Dimitrios Pappas

541 total citations
37 papers, 411 citations indexed

About

Dimitrios Pappas is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dimitrios Pappas has authored 37 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computational Theory and Mathematics, 13 papers in Numerical Analysis and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dimitrios Pappas's work include Matrix Theory and Algorithms (20 papers), Advanced Optimization Algorithms Research (11 papers) and Advanced Image Processing Techniques (6 papers). Dimitrios Pappas is often cited by papers focused on Matrix Theory and Algorithms (20 papers), Advanced Optimization Algorithms Research (11 papers) and Advanced Image Processing Techniques (6 papers). Dimitrios Pappas collaborates with scholars based in Greece, Serbia and North Macedonia. Dimitrios Pappas's co-authors include Vasilios N. Katsikis, Spiros Chountasis, Predrag S. Stanimirović, Athanassios Petralias, Christian A. Chisholm, George Kaimakamis, Θωμάς Λάγκας, Athanasios N. Yannacopoulos, George Eleftherakis and Aris Perperoglou and has published in prestigious journals such as European Journal of Operational Research, Obstetrics and Gynecology and Applied Mathematics and Computation.

In The Last Decade

Dimitrios Pappas

33 papers receiving 392 citations

Peers

Dimitrios Pappas
Comparison fields: 5 of 93
  • Computational Theory and Mathematics 198
  • Numerical Analysis 101
  • Computer Vision and Pattern Recognition 67
  • Artificial Intelligence 58
  • Applied Mathematics 47
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Citations per field, relative to Dimitrios Pappas
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Citations per year, relative to Dimitrios Pappas
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Countries citing papers authored by Dimitrios Pappas

Since Specialization
Citations

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

Fields of papers citing papers by Dimitrios Pappas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dimitrios Pappas

This figure shows the co-authorship network connecting the top 25 collaborators of Dimitrios Pappas. A scholar is included among the top collaborators of Dimitrios Pappas 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 Dimitrios Pappas. Dimitrios Pappas 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 4
3 0
4 6
5 3
6 1
7 1
8 0
9 17
10 1
11 16
12 7
13 6
14 2
15 7
16 2
17 28
18 31
19 35
20 22

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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