George Kastrinis

456 total citations
11 papers, 281 citations indexed

About

George Kastrinis is a scholar working on Artificial Intelligence, Software and Computer Networks and Communications. According to data from OpenAlex, George Kastrinis has authored 11 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Software and 4 papers in Computer Networks and Communications. Recurrent topics in George Kastrinis's work include Software Testing and Debugging Techniques (7 papers), Logic, programming, and type systems (5 papers) and Security and Verification in Computing (5 papers). George Kastrinis is often cited by papers focused on Software Testing and Debugging Techniques (7 papers), Logic, programming, and type systems (5 papers) and Security and Verification in Computing (5 papers). George Kastrinis collaborates with scholars based in Greece and United States. George Kastrinis's co-authors include Yannis Smaragdakis, George Balatsouras, Neville Grech and Benjamin Livshits and has published in prestigious journals such as ACM SIGPLAN Notices and DROPS (Schloss Dagstuhl – Leibniz Center for Informatics).

In The Last Decade

George Kastrinis

10 papers receiving 279 citations

Peers

George Kastrinis
Comparison fields: 5 of 17
  • Software 196
  • Artificial Intelligence 155
  • Signal Processing 136
  • Information Systems 128
  • Hardware and Architecture 70
Replace George Balatsouras with:
George Balatsouras Greece
Denis Gopan United States
Aaron Tomb United States
Chrislain Razafimahefa Switzerland
Subhajit Roy India
Johannes Späth Germany
Kyle Dewey United States
Daniele Cono D’Elia Italy
Ju Qian China
Thomas Dullien Switzerland
George Balatsouras Greece View profile →
Citations per field, relative to George Kastrinis
George Kastrinis · 1×
Citations per year, relative to George Kastrinis
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Countries citing papers authored by George Kastrinis

Since Specialization
Citations

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

Fields of papers citing papers by George Kastrinis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Kastrinis

This figure shows the co-authorship network connecting the top 25 collaborators of George Kastrinis. A scholar is included among the top collaborators of George Kastrinis 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 George Kastrinis. George Kastrinis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1 8
2 6
3 16
4 9
5 9
6 81
7
Optimizing Human Computation to Save Time and Money
0
8 17
9 23
10 93
11 19

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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2026