Charalampos E. Tsourakakis

46 papers receiving 2.3k citations

Hit Papers

PEGASUS: A Peta-Scale Graph Mining System Implementation ...20092026201420202009100200300400

Peers

Charalampos E. Tsourakakis
Comparison fields: 5 of 82
  • Computer Vision and Pattern Recognition 1.2k
  • Artificial Intelligence 1.1k
  • Statistical and Nonlinear Physics 1.0k
  • Computer Networks and Communications 747
  • Information Systems 568
Replace Taher H. Haveliwala with:
Taher H. Haveliwala United States
Andrej Krevl Slovenia
Tamás Sarlós United States
Rasmus Pagh Denmark
Jérôme Kunegis Germany
Hisao Tamaki Japan
Bimal Viswanath United States
Shlomo Moran Israel
Massimo Santini Italy
Venkatesan Guruswami United States
Charalampos E. Tsourakakis relative to Taher H. Haveliwala United States Taher H. Haveliwala's profile →
Citations per field
00.5×3.3×
Taher H. Haveliwala · 1×
Citations per year

Countries citing papers authored by Charalampos E. Tsourakakis

Since Specialization
Citations

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

Fields of papers citing papers by Charalampos E. Tsourakakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charalampos E. Tsourakakis. 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 Charalampos E. Tsourakakis. The network helps show where Charalampos E. Tsourakakis may publish in the future.

Co-authorship network of co-authors of Charalampos E. Tsourakakis

This figure shows the co-authorship network connecting the top 25 collaborators of Charalampos E. Tsourakakis. A scholar is included among the top collaborators of Charalampos E. Tsourakakis 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 Charalampos E. Tsourakakis. Charalampos E. Tsourakakis 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
#WorkIndexed citations
1 0
2 4
3 34
4 4
5 6
6
Node Embeddings and Exact Low-Rank Representations of Complex Networks
1
7 27
8 0
9
Inferring Networks From Random Walk-Based Node Similarities
1
10 21
11 11
12 222
13 9
14 8
15
Rainbow Connectivity of $G(n,p)$ at the connectivity threshold
2
16 63
17 95
18
PEGASUS: A Peta-Scale Graph Mining System Implementation and Observationsbreakdown →
426
19 144
20 43

About Charalampos E. Tsourakakis

Charalampos E. Tsourakakis is a scholar working on Computational Mathematics, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 51 papers that have together received 2.4k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (28 papers), Advanced Graph Neural Networks (17 papers) and Graph Theory and Algorithms (15 papers). The work is most often cited by research in Computational Mathematics (65 citations), Statistical and Nonlinear Physics (1.0k citations) and Computer Vision and Pattern Recognition (1.2k citations). Charalampos E. Tsourakakis has collaborated with scholars based in United States, Finland and Italy. Frequent co-authors include Christos Faloutsos, U Kang, Gary L. Miller, Aristides Gionis, Božidar Radunović, Christos Gkantsidis, Milan Vojnović, Rasmus Pagh, Francesco Bonchi and Francesco Gullo. Their work appears in journals such as Bioinformatics, Scientific Reports and IEEE Transactions on Knowledge and Data Engineering.

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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