Nikolaos Passalis
- Artificial Intelligence top 1%
- Neural Networks and Reservoir Computing 47
- Domain Adaptation and Few-Shot Learning 26
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- Stock Market Forecasting Methods 22
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- Advanced Neural Network Applications 22
- Advanced Image and Video Retrieval Techniques 19
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- Optical Network Technologies 36
- Photonic and Optical Devices 28
- Advanced Memory and Neural Computing 18
- Finance top 5%
Nikolaos Passalis
139 papers receiving 2.2k citations
Peers
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
Countries citing papers authored by Nikolaos Passalis
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 11 | |
| 5 | 2025 | 3 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 18 | |
| 11 | 2023 | 17 | |
| 12 | 2023 | 12 | |
| 13 | 2022 | 4 | |
| 14 | 2022 | 17 | |
| 15 | 2022 | 45 | |
| 16 | 2022 | 81 | |
| 17 | 2022 | 24 | |
| 18 | 2019 | 163 | |
| 19 | 2018 | 38 | |
| 20 | Probabilistic Knowledge Transfer for Deep Representation Learning. | 2018 | 7 |
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.