Nikolaos Passalis

4.2k citations
155 papers · 2.2k indexed · h-index 25

Nikolaos Passalis

139 papers receiving 2.2k citations

Peers

Nikolaos Passalis
Comparison fields: 5 of 123
  • Artificial Intelligence 1.3k
  • Management Science and Operations Research 439
  • Computer Vision and Pattern Recognition 474
  • Electrical and Electronic Engineering 1.0k
  • Finance 154
Replace Vasilios N. Katsikis with:
Vasilios N. Katsikis Greece
J.A. Bucklew United States
Süleyman S. Kozat Türkiye
Ka Fai Cedric Yiu Hong Kong
Jacek Gondzio United Kingdom
David P. Helmbold United States
Aditya Mahajan Canada
Zhaosong Lu Canada
Lorenzo Livi Italy
Nikolaos Passalis relative to Vasilios N. Katsikis Greece Vasilios N. Katsikis's profile →
Citations per field
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Vasilios N. Katsikis · 1×
Citations per year

Countries citing papers authored by Nikolaos Passalis

Since Specialization
Citations

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

Fields of papers citing papers by Nikolaos Passalis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Nikolaos Passalis, 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 Nikolaos Passalis Line = papers co-authored together Nikolaos Passalis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
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3 20251
4 202511
5 20253
6 20242
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10 202318
11 202317
12 202312
13 20224
14 202217
15 202245
16 202281
17 202224
18 2019163
19 201838
20
Probabilistic Knowledge Transfer for Deep Representation Learning.
20187

About Nikolaos Passalis

Nikolaos Passalis is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 155 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (47 papers), Optical Network Technologies (36 papers), Photonic and Optical Devices (28 papers), Domain Adaptation and Few-Shot Learning (26 papers), Stock Market Forecasting Methods (22 papers), Advanced Neural Network Applications (22 papers), Advanced Image and Video Retrieval Techniques (19 papers) and Advanced Memory and Neural Computing (18 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Management Science and Operations Research (439 citations) and Computer Vision and Pattern Recognition (474 citations). Nikolaos Passalis has collaborated with scholars based in Greece, Finland and Denmark. Frequent co-authors include Anastasios Tefas, Nikos Pleros, Moncef Gabbouj, Avraam Tsantekidis, George Mourgias-Alexandris, Alexandros Iosifidis, Apostolos Tsakyridis, Juho Kanniainen, Manos Kirtas and Angelina Totović. Their work appears in journals such as Nature Communications, Optics Letters and Optics Express.

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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