Nicholas Kolokotronis

1.3k citations
64 papers · 544 indexed · h-index 11

Nicholas Kolokotronis

57 papers receiving 515 citations

Peers

Nicholas Kolokotronis
Comparison fields: 5 of 61
  • Signal Processing 111
  • Information Systems 221
  • Computer Networks and Communications 214
  • Artificial Intelligence 224
  • Computer Vision and Pattern Recognition 76
Replace Jan Hajný with:
Jan Hajný Czechia
Alzubair Hassan China
Rolando Trujillo-Rasúa Australia
David Vengerov United States
Muzammil Shahbaz United Kingdom
Longfei Qiu United States
Charalampos Manifavas Greece
Cosimo Anglano Italy
Branislav Kveton United States
Nicholas Kolokotronis relative to Jan Hajný Czechia Jan Hajný's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nicholas Kolokotronis

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Kolokotronis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Nicholas Kolokotronis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nicholas Kolokotronis Line = papers co-authored together Nicholas Kolokotronis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20233
3 20230
4 202383
5 20239
6 20230
7 20223
8 20222
9 20223
10 202118
11 202121
12 20203
13 20179
14 20162
15 20156
16 20145
17 20135
18 20112
19 20112
20 20098

About Nicholas Kolokotronis

Nicholas Kolokotronis is a scholar working on Signal Processing, Artificial Intelligence, Information Systems, Computer Networks and Communications and Computational Theory and Mathematics, having authored 64 papers that have together received 544 indexed citations. Recurring topics across this work include Coding theory and cryptography (23 papers), graph theory and CDMA systems (15 papers), Information and Cyber Security (10 papers), Advanced Malware Detection Techniques (10 papers), Wireless Communication Security Techniques (7 papers), Cryptographic Implementations and Security (7 papers), Cellular Automata and Applications (7 papers) and Network Security and Intrusion Detection (6 papers). The work is most often cited by research in Signal Processing (111 citations), Information Systems (221 citations), Computer Networks and Communications (214 citations), Artificial Intelligence (224 citations) and Computer Vision and Pattern Recognition (76 citations). Nicholas Kolokotronis has collaborated with scholars based in Greece, United Kingdom and Cyprus. Frequent co-authors include Stavros Shiaeles, N. Kalouptsidis, Konstantinos Limniotis, Gueltoum Bendiab, Panagiotis Rizomiliotis, Costas Vassilakis, Sergios Theodoridis, D. Cavouras, Eleftherios Kofidis and Charilaos C. Zarakovitis. Their work appears in journals such as IEEE Transactions on Information Theory, Electronics, Cryptography and Communications, Designs Codes and Cryptography and Benchmarking An International Journal.

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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