Panagiotis Karras

3.0k total citations · 2 hit papers
87 papers, 1.6k citations indexed

About

Panagiotis Karras is a scholar working on Artificial Intelligence, Signal Processing and Statistical and Nonlinear Physics. According to data from OpenAlex, Panagiotis Karras has authored 87 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 29 papers in Signal Processing and 17 papers in Statistical and Nonlinear Physics. Recurrent topics in Panagiotis Karras's work include Data Management and Algorithms (24 papers), Complex Network Analysis Techniques (17 papers) and Privacy-Preserving Technologies in Data (14 papers). Panagiotis Karras is often cited by papers focused on Data Management and Algorithms (24 papers), Complex Network Analysis Techniques (17 papers) and Privacy-Preserving Technologies in Data (14 papers). Panagiotis Karras collaborates with scholars based in Denmark, Singapore and United States. Panagiotis Karras's co-authors include Abraham Bernstein, Cathrin Weiß, Nikos Mamoulis, Jianneng Cao, Gabriel Ghinita, Panos Kalnis, Stéphane Bressan, Elena‐Simona Apostol, Ciprian‐Octavian Truică and Nectarios Koziris and has published in prestigious journals such as IEEE Access, Wear and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Panagiotis Karras

80 papers receiving 1.5k citations

Hit Papers

Hexastore 2008 2026 2014 2020 2008 2024 100 200 300
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. Hexastore
    2008 345 citations Panagiotis Karras et al. Proceedings of the VLDB Endowment profile →
  2. DANES: Deep Neural Network Ensemble Architecture for Social and Textual Context-aware Fake News Detection
    2024 37 citations Panagiotis Karras et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Panagiotis Karras Denmark 21 1.0k 539 463 339 307 87 1.6k
H. Kargupta United States 17 1.2k 1.2× 434 0.8× 205 0.4× 169 0.5× 279 0.9× 33 1.6k
HweeHwa Pang Singapore 21 984 0.9× 651 1.2× 337 0.7× 248 0.7× 699 2.3× 88 1.6k
Lidan Shou China 18 479 0.5× 260 0.5× 324 0.7× 227 0.7× 275 0.9× 110 1.2k
Nina Mishra United States 18 839 0.8× 233 0.4× 147 0.3× 105 0.3× 188 0.6× 37 1.2k
Jagan Sankaranarayanan United States 18 504 0.5× 542 1.0× 1.0k 2.2× 316 0.9× 529 1.7× 50 1.9k
Yonglong Luo China 17 491 0.5× 257 0.5× 165 0.4× 294 0.9× 296 1.0× 110 1.1k
Yingxia Shao China 22 1.1k 1.0× 287 0.5× 139 0.3× 574 1.7× 418 1.4× 84 1.5k
Sibo Wang China 18 460 0.4× 394 0.7× 376 0.8× 307 0.9× 197 0.6× 100 1.2k
Carol Fung United States 22 656 0.6× 1.2k 2.2× 369 0.8× 106 0.3× 424 1.4× 109 1.6k
Jun Xu United States 32 1.2k 1.2× 2.4k 4.4× 365 0.8× 197 0.6× 345 1.1× 132 2.9k

Countries citing papers authored by Panagiotis Karras

Since Specialization
Citations

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

Fields of papers citing papers by Panagiotis Karras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Panagiotis Karras

This figure shows the co-authorship network connecting the top 25 collaborators of Panagiotis Karras. A scholar is included among the top collaborators of Panagiotis Karras 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 Panagiotis Karras. Panagiotis Karras 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.
Truong, Tam T., et al.. (2025). Image-based machine learning model for tool wear estimation in milling Inconel 718. Wear. 571. 205865–205865. 4 indexed citations
2.
Karras, Panagiotis, et al.. (2024). Adaptive Content-Aware Influence Maximization via Online Learning to Rank. ACM Transactions on Knowledge Discovery from Data. 18(6). 1–35. 2 indexed citations
3.
Li, Yuchen, et al.. (2024). Discovering Personalized Characteristic Communities in Attributed Graphs. Research at the University of Copenhagen (University of Copenhagen). 2834–2847. 3 indexed citations
4.
Karras, Panagiotis, et al.. (2024). FUGAL: Feature-fortified Unrestricted Graph Alignment. 19523–19546.
5.
Sasaki, Yuya, et al.. (2023). Holistic Prediction on a Time-Evolving Attributed Graph. Scopus (Elsevier). 13676–13694. 1 indexed citations
6.
Wu, Siyuan, Leong Hou U, & Panagiotis Karras. (2023). k-Best Egalitarian Stable Marriages for Task Assignment. Proceedings of the VLDB Endowment. 16(11). 3240–3252. 1 indexed citations
7.
Chatzopoulos, Serafeim, Thanasis Vergoulis, Dimitrios Skoutas, et al.. (2023). Atrapos: Real-time Evaluation of Metapath Query Workloads. 2487–2498. 3 indexed citations
8.
Cuzzocrea, Alfredo, Panagiotis Karras, & Akrivi Vlachou. (2021). Effective and efficient skyline query processing over attribute-order-preserving-free encrypted data in cloud-enabled databases. Future Generation Computer Systems. 126. 237–251. 16 indexed citations
9.
Li, Yuchen, et al.. (2021). On the Robustness of Diffusion in a Network Under Node Attacks. IEEE Transactions on Knowledge and Data Engineering. 34(12). 5884–5895. 4 indexed citations
10.
Mottin, Davide, et al.. (2021). Boosting Graph Alignment Algorithms. Scopus (Elsevier). 3166–3170. 3 indexed citations
11.
Tsitsulin, Anton, et al.. (2021). FREDE. Proceedings of the VLDB Endowment. 14(6). 1102–1110. 26 indexed citations
12.
Giannakopoulos, Ioannis, et al.. (2019). Equitable Stable Matchings in Quadratic Time. Neural Information Processing Systems. 32. 457–467. 2 indexed citations
13.
Karras, Panagiotis, et al.. (2019). An Experimental Study on Network Immunization. Movebank. 6 indexed citations
14.
Wu, Huayu, et al.. (2016). Fuzzy trajectory linking. 859–870. 6 indexed citations
15.
Giannakopoulos, Ioannis, et al.. (2015). An Equitable Solution to the Stable Marriage Problem. 989–996. 10 indexed citations
16.
Cuzzocrea, Alfredo, et al.. (2014). Skyline Query Processing over Encrypted Data. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). 37–43. 18 indexed citations
17.
Papailiou, Nikolaos, Dimitrios Tsoumakos, Ioannis Konstantinou, Panagiotis Karras, & Nectarios Koziris. (2014). H 2 RDF+. 909–912. 23 indexed citations
18.
Li, Xiaohui, Panagiotis Karras, Lei Shi, Kian‐Lee Tan, & Christian S. Jensen. (2012). Cooperative Scalable Moving Continuous Query Processing. National University of Singapore. 69–78. 3 indexed citations
19.
Karras, Panagiotis, et al.. (2010). Local Search in Histogram Construction. Proceedings of the AAAI Conference on Artificial Intelligence. 24(1). 1680–1685. 1 indexed citations
20.
Karras, Panagiotis & Nikos Mamoulis. (2005). One-pass wavelet synopses for maximum-error metrics. Very Large Data Bases. 421–432. 47 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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