Dimitris Kanellopoulos

88 papers receiving 2.0k citations

Hit Papers

Handling imbalanced datasets: A review200620262012201920062007200400600

Peers

Dimitris Kanellopoulos
Comparison fields: 5 of 176
  • Artificial Intelligence 792
  • Computer Networks and Communications 475
  • Information Systems 465
  • Electrical and Electronic Engineering 262
  • Computer Vision and Pattern Recognition 212
Replace Byeong Ho Kang with:
Byeong Ho Kang Australia
Aida Mustapha Malaysia
Miriam A. M. Capretz Canada
Chao‐Hsien Chu United States
Sarah Jane Delany Ireland
Jafar A. Alzubi Jordan
Şeref Sağıroğlu Türkiye
Miodrag Živković Serbia
Vicente García‐Díaz Spain
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Citations per field
00.5×1.5×1.9×
Byeong Ho Kang · 1×
Citations per year

Countries citing papers authored by Dimitris Kanellopoulos

Since Specialization
Citations

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

Fields of papers citing papers by Dimitris Kanellopoulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dimitris Kanellopoulos

This figure shows the co-authorship network connecting the top 25 collaborators of Dimitris Kanellopoulos. A scholar is included among the top collaborators of Dimitris Kanellopoulos 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 Kanellopoulos. Dimitris Kanellopoulos 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
#WorkIndexed citations
1 45
2 36
3 20
4 24
5 7
6 1
7 2
8 34
9 23
10
Peer-to-peer networks and internet policies
8
11 3
12
Heuristically Evaluating Greek e‑Tourism and e‑Museum Websites
10
13
Association Rules Mining: A Recent Overview
253
14
Semantic Web: A state of the art survey
2
15 2
16 14
17
Handling imbalanced datasets: A reviewbreakdown →
632
18
THE ADVENT OF SEMANTIC WEB IN TOURISM INFORMATION SYSTEMS
1
19 1
20 1

About Dimitris Kanellopoulos

Dimitris Kanellopoulos is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 96 papers that have together received 2.1k indexed citations. Recurring topics across this work include Multimedia Communication and Technology (15 papers), Mobile Ad Hoc Networks (14 papers) and Opportunistic and Delay-Tolerant Networks (12 papers). The work is most often cited by research in Artificial Intelligence (792 citations), Health Information Management (105 citations) and Computer Networks and Communications (475 citations). Dimitris Kanellopoulos has collaborated with scholars based in Greece, India and Iraq. Frequent co-authors include Sotiris Kotsiantis, Panayiotis Pintelas, Panagiotis Pintelas, Varun Kumar Sharma, Giancarlo Ruffo, Shiguo Lian, Fotis Lazarinis, Umesh Kumar Singh, V. Sharma and Theodor Panagiotakopoulos. Their work appears in journals such as IEEE Access, Psychological Medicine and Journal of Network and Computer Applications.

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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