Ioannis Messaris
- Electrical and Electronic Engineering top 10%
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience top 10%
- Computer Networks and Communications top 10%
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Ronald TetzlaffAlon AscoliLeon O. ChuaAhmet Şamil DemirkolS. NikolaidisAlexander SerbThemis ProdromakisAli Khiat
- Topics
- Advanced Memory and Neural Computing (40 papers)Neural dynamics and brain function (20 papers)Neuroscience and Neural Engineering (17 papers)
- Cited by
- Cellular and Molecular NeuroscienceCognitive NeuroscienceElectrical and Electronic Engineering
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsJapanese Journal of Applied Physics
- Partner nations
- GermanyUnited StatesGreece
In The Last Decade
Ioannis Messaris
45 papers receiving 418 citations
Peers
Comparison fields: 5 of 23
- Electrical and Electronic Engineering 416
- Cognitive Neuroscience 157
- Cellular and Molecular Neuroscience 153
- Computer Networks and Communications 98
- Statistical and Nonlinear Physics 83
Countries citing papers authored by Ioannis Messaris
This map shows the geographic impact of Ioannis Messaris'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 Ioannis Messaris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ioannis Messaris more than expected).
Fields of papers citing papers by Ioannis Messaris
This network shows the impact of papers produced by Ioannis Messaris. 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 Ioannis Messaris. The network helps show where Ioannis Messaris may publish in the future.
Co-authorship network of co-authors of Ioannis Messaris
This figure shows the co-authorship network connecting the top 25 collaborators of Ioannis Messaris. A scholar is included among the top collaborators of Ioannis Messaris 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 Ioannis Messaris. Ioannis Messaris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 0 | |
| 14 | 0 | |
| 15 | 50 | |
| 16 | 1 | |
| 17 | 76 | |
| 18 | 11 | |
| 19 | 1 | |
| 20 | 12 |
About Ioannis Messaris
Ioannis Messaris is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 51 papers that have together received 436 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (40 papers), Neural dynamics and brain function (20 papers) and Neuroscience and Neural Engineering (17 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (153 citations), Cognitive Neuroscience (157 citations) and Electrical and Electronic Engineering (416 citations). Ioannis Messaris has collaborated with scholars based in Germany, United States and Greece. Frequent co-authors include Ronald Tetzlaff, Alon Ascoli, Leon O. Chua, Ahmet Şamil Demirkol, S. Nikolaidis, Alexander Serb, Themis Prodromakis, Ali Khiat, Spyros Stathopoulos and R. Stanley Williams. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Japanese Journal of Applied Physics.
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.