Angelos Chatzimparmpas

46 total papers · 784 total citations
21 papers, 484 citations indexed

About

Angelos Chatzimparmpas is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Angelos Chatzimparmpas has authored 21 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Angelos Chatzimparmpas's work include Data Visualization and Analytics (15 papers), Explainable Artificial Intelligence (XAI) (7 papers) and Machine Learning and Data Classification (5 papers). Angelos Chatzimparmpas is often cited by papers focused on Data Visualization and Analytics (15 papers), Explainable Artificial Intelligence (XAI) (7 papers) and Machine Learning and Data Classification (5 papers). Angelos Chatzimparmpas collaborates with scholars based in Sweden, United States and Netherlands. Angelos Chatzimparmpas's co-authors include Andreas Kerren, Rafael M. Martins, Kostiantyn Kucher, Ilir Jusufi, Fabrice Rossi, Stamatia Bibi, Sotirios Kontogiannis, George Kokkonis, Fernando V. Paulovich and Alexandru Telea and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum and IEEE Computer Graphics and Applications.

In The Last Decade

Angelos Chatzimparmpas

18 papers receiving 465 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Angelos Chatzimparmpas 225 202 34 28 27 21 484
Miguel García-Silvente 169 0.8× 312 1.5× 45 1.3× 52 1.9× 30 1.1× 26 479
Tongfeng Sun 194 0.9× 216 1.1× 49 1.4× 32 1.1× 23 0.9× 43 448
Mohaimenul Azam Khan Raiaan 220 1.0× 87 0.4× 21 0.6× 40 1.4× 40 1.5× 25 545
Saeed Masoudnia 213 0.9× 125 0.6× 36 1.1× 37 1.3× 23 0.9× 18 432
Ayman Nabil 210 0.9× 127 0.6× 17 0.5× 45 1.6× 52 1.9× 26 532
Zheyan Shen 350 1.6× 187 0.9× 23 0.7× 14 0.5× 22 0.8× 17 490
Ignacio Heredia 174 0.8× 69 0.3× 40 1.2× 36 1.3× 67 2.5× 15 540
Zijie J. Wang 140 0.6× 147 0.7× 16 0.5× 15 0.5× 25 0.9× 29 484
Martin Bobák 178 0.8× 72 0.4× 40 1.2× 37 1.3× 77 2.9× 20 551
Xuhong Li 219 1.0× 100 0.5× 25 0.7× 42 1.5× 35 1.3× 36 523

Countries citing papers authored by Angelos Chatzimparmpas

Since Specialization
Citations

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

Fields of papers citing papers by Angelos Chatzimparmpas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angelos Chatzimparmpas

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

All Works

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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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