Philip Doganis

1.2k total citations
21 papers, 648 citations indexed

About

Philip Doganis is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Philip Doganis has authored 21 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Control and Systems Engineering, 5 papers in Computational Theory and Mathematics and 4 papers in Materials Chemistry. Recurrent topics in Philip Doganis's work include Advanced Control Systems Optimization (6 papers), Computational Drug Discovery Methods (5 papers) and Fault Detection and Control Systems (4 papers). Philip Doganis is often cited by papers focused on Advanced Control Systems Optimization (6 papers), Computational Drug Discovery Methods (5 papers) and Fault Detection and Control Systems (4 papers). Philip Doganis collaborates with scholars based in Greece, United Kingdom and United States. Philip Doganis's co-authors include Haralambos Sarimveis, Alex Alexandridis, Panagiotis Patrinos, Eleni Aggelogiannaki, Antreas Afantitis, Georgia Melagraki, Iseult Lynch, Mary Gulumian, Natasha Sanabria and Wells Utembe and has published in prestigious journals such as Nature Nanotechnology, Small and International Journal of Production Economics.

In The Last Decade

Philip Doganis

21 papers receiving 611 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip Doganis Greece 12 149 113 97 94 88 21 648
Amit Kumar Gupta‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ India 21 95 0.6× 61 0.5× 28 0.3× 295 3.1× 110 1.3× 104 1.4k
Jialin Han China 13 39 0.3× 72 0.6× 90 0.9× 133 1.4× 61 0.7× 33 598
Mohamed Ahmed Kuwait 11 116 0.8× 59 0.5× 38 0.4× 62 0.7× 43 0.5× 22 396
Yajuan Zhang China 14 77 0.5× 76 0.7× 50 0.5× 80 0.9× 27 0.3× 34 780
Mikkel T. Jensen Denmark 12 251 1.7× 83 0.7× 290 3.0× 244 2.6× 52 0.6× 15 1.1k
J. Rajesh India 8 73 0.5× 45 0.4× 121 1.2× 47 0.5× 12 0.1× 14 506
Chunxia Yu China 13 38 0.3× 354 3.1× 44 0.5× 107 1.1× 156 1.8× 43 799
Ya Gao Australia 10 33 0.2× 89 0.8× 123 1.3× 75 0.8× 76 0.9× 27 574
George J. Besseris Greece 13 50 0.3× 140 1.2× 25 0.3× 61 0.6× 106 1.2× 64 523
Zulema Lopes Pereira Portugal 12 33 0.2× 125 1.1× 66 0.7× 45 0.5× 129 1.5× 20 711

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-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

20 of 20 papers shown
1.
Doganis, Philip, et al.. (2023). Development of artificial neural network models to predict the PAMPA effective permeability of new, orally administered drugs active against the coronavirus SARS-CoV-2. Network Modeling Analysis in Health Informatics and Bioinformatics. 12(1). 5 indexed citations
2.
Mikołajczyk, Alicja, Iseult Lynch, Nina Jeliazkova, et al.. (2022). Representing and describing nanomaterials in predictive nanoinformatics. Nature Nanotechnology. 17(9). 924–932. 52 indexed citations
3.
Robinson, Richard Marchese, Haralambos Sarimveis, Philip Doganis, et al.. (2021). Identifying diverse metal oxide nanomaterials with lethal effects on embryonic zebrafish using machine learning. Beilstein Journal of Nanotechnology. 12. 1297–1325. 3 indexed citations
4.
Robinson, Richard Marchese, Philip Doganis, Terry Wilkins, et al.. (2021). Machine learning predictions of concentration-specific aggregate hazard scores of inorganic nanomaterials in embryonic zebrafish. Nanotoxicology. 15(4). 446–476. 17 indexed citations
5.
Papadiamantis, Anastasios G., Frederick C. Klaessig, Thomas E. Exner, et al.. (2020). Metadata Stewardship in Nanosafety Research: Community-Driven Organisation of Metadata Schemas to Support FAIR Nanoscience Data. Nanomaterials. 10(10). 2033–2033. 40 indexed citations
6.
Melagraki, Georgia, Laura‐Jayne A. Ellis, Iseult Lynch, et al.. (2020). Development of Deep Learning Models for Predicting the Effects of Exposure to Engineered Nanomaterials on Daphnia magna. Small. 16(36). e2001080–e2001080. 36 indexed citations
7.
Utembe, Wells, Harvey J. Clewell, Natasha Sanabria, Philip Doganis, & Mary Gulumian. (2020). Current Approaches and Techniques in Physiologically Based Pharmacokinetic (PBPK) Modelling of Nanomaterials. Nanomaterials. 10(7). 1267–1267. 44 indexed citations
8.
Exner, Thomas E., Lucian Farcal, Chris T. Evelo, et al.. (2018). OpenRiskNet, an open e-infrastructure to support data sharing, knowledge integration and in silico analysis and modelling in risk assessment. Toxicology Letters. 295. S104–S104. 1 indexed citations
9.
Tsiliki, Georgia, et al.. (2017). Jaqpot Quattro: A Novel Computational Web Platform for Modeling and Analysis in Nanoinformatics. Journal of Chemical Information and Modeling. 57(9). 2161–2172. 9 indexed citations
10.
Doganis, Philip, et al.. (2016). Decision Trees for Continuous Data and Conditional Mutual Information as a Criterion for Splitting Instances. Combinatorial Chemistry & High Throughput Screening. 19(5). 423–428. 8 indexed citations
11.
Jeliazkova, Nina, Philip Doganis, Bengt Fadeel, et al.. (2015). The eNanoMapper database for nanomaterial safety information. Beilstein Journal of Nanotechnology. 6. 1609–1634. 79 indexed citations
12.
Jeliazkova, Nina, Philip Doganis, Bengt Fadeel, et al.. (2014). The first eNanoMapper prototype: A substance database to support safe-by-design. Research Publications (Maastricht University). 311. 1–9. 7 indexed citations
13.
Doganis, Philip & Haralambos Sarimveis. (2013). Optimization of power production through coordinated use of hydroelectric and conventional power units. Applied Mathematical Modelling. 38(7-8). 2051–2062. 5 indexed citations
14.
Aggelogiannaki, Eleni, Philip Doganis, & Haralambos Sarimveis. (2008). An adaptive model predictive control configuration for production–inventory systems. International Journal of Production Economics. 114(1). 165–178. 31 indexed citations
15.
Doganis, Philip, Eleni Aggelogiannaki, & Haralambos Sarimveis. (2008). A Model Predictive Control And Time Series Forecasting Framework For Supply Chain Management. Zenodo (CERN European Organization for Nuclear Research). 6 indexed citations
16.
Doganis, Philip, Eleni Aggelogiannaki, & Haralambos Sarimveis. (2008). A combined model predictive control and time series forecasting framework for production-inventory systems. International Journal of Production Research. 46(24). 6841–6853. 35 indexed citations
17.
Doganis, Philip & Haralambos Sarimveis. (2007). Optimal production scheduling for the dairy industry. Annals of Operations Research. 159(1). 315–331. 31 indexed citations
18.
Doganis, Philip & Haralambos Sarimveis. (2006). Optimal scheduling in a yogurt production line based on mixed integer linear programming. Journal of Food Engineering. 80(2). 445–453. 50 indexed citations
19.
Sarimveis, Haralambos, Philip Doganis, & Alex Alexandridis. (2005). A classification technique based on radial basis function neural networks. Advances in Engineering Software. 37(4). 218–221. 54 indexed citations
20.
Doganis, Philip, Alex Alexandridis, Panagiotis Patrinos, & Haralambos Sarimveis. (2005). Time series sales forecasting for short shelf-life food products based on artificial neural networks and evolutionary computing. Journal of Food Engineering. 75(2). 196–204. 132 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Amit Kumar Gupta‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ Breakdown of academic impact, for papers by Jialin Han Breakdown of academic impact, for papers by Mohamed Ahmed Breakdown of academic impact, for papers by Yajuan Zhang Breakdown of academic impact, for papers by Mikkel T. Jensen Breakdown of academic impact, for papers by J. Rajesh Breakdown of academic impact, for papers by Chunxia Yu Breakdown of academic impact, for papers by Ya Gao Breakdown of academic impact, for papers by George J. Besseris Breakdown of academic impact, for papers by Zulema Lopes Pereira
Rankless by CCL
2026