Panos E. Trahanias

3.8k citations
152 papers · 3k · h-index 26

Impact in

Papers in

Panos E. Trahanias

146 papers receiving 2.8k citations

Peers

Panos E. Trahanias
Comparison fields: 5 of 101
  • Computer Vision and Pattern Recognition 1.4k
  • Human-Computer Interaction 148
  • Artificial Intelligence 430
  • Cardiology and Cardiovascular Medicine 276
  • Aerospace Engineering 276
Replace Ngan Le with:
Ngan Le United States
Aurobinda Routray India
Luigi Cinque Italy
D. Metaxas United States
Daniel F. Dementhon United States
Jeen-Shing Wang Taiwan
Nicola Bellotto United Kingdom
Reza Ebrahimpour Iran
Óscar Martínez Mozos Germany
Shinji Umeyama Japan
Panos E. Trahanias relative to Ngan Le United States Ngan Le's profile →
Citations per field
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Citations per year

Countries citing papers authored by Panos E. Trahanias

Since Specialization
Citations

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

Fields of papers citing papers by Panos E. Trahanias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Panos E. Trahanias. 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 Panos E. Trahanias. The network helps show where Panos E. Trahanias may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 152 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993274
2 1996207
3 1993159
4 1997146
5 1990139
6 1993117
7 1997111
8 200392
9 200785
10 199680
11 200571
12 201066
13 200263
14 200363
15 201655
16 200353
17 201052
18 200245
19 198942
20 201337

About Panos E. Trahanias

Panos E. Trahanias is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Social Psychology and Cognitive Neuroscience, having authored 152 papers that have together received 3k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (26 papers), Psychiatry, Mental Health, Neuroscience (19 papers), Social Robot Interaction and HRI (15 papers), Robot Manipulation and Learning (11 papers), Neuroscience and Music Perception (10 papers), Neural Networks and Applications (9 papers), Video Surveillance and Tracking Methods (8 papers) and Robotic Path Planning Algorithms (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Human-Computer Interaction (148 citations), Artificial Intelligence (430 citations), Cardiology and Cardiovascular Medicine (276 citations) and Aerospace Engineering (276 citations). Panos E. Trahanias has collaborated with scholars based in Greece, Germany and Canada. Frequent co-authors include A.N. Venetsanopoulos, Damianos Karakos, Michail Maniadakis A, Haris Baltzakis, E. Skordalakis, Antonis Argyros, Maria Pateraki, Sylvie Droit‐Volet, Maria Koskinopoulou and G. Faconti. Their work appears in journals such as IEEE Transactions on Image Processing, Neural Networks, Machine Vision and Applications, Autonomous Robots and Image and Vision Computing.

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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