Michael Ε. Filippakis

412 citations
46 papers · 305 · h-index 8

Impact in

Papers in

Michael Ε. Filippakis

41 papers receiving 277 citations

Peers

Michael Ε. Filippakis
Comparison fields: 5 of 28
  • Applied Mathematics 241
  • Computational Theory and Mathematics 16
  • Management Science and Operations Research 15
  • Health Information Management 6
  • Modeling and Simulation 3
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Carlo Mariconda Italy
Tiago Mendonça da Costa Brazil
Michael Stieglitz Germany
M. Khezerloo Iran
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Citations per field
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Citations per year

Countries citing papers authored by Michael Ε. Filippakis

Since Specialization
Citations

This map shows the geographic impact of Michael Ε. Filippakis'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 Michael Ε. Filippakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Ε. Filippakis more than expected).

Fields of papers citing papers by Michael Ε. Filippakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Ε. Filippakis. 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 Michael Ε. Filippakis. The network helps show where Michael Ε. Filippakis may publish in the future.

Co-authors

The 19 scholars most cited alongside Michael Ε. Filippakis, 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 Michael Ε. Filippakis Line = papers co-authored together Michael Ε. Filippakis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200867
2 200940
3 202223
4 200620
5 200514
6 201013
7 200612
8 20059
9 20048
10 20057
11
PERIODIC SOLUTIONS FOR DIFFERENTIAL INCLUSIONS IN R N
20067
12 20066
13 20096
14 20106
15 20226
16 20045
17 20075
18 20235
19 20064
20 20134

About Michael Ε. Filippakis

Michael Ε. Filippakis is a scholar working on Applied Mathematics, Computational Theory and Mathematics, Health Information Management, Modeling and Simulation and Software, having authored 46 papers that have together received 305 indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (28 papers), Nonlinear Differential Equations Analysis (10 papers), Contact Mechanics and Variational Inequalities (3 papers), Cloud Computing and Resource Management (2 papers), Artificial Intelligence in Healthcare (2 papers), Data Quality and Management (1 paper), COVID-19 Clinical Research Studies (1 paper) and Mathematical and Theoretical Epidemiology and Ecology Models (1 paper). The work is most often cited by research in Applied Mathematics (241 citations), Computational Theory and Mathematics (16 citations), Management Science and Operations Research (15 citations), Health Information Management (6 citations) and Modeling and Simulation (3 citations). Michael Ε. Filippakis has collaborated with scholars based in Greece, Poland and Ireland. Frequent co-authors include Nikolaos S. Papageorgiou, Leszek Gasiński, Alexandru Kristály, Donal O’Regan, Georgios Makridis, Georgios Fatouros, Dimosthenis Kyriazis, John K. Soldatos, Ravi P. Agarwal and Ariana Polyviou. Their work appears in journals such as Nonlinear Analysis, Positivity, Communications on Pure & Applied Analysis, Nonlinear Differential Equations and Applications NoDEA and Atherosclerosis.

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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