Panayiotis Tsaparas

4.4k total citations · 1 hit paper
63 papers, 2.5k citations indexed

About

Panayiotis Tsaparas is a scholar working on Information Systems, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Panayiotis Tsaparas has authored 63 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Information Systems, 33 papers in Artificial Intelligence and 27 papers in Statistical and Nonlinear Physics. Recurrent topics in Panayiotis Tsaparas's work include Complex Network Analysis Techniques (26 papers), Data Management and Algorithms (18 papers) and Spam and Phishing Detection (10 papers). Panayiotis Tsaparas is often cited by papers focused on Complex Network Analysis Techniques (26 papers), Data Management and Algorithms (18 papers) and Spam and Phishing Detection (10 papers). Panayiotis Tsaparas collaborates with scholars based in Greece, United States and Finland. Panayiotis Tsaparas's co-authors include Aristides Gionis, Heikki Mannila, Evimaria Terzi, Allan Borodin, Gareth O. Roberts, Jeffrey S. Rosenthal, Alexandros Ntoulas, Evaggelia Pitoura, Yue Lu and Livia Polanyi and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Knowledge and Data Engineering and BMC Evolutionary Biology.

In The Last Decade

Panayiotis Tsaparas

58 papers receiving 2.3k citations

Hit Papers

Clustering aggregation 2007 2026 2013 2019 2007 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Clustering aggregation
    2007 540 citations Aristides Gionis, Heikki Mannila et al. ACM Transactions on Knowledge Discovery from Data profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Panayiotis Tsaparas Greece 24 1.3k 932 696 540 399 63 2.5k
Feida Zhu Singapore 28 1.5k 1.1× 1.1k 1.2× 731 1.1× 323 0.6× 417 1.0× 103 2.5k
Glen Jeh United States 7 1.3k 1.0× 902 1.0× 1.0k 1.5× 323 0.6× 404 1.0× 7 2.3k
Kuansan Wang United States 23 2.0k 1.5× 960 1.0× 479 0.7× 223 0.4× 502 1.3× 65 3.1k
Sourav S. Bhowmick Singapore 25 1.0k 0.8× 757 0.8× 417 0.6× 634 1.2× 652 1.6× 224 2.4k
Aijun An Canada 29 1.8k 1.4× 1.2k 1.3× 265 0.4× 390 0.7× 256 0.6× 141 3.1k
Sang‐Wook Kim South Korea 29 1.3k 1.0× 1.3k 1.4× 360 0.5× 730 1.4× 598 1.5× 328 3.0k
Jiliang Tang United States 25 2.0k 1.5× 1.6k 1.7× 797 1.1× 345 0.6× 667 1.7× 49 3.5k
Olfa Nasraoui United States 27 1.6k 1.2× 1.2k 1.3× 210 0.3× 503 0.9× 737 1.8× 164 2.9k
Yanghua Xiao China 23 1.3k 0.9× 445 0.5× 466 0.7× 217 0.4× 405 1.0× 168 2.1k
Leman Akoglu United States 28 2.5k 1.9× 1.2k 1.2× 1.1k 1.6× 426 0.8× 354 0.9× 90 3.7k

Countries citing papers authored by Panayiotis Tsaparas

Since Specialization
Citations

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

Fields of papers citing papers by Panayiotis Tsaparas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Panayiotis Tsaparas

This figure shows the co-authorship network connecting the top 25 collaborators of Panayiotis Tsaparas. A scholar is included among the top collaborators of Panayiotis Tsaparas 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 Panayiotis Tsaparas. Panayiotis Tsaparas 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.
Papadakos, Panagiotis, et al.. (2025). Health Misinformation in Social Networks: A Survey of Information Technology Approaches. Future Internet. 17(3). 129–129. 1 indexed citations
2.
3.
Tsaparas, Panayiotis, Timos Sellis, Paolo Papotti, et al.. (2023). Integrity 2023: Integrity in Social Networks and Media. 1269–1270.
4.
Tsaparas, Panayiotis, et al.. (2020). Template-Driven Team Formation. 258–265. 1 indexed citations
5.
Mamoulis, Nikos, et al.. (2017). Fairness in Package-to-Group Recommendations. The HKU Scholars Hub (University of Hong Kong). 371–379. 66 indexed citations
6.
Pitoura, Evaggelia, et al.. (2017). Defining and predicting troll vulnerability in online social media. Social Network Analysis and Mining. 7(1). 13 indexed citations
7.
Tsaparas, Panayiotis, et al.. (2016). Temporal mechanisms of polarization in online reviews. 529–532. 6 indexed citations
8.
Parotsidis, Nikos, Evaggelia Pitoura, & Panayiotis Tsaparas. (2016). Centrality-Aware Link Recommendations. 503–512. 23 indexed citations
9.
Tsaparas, Panayiotis, et al.. (2016). Temporal mechanisms of polarization in online reviews. 529–532. 8 indexed citations
10.
Tsaparas, Panayiotis, et al.. (2014). Deep Sequencing Reveals New Aspects of Progesterone Receptor Signaling in Breast Cancer Cells. PLoS ONE. 9(6). e98404–e98404. 12 indexed citations
11.
Lauw, Hady W., et al.. (2013). Using micro-reviews to select an efficient set of reviews. 1067–1076. 12 indexed citations
12.
Fuxman, Ariel, Anitha Kannan, Andrew B. Goldberg, et al.. (2009). Improving classification accuracy using automatically extracted training data. 1145–1154. 14 indexed citations
13.
Gionis, Aristides, Heikki Mannila, & Panayiotis Tsaparas. (2007). Clustering Aggregation (long version). ACM Transactions on Knowledge Discovery from Data. 1(1). 18 indexed citations
14.
Gionis, Aristides, Heikki Mannila, Taneli Mielikäinen, & Panayiotis Tsaparas. (2006). Assessing data mining results via swap randomization. 167–176. 35 indexed citations
15.
Terzi, Evimaria & Panayiotis Tsaparas. (2006). Efficient algorithms for sequence segmentation. 316–327. 53 indexed citations
16.
Papadimitriou, Spiros, Aristides Gionis, Panayiotis Tsaparas, et al.. (2006). Parameter-Free Spatial Data Mining Using MDL. 346–353. 9 indexed citations
17.
Borodin, Allan, Gareth O. Roberts, Jeffrey S. Rosenthal, & Panayiotis Tsaparas. (2005). Link analysis ranking: algorithms, theory, and experiments. ACM Transactions on Internet Technology. 5(1). 231–297. 180 indexed citations
18.
Tsaparas, Panayiotis. (2004). Using non-linear dynamical systems for web searching and ranking. 59–70. 14 indexed citations
19.
Andritsos, Periklis, Renée J. Miller, & Panayiotis Tsaparas. (2004). Information-theoretic tools for mining database structure from large data sets. 731–742. 42 indexed citations
20.
Borodin, Allan, Gareth O. Roberts, Jeffrey S. Rosenthal, & Panayiotis Tsaparas. (2001). Finding authorities and hubs from link structures on the World Wide Web. 415–429. 140 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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