Panagiotis Perakis

429 total citations
8 papers, 312 citations indexed

About

Panagiotis Perakis is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Orthodontics. According to data from OpenAlex, Panagiotis Perakis has authored 8 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 2 papers in Signal Processing and 2 papers in Orthodontics. Recurrent topics in Panagiotis Perakis's work include Face recognition and analysis (5 papers), Face and Expression Recognition (3 papers) and Image Retrieval and Classification Techniques (2 papers). Panagiotis Perakis is often cited by papers focused on Face recognition and analysis (5 papers), Face and Expression Recognition (3 papers) and Image Retrieval and Classification Techniques (2 papers). Panagiotis Perakis collaborates with scholars based in Greece, United States and Norway. Panagiotis Perakis's co-authors include Ioannis A. Kakadiaris, T. Theoharis, G. Passalis, Theoharis Theoharis, Ioannis Pratikakis, George Toderici, Tobias Schreck, Robert J. Gregor and Ivan Sipiran and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Eurographics.

In The Last Decade

Panagiotis Perakis

8 papers receiving 298 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Panagiotis Perakis Greece	6	291	109	36	26	15	8	312
Chaua Queirolo Brazil	6	275 0.9×	104 1.0×	30 0.8×	6 0.2×	5 0.3×	7	309
Georgios Passalis Greece	5	401 1.4×	178 1.6×	49 1.4×	11 0.4×	3 0.2×	6	423
Yuru Pei China	10	149 0.5×	51 0.5×	23 0.6×	6 0.2×	47 3.1×	41	317
Joan Alabort-i-Medina United Kingdom	8	261 0.9×	70 0.6×	41 1.1×	21 0.8×	6 0.4×	10	289
Timothy C. Faltemier United States	8	332 1.1×	164 1.5×	24 0.7×	13 0.5×	2 0.1×	11	346
Patrick Snape United Kingdom	9	477 1.6×	160 1.5×	68 1.9×	37 1.4×	7 0.5×	13	513
Chenghua Xu China	9	269 0.9×	136 1.2×	25 0.7×	4 0.2×	5 0.3×	16	306
Patrik Huber United Kingdom	7	246 0.8×	59 0.5×	67 1.9×	6 0.2×	4 0.3×	12	294
Mingquan Zhou China	9	206 0.7×	24 0.2×	70 1.9×	5 0.2×	15 1.0×	29	295
Yuxiang Zhou United Kingdom	8	447 1.5×	188 1.7×	65 1.8×	15 0.6×	2 0.1×	12	492

Countries citing papers authored by Panagiotis Perakis

Since Specialization

Citations

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

Fields of papers citing papers by Panagiotis Perakis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Panagiotis Perakis

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

All Works

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8 of 8 papers shown

1.

Perakis, Panagiotis, et al.. (2019). Authentication Mechanism Enhancement Utilising Secure Repository for Passwordless Handshake. International Journal of Network Security & Its Applications. 11(4). 1–18. 2 indexed citations

2.

Theoharis, Theoharis, et al.. (2015). An effective methodology for dynamic 3D facial expression retrieval. Pattern Recognition. 52. 174–185. 24 indexed citations

3.

Gregor, Robert J., et al.. (2015). Automatic 3D Object Fracturing for Evaluation of Partial Retrieval and Object Restoration Tasks - Benchmark and Application to 3D Cultural Heritage Data. Eurographics. 5 indexed citations

4.

Perakis, Panagiotis, Theoharis Theoharis, & Ioannis A. Kakadiaris. (2014). Feature fusion for facial landmark detection. Pattern Recognition. 47(9). 2783–2793. 32 indexed citations

5.

Perakis, Panagiotis, G. Passalis, T. Theoharis, & Ioannis A. Kakadiaris. (2012). 3D Facial Landmark Detection under Large Yaw and Expression Variations. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(7). 1552–1564. 83 indexed citations

6.

Passalis, G., Panagiotis Perakis, T. Theoharis, & Ioannis A. Kakadiaris. (2011). Using Facial Symmetry to Handle Pose Variations in Real-World 3D Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 33(10). 1938–1951. 119 indexed citations

7.

Perakis, Panagiotis, T. Theoharis, G. Passalis, & Ioannis A. Kakadiaris. (2009). Automatic 3D facial region retrieval from multi-pose facial datasets. 37–44. 23 indexed citations

8.

Perakis, Panagiotis, G. Passalis, T. Theoharis, George Toderici, & Ioannis A. Kakadiaris. (2009). Partial matching of interpose 3D facial data for face recognition. 22. 1–8. 24 indexed citations

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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