Ştefan Mihalaş
- Cognitive Neuroscience top 1%
- Cellular and Molecular Neuroscience top 2%
- Electrical and Electronic Engineering top 10%
- Molecular Biology
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Ernst NieburRamakrishnan IyerChristof KochVijay Mohan K NamboodiriR. von der HeydtYi DongMary B. KennedyNicholas Cain
- Topics
- Neural dynamics and brain function (48 papers)Visual perception and processing mechanisms (20 papers)Advanced Memory and Neural Computing (17 papers)
- Partner nations
- United StatesAustraliaChile
In The Last Decade
Ştefan Mihalaş
71 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 135
- Cognitive Neuroscience 1.7k
- Cellular and Molecular Neuroscience 978
- Electrical and Electronic Engineering 440
- Molecular Biology 438
- Statistical and Nonlinear Physics 200
Countries citing papers authored by Ştefan Mihalaş
This map shows the geographic impact of Ştefan Mihalaş'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 Ştefan Mihalaş with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ştefan Mihalaş more than expected).
Fields of papers citing papers by Ştefan Mihalaş
This network shows the impact of papers produced by Ştefan Mihalaş. 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 Ştefan Mihalaş. The network helps show where Ştefan Mihalaş may publish in the future.
Co-authorship network of co-authors of Ştefan Mihalaş
This figure shows the co-authorship network connecting the top 25 collaborators of Ştefan Mihalaş. A scholar is included among the top collaborators of Ştefan Mihalaş 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 Ştefan Mihalaş. Ştefan Mihalaş 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 | 1 | |
| 3 | 3 | |
| 4 | 100 | |
| 5 | 12 | |
| 6 | 11 | |
| 7 | 12 | |
| 8 | 14 | |
| 9 | 31 | |
| 10 | 58 | |
| 11 | 129 | |
| 12 | 20 | |
| 13 | 27 | |
| 14 | 18 | |
| 15 | Nonnegative spline regression of incomplete tracing data reveals high resolution neural connectivity | 1 |
| 16 | 16 | |
| 17 | 12 | |
| 18 | 12 | |
| 19 | 69 | |
| 20 | 131 |
About Ştefan Mihalaş
Ştefan Mihalaş is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and General Decision Sciences, having authored 72 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (48 papers), Visual perception and processing mechanisms (20 papers) and Advanced Memory and Neural Computing (17 papers). The work is most often cited by research in Cognitive Neuroscience (1.7k citations), Cellular and Molecular Neuroscience (978 citations) and Sensory Systems (107 citations). Ştefan Mihalaş has collaborated with scholars based in United States, Australia and Chile. Frequent co-authors include Ernst Niebur, Ramakrishnan Iyer, Christof Koch, Vijay Mohan K Namboodiri, R. von der Heydt, Yi Dong, Mary B. Kennedy, Nicholas Cain, Christopher D. Deppmann and Alfredo Kirkwood. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.
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.