Miltos Petridis

1.1k total citations
58 papers, 349 citations indexed

About

Miltos Petridis is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Miltos Petridis has authored 58 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 17 papers in Computer Networks and Communications and 16 papers in Information Systems. Recurrent topics in Miltos Petridis's work include Semantic Web and Ontologies (10 papers), Business Process Modeling and Analysis (7 papers) and AI-based Problem Solving and Planning (6 papers). Miltos Petridis is often cited by papers focused on Semantic Web and Ontologies (10 papers), Business Process Modeling and Analysis (7 papers) and AI-based Problem Solving and Planning (6 papers). Miltos Petridis collaborates with scholars based in United Kingdom, China and Switzerland. Miltos Petridis's co-authors include Max Bramer, Aboubaker Lasebae, Yuan Luo, Tahmina Zebin, Shahadate Rezvy, B. Knight, Stelios Kapetanakis, J. Ewer, Brian Knight and Alan Thomas and has published in prestigious journals such as Neural Computing and Applications, Engineering Applications of Artificial Intelligence and Journal of Intelligent Manufacturing.

In The Last Decade

Miltos Petridis

51 papers receiving 327 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Miltos Petridis United Kingdom 10 168 105 78 46 39 58 349
Kanishka Bhaduri United States 15 364 2.2× 220 2.1× 129 1.7× 120 2.6× 16 0.4× 29 594
Mihai Florea Canada 10 147 0.9× 68 0.6× 42 0.5× 15 0.3× 14 0.4× 34 378
Feng-Jang Hwang Taiwan 13 85 0.5× 67 0.6× 41 0.5× 19 0.4× 11 0.3× 45 503
Nayat Sánchez-Pi Brazil 9 154 0.9× 61 0.6× 36 0.5× 44 1.0× 9 0.2× 36 335
Amit Thakkar India 11 200 1.2× 44 0.4× 86 1.1× 53 1.2× 7 0.2× 45 390
Alexandra A. Vagis Ukraine 3 183 1.1× 46 0.4× 42 0.5× 26 0.6× 11 0.3× 11 342
He Zhu China 12 234 1.4× 31 0.3× 68 0.9× 19 0.4× 39 1.0× 40 478
Yihong Yang China 11 177 1.1× 145 1.4× 102 1.3× 48 1.0× 6 0.2× 30 484
Xingchen Hu China 16 312 1.9× 29 0.3× 80 1.0× 52 1.1× 27 0.7× 41 516

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
1.
Kapetanakis, Stelios, et al.. (2019). A novel recommendation method based on general matrix factorization and artificial neural networks. Neural Computing and Applications. 32(16). 12327–12334. 8 indexed citations
2.
Kapetanakis, Stelios, et al.. (2019). Improved Movie Recommendations Based on a Hybrid Feature Combination Method. Vietnam Journal of Computer Science. 6(3). 363–376. 5 indexed citations
3.
Rezvy, Shahadate, Yuan Luo, Miltos Petridis, Aboubaker Lasebae, & Tahmina Zebin. (2019). An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks. UEA Digital Repository (University of East Anglia). 1–6. 74 indexed citations
4.
Kapetanakis, Stelios, et al.. (2017). Business Process Workflow Monitoring Using Distributed CBR with GPU Computing. University of Brighton Repository (University of Brighton). 495–498. 1 indexed citations
5.
Kapetanakis, Stelios, et al.. (2017). Intelligent Signal Processing for Dust Storm Prediction Using Ensemble Case-Based Reasoning. 7969. 1267–1271. 4 indexed citations
6.
Kapetanakis, Stelios, et al.. (2016). Evaluating Case-Based Reasoning Knowledge Discovery in Fraud Detection.. 182–191. 1 indexed citations
7.
Petridis, Miltos, et al.. (2016). Evaluating Distributed Methods for CBR Systems for Monitoring Business Process Workflows.. 122–131.
8.
Thomas, Alan, et al.. (2016). On the Optimal Node Ratio between Hidden Layers: A Probabilistic Study. International Journal of Machine Learning and Computing. 6(5). 241–247. 17 indexed citations
9.
Petridis, Miltos, et al.. (2015). A NOVEL ROUTING ALGORITHM FOR VIDEO-ON-DEMAND ON MOBILE DEVICES. University of Brighton Repository (University of Brighton). 3(3). 16–26. 1 indexed citations
10.
Fish, Andrew, et al.. (2015). Prediction of Users' Response Time in Q&A Communities. University of Brighton Repository (University of Brighton). 618–623. 7 indexed citations
11.
Hawthorne, James, Richard Anthony, & Miltos Petridis. (2011). Improving the Development Process for Teleo-Reactive Programming Through Advanced Composition. 75–80. 4 indexed citations
12.
Zhou, Xiaoyi, et al.. (2010). BMQE system: a MQ equations system based on ergodic matrix. Greenwich Academic Literature Archive (University of Greenwich). 1 indexed citations
13.
Zheng, Aihua, Jixin Ma, Miltos Petridis, Jin Tang, & Bin Luo. (2010). Structure Based Feature Extraction in Basketball Zone-Defense Strategies.. 7(3). 18–32.
14.
Zheng, Aihua, Xiaoyi Zhou, Jixin Ma, & Miltos Petridis. (2010). The Optimal Temporal Common Subsequence. University of Brighton Repository (University of Brighton). 316–321. 3 indexed citations
15.
Ma, Jixin, Brian Knight, Miltos Petridis, & Xiao Bai. (2010). A Graphical Representation for Uncertain and Incomplete Temporal Knowledge. Greenwich Academic Literature Archive (University of Greenwich). 7. 117–120. 2 indexed citations
16.
Bramer, Max, Richard Ellis, & Miltos Petridis. (2009). Research and Development in Intelligent Systems XXVI: Incorporating Applications and Innovations in Intelligent Systems XVII. DIAL (Catholic University of Leuven). 12 indexed citations
17.
Ma, Jixin, Brian Knight, & Miltos Petridis. (2008). Deriving explanations from partial temporal information. Greenwich Academic Literature Archive (University of Greenwich). 61–71. 4 indexed citations
18.
Bacon, Liz, et al.. (2006). Towards the Design of a Portal Framework for Web Services Integration. Greenwich Academic Literature Archive (University of Greenwich). 2. 163–163. 5 indexed citations
19.
Knight, Brian, et al.. (2003). Case-based reasoning as a tool to improve the usability of numerical models.
20.
Knight, B., et al.. (1999). A knowledge-based system to represent spatial reasoning for fire modelling. Engineering Applications of Artificial Intelligence. 12(2). 213–219. 6 indexed citations

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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