Konstantinos Papoutsakis

663 total citations
19 papers, 330 citations indexed

About

Konstantinos Papoutsakis is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Social Psychology. According to data from OpenAlex, Konstantinos Papoutsakis has authored 19 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Social Psychology. Recurrent topics in Konstantinos Papoutsakis's work include Human Pose and Action Recognition (6 papers), Multimodal Machine Learning Applications (4 papers) and Video Analysis and Summarization (3 papers). Konstantinos Papoutsakis is often cited by papers focused on Human Pose and Action Recognition (6 papers), Multimodal Machine Learning Applications (4 papers) and Video Analysis and Summarization (3 papers). Konstantinos Papoutsakis collaborates with scholars based in Greece, Montenegro and Germany. Konstantinos Papoutsakis's co-authors include Antonis Argyros, Peter Einramhof, Stefan G. Hofmann, Paul Panek, Markus Vincze, Astrid Weiss, Walter Wohlkinger, Peter Mayer, David Fischinger and Costas Panagiotakis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Konstantinos Papoutsakis

17 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Konstantinos Papoutsakis Greece 6 138 135 110 61 59 19 330
Andrea Scheidig Germany 11 131 0.9× 163 1.2× 89 0.8× 74 1.2× 35 0.6× 25 364
Peter Einramhof Austria 4 124 0.9× 134 1.0× 88 0.8× 59 1.0× 58 1.0× 10 309
Raffaele Limosani Italy 12 161 1.2× 168 1.2× 150 1.4× 115 1.9× 118 2.0× 22 492
Michael Volkhardt Germany 10 225 1.6× 215 1.6× 125 1.1× 93 1.5× 79 1.3× 17 459
Manuele Bonaccorsi Italy 9 94 0.7× 113 0.8× 71 0.6× 93 1.5× 49 0.8× 14 292
David Fischinger Austria 7 138 1.0× 138 1.0× 111 1.0× 170 2.8× 62 1.1× 13 396
Håkan Eftring Sweden 7 86 0.6× 50 0.4× 54 0.5× 62 1.0× 57 1.0× 17 237
Giancarlo Teti Italy 8 97 0.7× 81 0.6× 59 0.5× 120 2.0× 29 0.5× 12 291
Nicoletta Noceti Italy 11 58 0.4× 258 1.9× 103 0.9× 79 1.3× 24 0.4× 52 400
M. Merten Germany 7 197 1.4× 185 1.4× 103 0.9× 108 1.8× 32 0.5× 10 387

Countries citing papers authored by Konstantinos Papoutsakis

Since Specialization
Citations

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

Fields of papers citing papers by Konstantinos Papoutsakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Konstantinos Papoutsakis

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

All Works

19 of 19 papers shown
1.
Papoutsakis, Konstantinos, et al.. (2025). A vision-based framework and dataset for human behavior understanding in industrial assembly lines. Computer Vision and Image Understanding. 263. 104592–104592.
2.
Papoutsakis, Konstantinos, et al.. (2025). Recognizing Unseen States of Unknown Objects by Leveraging Knowledge Graphs. 8648–8659.
3.
Papoutsakis, Konstantinos, et al.. (2024). Exploring the Impact of Knowledge Graphs on Zero-Shot Visual Object State Classification. 738–749. 3 indexed citations
4.
Papoutsakis, Konstantinos, et al.. (2024). LLM-aided Knowledge Graph construction for Zero-Shot Visual Object State Classification. 1–7. 2 indexed citations
5.
Papoutsakis, Konstantinos, et al.. (2024). Fusing Domain-Specific Content from Large Language Models into Knowledge Graphs for Enhanced Zero Shot Object State Classification. Proceedings of the AAAI Symposium Series. 3(1). 115–124. 5 indexed citations
6.
Papoutsakis, Konstantinos, et al.. (2023). Complexity based investigation in collaborative assembly scenarios via non intrusive techniques. Procedia Computer Science. 217. 478–485. 1 indexed citations
7.
Papoutsakis, Konstantinos, et al.. (2023). VLMAH: Visual-Linguistic Modeling of Action History for Effective Action Anticipation. 1909–1919. 4 indexed citations
8.
Papoutsakis, Konstantinos, George Papadopoulos, Michail Maniadakis, et al.. (2022). Detection of Physical Strain and Fatigue in Industrial Environments Using Visual and Non-Visual Low-Cost Sensors. SHILAP Revista de lepidopterología. 10(2). 42–42. 11 indexed citations
9.
Varlamis, Iraklis, Maria Pateraki, Manolis Lourakis, et al.. (2022). sustAGE 1.0 – First Prototype, Use Cases, and Usability Evaluation. AHFE international. 1 indexed citations
10.
Papoutsakis, Konstantinos, et al.. (2021). Detection of physical strain and fatigue in industrial environments using visual and non-visual sensors. Zenodo (CERN European Organization for Nuclear Research). 200. 270–271. 2 indexed citations
11.
Papoutsakis, Konstantinos & Antonis Argyros. (2019). Unsupervised and Explainable Assessment of Video Similarity.. British Machine Vision Conference. 151. 2 indexed citations
12.
Panagiotakis, Costas, Konstantinos Papoutsakis, & Antonis Argyros. (2018). A graph-based approach for detecting common actions in motion capture data and videos. Pattern Recognition. 79. 1–11. 18 indexed citations
13.
Papoutsakis, Konstantinos, Costas Panagiotakis, & Antonis Argyros. (2017). Temporal Action Co-Segmentation in 3D Motion Capture Data and Videos. 10. 2146–2155. 13 indexed citations
14.
Kosmopoulos, Dimitrios, Konstantinos Papoutsakis, & Antonis Argyros. (2016). A Framework for Online Segmentation and Classification of Modeled Actions Performed in the Context of Unmodeled Ones. IEEE Transactions on Circuits and Systems for Video Technology. 27(12). 2578–2590. 1 indexed citations
15.
Foukarakis, Michalis, Ilia Adami, Asterios Leonidis, et al.. (2016). A Robot-based Application for Physical Exercise Training. 45–52. 5 indexed citations
16.
Fischinger, David, Peter Einramhof, Konstantinos Papoutsakis, et al.. (2014). Hobbit, a care robot supporting independent living at home: First prototype and lessons learned. Robotics and Autonomous Systems. 75. 60–78. 242 indexed citations
17.
Kosmopoulos, Dimitrios, Konstantinos Papoutsakis, & Antonis Argyros. (2014). Segmentation and classification of modeled actions in the context of unmodeled ones. 95.1–95.12. 2 indexed citations
18.
Papoutsakis, Konstantinos & Antonis Argyros. (2013). Integrating tracking with fine object segmentation. Image and Vision Computing. 31(10). 771–785. 15 indexed citations
19.
Papoutsakis, Konstantinos, et al.. (2013). Developing visual competencies for socially assistive robots. 1–7. 3 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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