Philip Doganis
- Materials Chemistry
- Management Science and Operations Research top 5%
- Computational Theory and Mathematics top 5%
- Industrial and Manufacturing Engineering top 5%
- Management Information Systems top 5%
- Co-authors
- Haralambos SarimveisAlex AlexandridisPanagiotis PatrinosEleni AggelogiannakiAntreas AfantitisGeorgia MelagrakiIseult LynchMary Gulumian
- Topics
- Advanced Control Systems Optimization (6 papers)Computational Drug Discovery Methods (5 papers)Fault Detection and Control Systems (4 papers)
- Cited by
- Management Information SystemsIndustrial and Manufacturing EngineeringManagement Science and Operations Research
- Partner nations
- GreeceUnited KingdomUnited States
In The Last Decade
Philip Doganis
21 papers receiving 611 citations
Peers
Comparison fields: 5 of 119
- Materials Chemistry 149
- Management Science and Operations Research 113
- Computational Theory and Mathematics 97
- Industrial and Manufacturing Engineering 94
- Management Information Systems 88
Countries citing papers authored by Philip Doganis
This map shows the geographic impact of Philip Doganis'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 Philip Doganis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Doganis more than expected).
Fields of papers citing papers by Philip Doganis
This network shows the impact of papers produced by Philip Doganis. 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 Philip Doganis. The network helps show where Philip Doganis may publish in the future.
Co-authorship network of co-authors of Philip Doganis
This figure shows the co-authorship network connecting the top 25 collaborators of Philip Doganis. A scholar is included among the top collaborators of Philip Doganis 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 Philip Doganis. Philip Doganis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 52 | |
| 3 | 3 | |
| 4 | 17 | |
| 5 | 40 | |
| 6 | 36 | |
| 7 | 44 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 8 | |
| 11 | 79 | |
| 12 | 7 | |
| 13 | 5 | |
| 14 | 31 | |
| 15 | 6 | |
| 16 | 35 | |
| 17 | 31 | |
| 18 | 50 | |
| 19 | 54 | |
| 20 | 132 |
About Philip Doganis
Philip Doganis is a scholar working on Biophysics, Computational Theory and Mathematics and Control and Systems Engineering, having authored 21 papers that have together received 648 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (6 papers), Computational Drug Discovery Methods (5 papers) and Fault Detection and Control Systems (4 papers). The work is most often cited by research in Management Information Systems (88 citations), Industrial and Manufacturing Engineering (94 citations) and Management Science and Operations Research (113 citations). Philip Doganis has collaborated with scholars based in Greece, United Kingdom and United States. Frequent co-authors include Haralambos Sarimveis, Alex Alexandridis, Panagiotis Patrinos, Eleni Aggelogiannaki, Antreas Afantitis, Georgia Melagraki, Iseult Lynch, Mary Gulumian, Natasha Sanabria and Wells Utembe. Their work appears in journals such as Nature Nanotechnology, Small and International Journal of Production Economics.
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.