Yannis Katsis

813 total citations
31 papers, 299 citations indexed

About

Yannis Katsis is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Yannis Katsis has authored 31 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 6 papers in Signal Processing. Recurrent topics in Yannis Katsis's work include Topic Modeling (12 papers), Natural Language Processing Techniques (8 papers) and Advanced Database Systems and Queries (7 papers). Yannis Katsis is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (8 papers) and Advanced Database Systems and Queries (7 papers). Yannis Katsis collaborates with scholars based in United States, Germany and Greece. Yannis Katsis's co-authors include Marina Danilevsky, Kun Qian, Ban Kawas, Ranit Aharonov, Prithviraj Sen, Chun‐Nan Hsu, Yannis Papakonstantinou, Ho‐Cheol Kim, Lucian Popa and Raghav Mehta and has published in prestigious journals such as Microbiome, Proceedings of the VLDB Endowment and ACM Transactions on Database Systems.

In The Last Decade

Yannis Katsis

27 papers receiving 285 citations

Peers

Yannis Katsis
Comparison fields: 5 of 77
  • Artificial Intelligence 193
  • Molecular Biology 55
  • Information Systems 49
  • Computer Networks and Communications 37
  • Management Science and Operations Research 28
Replace Md Momin Al Aziz with:
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Pascal Berrang Germany
Tomáš Kliegr Czechia
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Katikapalli Subramanyam Kalyan India
Marianne Cherrington New Zealand
Ashwin Paranjape United States
Lavanya Elluri United States
Fotis Aisopos Greece
Md Momin Al Aziz Canada View profile →
Citations per field, relative to Yannis Katsis
Yannis Katsis · 1×
Citations per year, relative to Yannis Katsis
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Countries citing papers authored by Yannis Katsis

Since Specialization
Citations

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

Fields of papers citing papers by Yannis Katsis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yannis Katsis

This figure shows the co-authorship network connecting the top 25 collaborators of Yannis Katsis. A scholar is included among the top collaborators of Yannis Katsis 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 Yannis Katsis. Yannis Katsis 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
# Work Indexed citations
1 0
2 2
3 1
4 18
5 4
6 5
7 2
8 3
9 0
10 13
11 103
12 9
13 33
14 5
15
NormCo: Deep Disease Normalization for Biomedical Knowledge Base Construction
22
16 10
17 2
18 5
19 3
20 2

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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