Panagiotis Tzionas
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- Cellular Automata and Applications 15
- Control and Systems Engineering top 10%
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- Modular Robots and Swarm Intelligence 6
- Advanced Materials and Mechanics 4
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- DNA and Biological Computing 6
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- Multi-Criteria Decision Making 4
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- Disaster Management and Resilience 4
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- Neural Networks Stability and Synchronization 3
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- Sustainable Supply Chain Management 3
- Co-authors
- Maria DrakakiYannis L. KarnavasA. ThanailakisPh. TsalidesHacer Güner GörenIoannis D. ChasiotisIoannis AndreadisIoannis G. Karafyllidis
- Cited by
- Industrial and Manufacturing EngineeringComputational Theory and MathematicsComputer Vision and Pattern Recognition
- Partner nations
- GreeceTürkiyeKazakhstan
In The Last Decade
Panagiotis Tzionas
43 papers receiving 613 citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Industrial and Manufacturing Engineering 69
- Computational Theory and Mathematics 107
- Computer Vision and Pattern Recognition 102
- Medical Laboratory Technology 7
- Control and Systems Engineering 97
Countries citing papers authored by Panagiotis Tzionas
This map shows the geographic impact of Panagiotis Tzionas'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 Panagiotis Tzionas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Panagiotis Tzionas more than expected).
Fields of papers citing papers by Panagiotis Tzionas
This network shows the impact of papers produced by Panagiotis Tzionas. 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 Panagiotis Tzionas. The network helps show where Panagiotis Tzionas may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Panagiotis Tzionas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 1 | |
| 5 | 2022 | 30 | |
| 6 | Machine Learning in Disaster Management: Recent Developments in Methods and Applicationsbreakdown → | 2022 | 130 |
| 7 | 2020 | 0 | |
| 8 | 2019 | 2 | |
| 9 | 2019 | 34 | |
| 10 | 2017 | 37 | |
| 11 | 2015 | 17 | |
| 12 | 2012 | 27 | |
| 13 | 2012 | 2 | |
| 14 | 2004 | 14 | |
| 15 | 2003 | 12 | |
| 16 | 2000 | 2 | |
| 17 | 1997 | 5 | |
| 18 | 1996 | 23 | |
| 19 | 1996 | 2 | |
| 20 | 1993 | 2 |
About Panagiotis Tzionas
Panagiotis Tzionas is a scholar working on Computational Theory and Mathematics, Industrial and Manufacturing Engineering and Medical Laboratory Technology, having authored 46 papers that have together received 640 indexed citations. Recurring topics across this work include Cellular Automata and Applications (15 papers), Modular Robots and Swarm Intelligence (6 papers), DNA and Biological Computing (6 papers), Multi-Criteria Decision Making (4 papers), Disaster Management and Resilience (4 papers), Advanced Materials and Mechanics (4 papers), Neural Networks Stability and Synchronization (3 papers) and Sustainable Supply Chain Management (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (69 citations), Computational Theory and Mathematics (107 citations) and Computer Vision and Pattern Recognition (102 citations). Panagiotis Tzionas has collaborated with scholars based in Greece, Türkiye and Kazakhstan. Frequent co-authors include Maria Drakaki, Yannis L. Karnavas, A. Thanailakis, Ph. Tsalides, Hacer Güner Gören, Ioannis D. Chasiotis, Ioannis Andreadis, Ioannis G. Karafyllidis, Athanasios Karlis and Vassilis G. Kaburlasos.
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.