Matthew Pediaditis
- Computer Vision and Pattern Recognition top 2%
- Experimental and Cognitive Psychology top 5%
- Biomedical Engineering top 10%
- Cognitive Neuroscience top 10%
- Artificial Intelligence top 10%
- Co-authors
- Manolis TsiknakisGeorge VavoulasKostas MariasPanagiotis G. SimosChariklia ChatzakiNorbert LeitgebGiorgos GiannakakisDimitris Manousos
- Topics
- EEG and Brain-Computer Interfaces (12 papers)Emotion and Mood Recognition (9 papers)Non-Invasive Vital Sign Monitoring (6 papers)
- Cited by
- Experimental and Cognitive PsychologyComputer Vision and Pattern RecognitionApplied Psychology
In The Last Decade
Matthew Pediaditis
35 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 113
- Computer Vision and Pattern Recognition 404
- Experimental and Cognitive Psychology 367
- Biomedical Engineering 283
- Cognitive Neuroscience 252
- Artificial Intelligence 174
Countries citing papers authored by Matthew Pediaditis
This map shows the geographic impact of Matthew Pediaditis'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 Matthew Pediaditis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Pediaditis more than expected).
Fields of papers citing papers by Matthew Pediaditis
This network shows the impact of papers produced by Matthew Pediaditis. 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 Matthew Pediaditis. The network helps show where Matthew Pediaditis may publish in the future.
Co-authorship network of co-authors of Matthew Pediaditis
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Pediaditis. A scholar is included among the top collaborators of Matthew Pediaditis 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 Matthew Pediaditis. Matthew Pediaditis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 147 | |
| 10 | 45 | |
| 11 | 184 | |
| 12 | 235 | |
| 13 | 24 | |
| 14 | 1 | |
| 15 | 80 | |
| 16 | 12 | |
| 17 | 55 | |
| 18 | 19 | |
| 19 | 11 | |
| 20 | 45 |
About Matthew Pediaditis
Matthew Pediaditis is a scholar working on Experimental and Cognitive Psychology, Human-Computer Interaction and Cognitive Neuroscience, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (12 papers), Emotion and Mood Recognition (9 papers) and Non-Invasive Vital Sign Monitoring (6 papers). The work is most often cited by research in Experimental and Cognitive Psychology (367 citations), Computer Vision and Pattern Recognition (404 citations) and Applied Psychology (83 citations). Matthew Pediaditis has collaborated with scholars based in Greece, Austria and France. Frequent co-authors include Manolis Tsiknakis, George Vavoulas, Kostas Marias, Panagiotis G. Simos, Chariklia Chatzaki, Norbert Leitgeb, Giorgos Giannakakis, Dimitris Manousos, Franco Chiarugi and Eleni Kazantzaki. Their work appears in journals such as Physics in Medicine and Biology, Computer Methods and Programs in Biomedicine and Computer Vision and Image Understanding.
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.