam Das. (2021). Answering Complex Queries in an Online Community Network. Proceedings of the International AAAI Conference on Web and Social Media. 9(1). 662–665.
5.
Yang, Ke, Xiaosong Ma, Saravanan Thirumuruganathan, Kang Chen, & Yongwei Wu. (2021). Random Walks on Huge Graphs at Cache Efficiency. 311–326. 16 indexed citations
6.
Thirumuruganathan, Saravanan, Nan Tang, Mourad Ouzzani, & AnHai Doan. (2020). Data Curation with Deep Learning. Movebank. 15 indexed citations
7.
Thirumuruganathan, Saravanan, Shohedul Hasan, Nick Koudas, & Gautam Das. (2020). Approximate Query Processing for Data Exploration using Deep Generative Models. 1309–1320. 29 indexed citations
8.
Chu, Xu, et al.. (2019). AutoER: Automated Entity Resolution using Generative Modelling.. arXiv (Cornell University). 1 indexed citations
9.
Lakshmanan, Laks V. S., Michael Simpson, & Saravanan Thirumuruganathan. (2019). Combating fake news. Proceedings of the VLDB Endowment. 12(12). 1990–1993. 11 indexed citations
10.
Salam, Md. Abdus, et al.. (2019). A Human-in-the-loop Attribute Design Framework for Classification. 1612–1622. 6 indexed citations
11.
Asudeh, Abolfazl, Azade Nazi, Saravanan Thirumuruganathan, et al.. (2019). Scalable algorithms for signal reconstruction by leveraging similarity joins. The VLDB Journal. 29(2-3). 681–707.
12.
Thirumuruganathan, Saravanan, et al.. (2018). Distributed representations of tuples for entity resolution. Very Large Data Bases. 11(11). 1454–1467. 97 indexed citations
13.
Thirumuruganathan, Saravanan, et al.. (2018). Efficient construction of approximate ad-hoc ML models through materialization and reuse. Very Large Data Bases. 11(11). 1468–1481. 5 indexed citations
14.
Thirumuruganathan, Saravanan, et al.. (2018). An Empirical Study of Questionnaires for the Diagnosis of Pediatric Obstructive Sleep Apnea. PubMed. 2018. 4097–4100. 10 indexed citations
15.
Thirumuruganathan, Saravanan, et al.. (2017). Density Based Clustering over Location Based Services. 461–472. 7 indexed citations
16.
Thirumuruganathan, Saravanan, et al.. (2016). ANALOC: Efficient analytics over Location Based Services. 1366–1369. 8 indexed citations
17.
Lu, Yachao, Saravanan Thirumuruganathan, Nan Zhang, & Gautam Das. (2015). Hidden Database Research and Analytics (HYDRA) System .. IEEE Data(base) Engineering Bulletin. 38. 84–102. 3 indexed citations
18.
Nazi, Azade, Saravanan Thirumuruganathan, Vagelis Hristidis, et al.. (2014). Query Hidden Attributes in Social Networks. Qatar University QSpace (Qatar University). 12. 886–891. 2 indexed citations
19.
Thirumuruganathan, Saravanan, Nan Zhang, & Gautam Das. (2013). Rank discovery from web databases. Proceedings of the VLDB Endowment. 6(13). 1582–1593. 2 indexed citations
20.
Thirumuruganathan, Saravanan & Manfred Huber. (2011). Building Bayesian Network based expert systems from rules. 3002–3008. 10 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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