Philip Doganis

21 papers receiving 629 citations

Peers

Philip Doganis
Comparison fields: 5 of 118
  • Management Information Systems 89
  • Industrial and Manufacturing Engineering 95
  • Management Science and Operations Research 114
  • Computational Theory and Mathematics 97
  • Control and Systems Engineering 84
Replace Chunxia Yu with:
Chunxia Yu China
Zulema Lopes Pereira Portugal
Jialin Han China
Amit Kumar Gupta‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ India
Belmiro P.M. Duarte Portugal
Sung H. Park South Korea
Ya Gao Australia
You‐Jin Park South Korea
Yajuan Zhang China
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Citations per year

Countries citing papers authored by Philip Doganis

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Philip Doganis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Philip Doganis Line = papers co-authored together Philip Doganis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005134
2 201581
3 202258
4 200554
5 200650
6 202045
7 202042
8 202037
9 200836
10 200832
11 200730
12 202117
13 20179
14 20168
15 20147
16 20236
17 20136
18 20086
19 20213
20 20053

About Philip Doganis

Philip Doganis is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics, Materials Chemistry, Industrial and Manufacturing Engineering and Environmental Chemistry, having authored 21 papers that have together received 665 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (6 papers), Nanoparticles: synthesis and applications (4 papers), Computational Drug Discovery Methods (4 papers), Fault Detection and Control Systems (4 papers), Process Optimization and Integration (3 papers), Scheduling and Optimization Algorithms (3 papers), Chemistry and Chemical Engineering (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Management Information Systems (89 citations), Industrial and Manufacturing Engineering (95 citations), Management Science and Operations Research (114 citations), Computational Theory and Mathematics (97 citations) and Control and Systems Engineering (84 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, Wells Utembe, Harvey J. Clewell and Mary Gulumian. Their work appears in journals such as Beilstein Journal of Nanotechnology, Journal of Food Engineering, Nanomaterials, Nanotoxicology 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.

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