Ioannis Pitas

25.3k total citations · 2 hit papers
656 papers, 16.3k citations indexed

About

Ioannis Pitas is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Ioannis Pitas has authored 656 papers receiving a total of 16.3k indexed citations (citations by other indexed papers that have themselves been cited), including 536 papers in Computer Vision and Pattern Recognition, 125 papers in Artificial Intelligence and 121 papers in Signal Processing. Recurrent topics in Ioannis Pitas's work include Face and Expression Recognition (149 papers), Video Surveillance and Tracking Methods (106 papers) and Face recognition and analysis (79 papers). Ioannis Pitas is often cited by papers focused on Face and Expression Recognition (149 papers), Video Surveillance and Tracking Methods (106 papers) and Face recognition and analysis (79 papers). Ioannis Pitas collaborates with scholars based in Greece, United Kingdom and Canada. Ioannis Pitas's co-authors include Anastasios Tefas, Nikos Nikolaidis, A.N. Venetsanopoulos, Alexandros Iosifidis, Constantine Kotropoulos, Irene Kotsia, K. Sobottka, Adrian G. Borş, G. Voyatzis and Ioan Buciu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and IEEE Transactions on Image Processing.

In The Last Decade

Ioannis Pitas

612 papers receiving 15.1k citations

Hit Papers

Nonlinear Digital Filters 1990 2026 2002 2014 1990 2018 250 500 750

Peers

Ioannis Pitas
Comparison fields: 5 of 201
  • Computer Vision and Pattern Recognition 12.4k
  • Signal Processing 3.0k
  • Artificial Intelligence 2.9k
  • Media Technology 1.5k
  • Experimental and Cognitive Psychology 1.3k
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Shiguang Shan China View profile →
Citations per field, relative to Ioannis Pitas
Ioannis Pitas · 1×
Citations per year, relative to Ioannis Pitas
Ioannis Pitas · 1×

Countries citing papers authored by Ioannis Pitas

Since Specialization
Citations

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

Fields of papers citing papers by Ioannis Pitas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ioannis Pitas

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 5
4 2
5 7
6 9
7 17
8 2
9 25
10 62
11 22
12
2014 IEEE Symposium on Computational Intelligence in Big Data (CIBD 2014)
1
13
Supervised video summarization by content-based video segment selection
1
14
Visual object tracking via Gabor-based salient features extraction
2
15
MUSCLE movie-database: a multimodal corpus with rich annotation for dialogue and saliency detection
3
16
Nonlinear Model-Based Image/Video Processing and Analysis
33
17
Digital Image Processing Algorithms and Applications
377
18
Performance assessment of morphological dynamic link architecture under optimal and real operating conditions.
1
19 17
20
Adaptive L-filters
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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