Michail E. Kavousanakis
- Computational Mechanics top 10%
- Surfaces, Coatings and Films top 5%
- Electrical and Electronic Engineering
- Materials Chemistry
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Athanasios G. PapathanasiouNikolaos T. ChamakosIoannis G. KevrekidisAndreas G. BoudouvisGeorgios D. StefanidisChristos XiourasCarlos E. ColosquiI.G. Kevrekidis
- Topics
- Mathematical Biology Tumor Growth (7 papers)Surface Modification and Superhydrophobicity (5 papers)Gene Regulatory Network Analysis (4 papers)
- Journals
- Chemical ReviewsPLoS ONELangmuir
- Partner nations
- GreeceUnited StatesUnited Kingdom
In The Last Decade
Michail E. Kavousanakis
31 papers receiving 538 citations
Peers
Comparison fields: 5 of 91
- Computational Mechanics 143
- Surfaces, Coatings and Films 137
- Electrical and Electronic Engineering 120
- Materials Chemistry 116
- Statistical and Nonlinear Physics 94
Countries citing papers authored by Michail E. Kavousanakis
This map shows the geographic impact of Michail E. Kavousanakis'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 Michail E. Kavousanakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michail E. Kavousanakis more than expected).
Fields of papers citing papers by Michail E. Kavousanakis
This network shows the impact of papers produced by Michail E. Kavousanakis. 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 Michail E. Kavousanakis. The network helps show where Michail E. Kavousanakis may publish in the future.
Co-authorship network of co-authors of Michail E. Kavousanakis
This figure shows the co-authorship network connecting the top 25 collaborators of Michail E. Kavousanakis. A scholar is included among the top collaborators of Michail E. Kavousanakis 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 Michail E. Kavousanakis. Michail E. Kavousanakis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 90 | |
| 8 | 20 | |
| 9 | Normal form for the onset of collapse: the prototypical example of the nonlinear Schrodinger equation | 5 |
| 10 | 0 | |
| 11 | 3 | |
| 12 | 27 | |
| 13 | 20 | |
| 14 | 35 | |
| 15 | 18 | |
| 16 | 6 | |
| 17 | 17 | |
| 18 | 21 | |
| 19 | 79 | |
| 20 | 10 |
About Michail E. Kavousanakis
Michail E. Kavousanakis is a scholar working on Modeling and Simulation, Surfaces, Coatings and Films and Filtration and Separation, having authored 36 papers that have together received 554 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (7 papers), Surface Modification and Superhydrophobicity (5 papers) and Gene Regulatory Network Analysis (4 papers). The work is most often cited by research in Surfaces, Coatings and Films (137 citations), Statistical and Nonlinear Physics (94 citations) and Computational Mechanics (143 citations). Michail E. Kavousanakis has collaborated with scholars based in Greece, United States and United Kingdom. Frequent co-authors include Athanasios G. Papathanasiou, Nikolaos T. Chamakos, Ioannis G. Kevrekidis, Andreas G. Boudouvis, Georgios D. Stefanidis, Christos Xiouras, Carlos E. Colosqui, I.G. Kevrekidis, P. G. Kevrekidis and Dionisios G. Vlachos. Their work appears in journals such as Chemical Reviews, PLoS ONE and Langmuir.
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.