Miltos Petridis

1.1k citations
58 papers · 349 indexed · h-index 10

Miltos Petridis

51 papers receiving 327 citations

Peers

Miltos Petridis
Comparison fields: 5 of 82
  • Artificial Intelligence 168
  • Computer Networks and Communications 105
  • Information Systems 78
  • Signal Processing 46
  • Safety, Risk, Reliability and Quality 39
Replace Yadong Zhou with:
Yadong Zhou China
Sin G. Teo Singapore
Yihong Yang China
Haimonti Dutta United States
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Citations per field
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Citations per year

Countries citing papers authored by Miltos Petridis

Since Specialization
Citations

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

Fields of papers citing papers by Miltos Petridis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miltos Petridis

This figure shows the co-authorship network connecting the top 25 collaborators of Miltos Petridis. A scholar is included among the top collaborators of Miltos Petridis 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 Miltos Petridis. Miltos Petridis 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 8
2 5
3 74
4
Business Process Workflow Monitoring Using Distributed CBR with GPU Computing
1
5 4
6
Evaluating Case-Based Reasoning Knowledge Discovery in Fraud Detection.
1
7
Evaluating Distributed Methods for CBR Systems for Monitoring Business Process Workflows.
0
8 17
9 1
10 7
11
Improving the Development Process for Teleo-Reactive Programming Through Advanced Composition
4
12
BMQE system: a MQ equations system based on ergodic matrix
1
13
Structure Based Feature Extraction in Basketball Zone-Defense Strategies.
0
14
The Optimal Temporal Common Subsequence
3
15 2
16 12
17
Deriving explanations from partial temporal information
4
18 5
19
Case-based reasoning as a tool to improve the usability of numerical models
0
20 6

About Miltos Petridis

Miltos Petridis is a scholar working on Software, Artificial Intelligence and Management Information Systems, having authored 58 papers that have together received 349 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (10 papers), Business Process Modeling and Analysis (7 papers) and AI-based Problem Solving and Planning (6 papers). The work is most often cited by research in Artificial Intelligence (168 citations), Computer Networks and Communications (105 citations) and Signal Processing (46 citations). Miltos Petridis has collaborated with scholars based in United Kingdom, China and Switzerland. Frequent co-authors include Max Bramer, Aboubaker Lasebae, Yuan Luo, Tahmina Zebin, Shahadate Rezvy, B. Knight, Stelios Kapetanakis, J. Ewer, Brian Knight and Alan Thomas. Their work appears in journals such as Neural Computing and Applications, Engineering Applications of Artificial Intelligence and Journal of Intelligent Manufacturing.

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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