Stelios Kapetanakis

22 papers receiving 177 citations

Peers

Stelios Kapetanakis
Comparison fields: 5 of 62
  • Information Systems 69
  • Environmental Engineering 51
  • Artificial Intelligence 48
  • Global and Planetary Change 47
  • Water Science and Technology 32
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Countries citing papers authored by Stelios Kapetanakis

Since Specialization
Citations

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

Fields of papers citing papers by Stelios Kapetanakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stelios Kapetanakis

This figure shows the co-authorship network connecting the top 25 collaborators of Stelios Kapetanakis. A scholar is included among the top collaborators of Stelios Kapetanakis 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 Stelios Kapetanakis. Stelios Kapetanakis 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 4
2 2
3 8
4 24
5
Seen the villains: Detecting Social Engineering Attacks using Case-based Reasoning and Deep Learning
5
6 4
7
Personalized Recommendations on Twitter based on Explicit User Relationship Modelling
1
8 8
9 5
10 7
11 85
12
Business Process Workflow Monitoring Using Distributed CBR with GPU Computing
1
13 4
14
Behavioural Analytics using Process Mining in On-line Advertising.
3
15 5
16 3
17 1
18
Evaluating Case-Based Reasoning Knowledge Discovery in Fraud Detection.
1
19
Evaluating Distributed Methods for CBR Systems for Monitoring Business Process Workflows.
0
20
Profiling cyber attackers using case-based reasoning
4

About Stelios Kapetanakis

Stelios Kapetanakis is a scholar working on Information Systems, Signal Processing and Software, having authored 23 papers that have together received 182 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (5 papers), Advanced Malware Detection Techniques (5 papers) and Business Process Modeling and Analysis (4 papers). The work is most often cited by research in Environmental Engineering (51 citations), Information Systems (69 citations) and Water Science and Technology (32 citations). Stelios Kapetanakis has collaborated with scholars based in United Kingdom, Germany and Cyprus. Frequent co-authors include Nikolaos Polatidis, Miltos Petridis, Francois Mouton, Elias Pimenidis, Marcello Trovati, Ioannis Korkontzelos, Andrew Fish, Panagiotis Sarigiannidis, Zhiyuan Luo and Avgoustinos Filippoupolitis. Their work appears in journals such as Journal of the Association for Information Systems, Neural Computing and Applications and Water.

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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