Nikolaos Passalis

4.2k total citations
155 papers, 2.2k citations indexed

About

Nikolaos Passalis is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nikolaos Passalis has authored 155 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Artificial Intelligence, 63 papers in Electrical and Electronic Engineering and 59 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nikolaos Passalis's work include Neural Networks and Reservoir Computing (47 papers), Optical Network Technologies (36 papers) and Photonic and Optical Devices (28 papers). Nikolaos Passalis is often cited by papers focused on Neural Networks and Reservoir Computing (47 papers), Optical Network Technologies (36 papers) and Photonic and Optical Devices (28 papers). Nikolaos Passalis collaborates with scholars based in Greece, Finland and Denmark. Nikolaos Passalis's 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 and has published in prestigious journals such as Nature Communications, Optics Letters and Optics Express.

In The Last Decade

Nikolaos Passalis

139 papers receiving 2.2k citations

Peers

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 of co-authors of Nikolaos Passalis

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Photonic Kolmogorov-Arnold networks based on self-phase modulation in nonlinear waveguides 2026 ·Optics Letters ·(unknown), (unknown), Stavros Deligiannidis, (unknown), Nikolaos Passalis, (unknown), Charis Mesaritakis, (unknown), Adonis Bogris	0
2	Sign potential-driven multiplicative optimization for robust deep reinforcement learning 2025 ·Neural Networks ·(unknown), Manos Kirtas, Nikolaos Passalis, Anastasios Tefas	0
3	A 262 TOPS hyperdimensional photonic AI accelerator powered by a Si3N4 microcomb laser 2025 ·APL Photonics ·Christos Pappas, (unknown), (unknown), Manos Kirtas, (unknown), Apostolos Tsakyridis, Miltiadis Moralis‐Pegios, Christos Vagionas, Nikolaos Passalis, (unknown), (unknown), Alain Yuji Takabayashi, J. D. Jost, Maxim Karpov, Anastasios Tefas, Nikos Pleros	1
4	A deep learning framework for photovoltaic power forecasting in multiple interconnected countries 2025 ·Sustainable Energy Technologies and Assessments ·Christos N. Dimitriadis, Nikolaos Passalis, Michael C. Georgiadis	11
5	Enhancing industrial scheduling through machine learning: A synergistic approach with predictive modeling and clustering 2025 ·Computers & Chemical Engineering ·(unknown), Nikolaos Passalis, (unknown), Michael C. Georgiadis	3
6	Robotic safe adaptation in unprecedented situations: the RoboSAPIENS project 2024 ·Peter Gorm Larsen, Shaukat Ali, (unknown), Ana Cavalcanti, Cláudio Gomes, Guoyuan Li, Paul De Meulenaere, (unknown), Nikolaos Passalis, (unknown), J Tapia, Anastasios Tefas, Houxiang Zhang	2
7	Vpit: real-time embedded single object 3D tracking using voxel pseudo images 2024 ·Neural Computing and Applications ·(unknown), Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis	0
8	Predicting the immunomodulatory activity of probiotic lactic acid bacteria using supervised machine learning in a Cornu aspersum snail model 2024 ·Fish & Shellfish Immunology ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Nikolaos Passalis, Anastasios Tefas, Αλεξάνδρα Στάικου, Minas Yiangou	4
9	Bi-Directional Knowledge Transfer For Continual Deep Reinforcement Learning in Financial Trading 2024 ·(unknown), Nikolaos Passalis, Anastasios Tefas	0
10	Deep residual networks for gravitational wave detection 2023 ·Physical review. D ·Paraskevi Nousi, (unknown), Nikolaos Passalis, P. Iosif, Nikolaos Stergioulas, Anastasios Tefas	18
11	Deep reinforcement learning for financial trading using multi-modal features 2023 ·Expert Systems with Applications ·(unknown), Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas	17
12	Mixed-precision quantization-aware training for photonic neural networks 2023 ·Neural Computing and Applications ·Manos Kirtas, Nikolaos Passalis, (unknown), Miltiadis Moralis‐Pegios, George Giamougiannis, Apostolos Tsakyridis, George Mourgias-Alexandris, Nikos Pleros, Anastasios Tefas	12
13	Silicon Photonic Neuromorphic Computing with 16 GHz Input Data and Weight Update Line Rates 2022 ·Conference on Lasers and Electro-Optics ·Apostolos Tsakyridis, George Giamougiannis, George Mourgias-Alexandris, Angelina Totović, George Dabos, Nikolaos Passalis, Manos Kirtas, Anastasios Tefas, Miltiadis Moralis‐Pegios, Nikos Pleros	4
14	Channel response-aware photonic neural network accelerators for high-speed inference through bandwidth-limited optics 2022 ·Optics Express ·George Mourgias-Alexandris, Miltiadis Moralis‐Pegios, Apostolos Tsakyridis, Nikolaos Passalis, Manos Kirtas, Anastasios Tefas, Teerapat Rutirawut, Frédéric Y. Gardes, Nikos Pleros	17
15	Neuromorphic Silicon Photonics and Hardware-Aware Deep Learning for High-Speed Inference 2022 ·Journal of Lightwave Technology ·Miltiadis Moralis‐Pegios, George Mourgias-Alexandris, Apostolos Tsakyridis, George Giamougiannis, Angelina Totović, George Dabos, Nikolaos Passalis, Manos Kirtas, Teerapat Rutirawut, Frédéric Y. Gardes, Anastasios Tefas, Nikos Pleros	45
16	Noise-resilient and high-speed deep learning with coherent silicon photonics 2022 ·Nature Communications ·George Mourgias-Alexandris, Miltiadis Moralis‐Pegios, Apostolos Tsakyridis, (unknown), George Dabos, Angelina Totović, Nikolaos Passalis, Manos Kirtas, Teerapat Rutirawut, Frédéric Y. Gardes, Anastasios Tefas, Nikos Pleros	81
17	Quantization-aware training for low precision photonic neural networks 2022 ·Neural Networks ·Manos Kirtas, (unknown), Nikolaos Passalis, George Mourgias-Alexandris, Miltiadis Moralis‐Pegios, Nikos Pleros, Anastasios Tefas	24
18	An all-optical neuron with sigmoid activation function 2019 ·Optics Express ·George Mourgias-Alexandris, Apostolos Tsakyridis, Nikolaos Passalis, Anastasios Tefas, Konstantinos Vyrsokinos, Nikos Pleros	163
19	Temporal Bag-of-Features Learning for Predicting Mid Price Movements Using High Frequency Limit Order Book Data 2018 ·IEEE Transactions on Emerging Topics in Computational Intelligence ·Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis	38
20	Probabilistic Knowledge Transfer for Deep Representation Learning. 2018 ·arXiv (Cornell University) ·Nikolaos Passalis, Anastasios Tefas	7

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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