Dim P. Papadopoulos

787 total citations
12 papers, 243 citations indexed

About

Dim P. Papadopoulos is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Dim P. Papadopoulos has authored 12 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Biomedical Engineering. Recurrent topics in Dim P. Papadopoulos's work include Multimodal Machine Learning Applications (4 papers), Advanced Neural Network Applications (3 papers) and Visual Attention and Saliency Detection (2 papers). Dim P. Papadopoulos is often cited by papers focused on Multimodal Machine Learning Applications (4 papers), Advanced Neural Network Applications (3 papers) and Visual Attention and Saliency Detection (2 papers). Dim P. Papadopoulos collaborates with scholars based in United States, Greece and Denmark. Dim P. Papadopoulos's co-authors include Vittorio Ferrari, Frank Keller, Jasper Uijlings, Vicky Kalogeiton, Antonio Torralba, Ferda Ofli, Marius Popescu, Radu Tudor Ionescu, Bogdan Alexe and Marius Leordeanu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and International Journal of General Systems.

In The Last Decade

Dim P. Papadopoulos

11 papers receiving 235 citations

Peers

Dim P. Papadopoulos
Comparison fields: 5 of 61
  • Computer Vision and Pattern Recognition 151
  • Artificial Intelligence 86
  • Biomedical Engineering 21
  • Media Technology 17
  • Ocean Engineering 16
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Citations per field, relative to Dim P. Papadopoulos
Dim P. Papadopoulos · 1×
Citations per year, relative to Dim P. Papadopoulos
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Countries citing papers authored by Dim P. Papadopoulos

Since Specialization
Citations

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

Fields of papers citing papers by Dim P. Papadopoulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dim P. Papadopoulos. 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 Dim P. Papadopoulos. The network helps show where Dim P. Papadopoulos may publish in the future.

Co-authorship network of co-authors of Dim P. Papadopoulos

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

All Works

12 of 12 papers shown
# Work Indexed citations
1 2
2 4
3 20
4 22
5 24
6 64
7 62
8 19
9
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5
10 2
11 19
12
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0

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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