Ioannis Vourkas
- Electrical and Electronic Engineering top 5%
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 10%
- Computer Networks and Communications top 10%
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Georgios Ch. SirakoulisAntonio RubioA. C. Abusleme HoffmanVasileios NtinasDimitrios StathisJorge GómezAndrew AdamatzkySaid Hamdioui
- Topics
- Advanced Memory and Neural Computing (74 papers)Ferroelectric and Negative Capacitance Devices (43 papers)Neuroscience and Neural Engineering (33 papers)
In The Last Decade
Ioannis Vourkas
69 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 50
- Electrical and Electronic Engineering 990
- Cellular and Molecular Neuroscience 551
- Cognitive Neuroscience 221
- Computer Networks and Communications 100
- Statistical and Nonlinear Physics 88
Countries citing papers authored by Ioannis Vourkas
This map shows the geographic impact of Ioannis Vourkas'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 Vourkas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ioannis Vourkas more than expected).
Fields of papers citing papers by Ioannis Vourkas
This network shows the impact of papers produced by Ioannis Vourkas. 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 Vourkas. The network helps show where Ioannis Vourkas may publish in the future.
Co-authorship network of co-authors of Ioannis Vourkas
This figure shows the co-authorship network connecting the top 25 collaborators of Ioannis Vourkas. A scholar is included among the top collaborators of Ioannis Vourkas 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 Vourkas. Ioannis Vourkas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 12 | |
| 14 | 49 | |
| 15 | 6 | |
| 16 | 54 | |
| 17 | 13 | |
| 18 | 3 | |
| 19 | 14 | |
| 20 | 9 |
About Ioannis Vourkas
Ioannis Vourkas is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Hardware and Architecture, having authored 78 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (74 papers), Ferroelectric and Negative Capacitance Devices (43 papers) and Neuroscience and Neural Engineering (33 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (551 citations), Electrical and Electronic Engineering (990 citations) and Cognitive Neuroscience (221 citations). Ioannis Vourkas has collaborated with scholars based in Chile, Greece and Spain. Frequent co-authors include Georgios Ch. Sirakoulis, Antonio Rubio, A. C. Abusleme Hoffman, Vasileios Ntinas, Dimitrios Stathis, Jorge Gómez, Andrew Adamatzky, Said Hamdioui, Carlos Fernández and Lucia Valentina Gambuzza. Their work appears in journals such as IEEE Access, Sensors and Journal of Physics D 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.