Dimitris Papadopoulos

945 total citations
22 papers, 491 citations indexed

About

Dimitris Papadopoulos is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Dimitris Papadopoulos has authored 22 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Signal Processing and 6 papers in Computer Networks and Communications. Recurrent topics in Dimitris Papadopoulos's work include Data Management and Algorithms (5 papers), Data Quality and Management (3 papers) and Anomaly Detection Techniques and Applications (2 papers). Dimitris Papadopoulos is often cited by papers focused on Data Management and Algorithms (5 papers), Data Quality and Management (3 papers) and Anomaly Detection Techniques and Applications (2 papers). Dimitris Papadopoulos collaborates with scholars based in Greece, United States and Switzerland. Dimitris Papadopoulos's co-authors include Dimitrios Gunopulos, Vana Kalogeraki, Carlotta Domeniconi, Sheng Ma, Muna Al‐Razgan, Vangelis Karalis, Vassilis J. Tsotras, George Kollios, Nikolaos Papadakis and Αντώνιος Λίτκε and has published in prestigious journals such as Applied Sciences, ACM SIGMOD Record and Telematics and Informatics.

In The Last Decade

Dimitris Papadopoulos

21 papers receiving 459 citations

Peers

Dimitris Papadopoulos
Comparison fields: 5 of 90
  • Artificial Intelligence 294
  • Computer Networks and Communications 167
  • Signal Processing 124
  • Computer Vision and Pattern Recognition 115
  • Information Systems 59
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Citations per field, relative to Dimitris Papadopoulos
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Citations per year, relative to Dimitris Papadopoulos
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Countries citing papers authored by Dimitris Papadopoulos

Since Specialization
Citations

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

Fields of papers citing papers by Dimitris Papadopoulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dimitris Papadopoulos

This figure shows the co-authorship network connecting the top 25 collaborators of Dimitris Papadopoulos. A scholar is included among the top collaborators of Dimitris 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 Dimitris Papadopoulos. Dimitris Papadopoulos 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 3
2 28
3 8
4 3
5 10
6 6
7 1
8 6
9 12
10 17
11 15
12 168
13 2
14 3
15 8
16 26
17 17
18 122
19 7
20
Architecture and Implementation of an XQuery-based Information Integration Platform.
21

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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