Vesna Vuksanović
- Cognitive Neuroscience top 10%
- Cardiology and Cardiovascular Medicine
- Physiology
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Vera GalPhilipp HövelLawrence W. SheppardAneta StefanovskaP. V. E. McClintockAlexander ThieleDavid J. HunterAlison D. Murray
- Topics
- Functional Brain Connectivity Studies (10 papers)Neural dynamics and brain function (8 papers)Heart Rate Variability and Autonomic Control (7 papers)
- Partner nations
- United KingdomSerbiaGermany
In The Last Decade
Vesna Vuksanović
19 papers receiving 381 citations
Peers
Comparison fields: 5 of 73
- Cognitive Neuroscience 158
- Cardiology and Cardiovascular Medicine 141
- Physiology 86
- Biomedical Engineering 77
- Radiology, Nuclear Medicine and Imaging 72
Countries citing papers authored by Vesna Vuksanović
This map shows the geographic impact of Vesna Vuksanović'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 Vesna Vuksanović with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vesna Vuksanović more than expected).
Fields of papers citing papers by Vesna Vuksanović
This network shows the impact of papers produced by Vesna Vuksanović. 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 Vesna Vuksanović. The network helps show where Vesna Vuksanović may publish in the future.
Co-authorship network of co-authors of Vesna Vuksanović
This figure shows the co-authorship network connecting the top 25 collaborators of Vesna Vuksanović. A scholar is included among the top collaborators of Vesna Vuksanović 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 Vesna Vuksanović. Vesna Vuksanović 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 | 3 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 33 | |
| 6 | 19 | |
| 7 | 19 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 52 | |
| 11 | 1 | |
| 12 | 47 | |
| 13 | 70 | |
| 14 | 2 | |
| 15 | 76 | |
| 16 | 41 | |
| 17 | 4 | |
| 18 | 3 | |
| 19 | 12 |
About Vesna Vuksanović
Vesna Vuksanović is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 397 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (10 papers), Neural dynamics and brain function (8 papers) and Heart Rate Variability and Autonomic Control (7 papers). The work is most often cited by research in Cognitive Neuroscience (158 citations), Cardiology and Cardiovascular Medicine (141 citations) and Behavioral Neuroscience (18 citations). Vesna Vuksanović has collaborated with scholars based in United Kingdom, Serbia and Germany. Frequent co-authors include Vera Gal, Philipp Hövel, Lawrence W. Sheppard, Aneta Stefanovska, P. V. E. McClintock, Alexander Thiele, David J. Hunter, Alison D. Murray, Xing Chen and Claude M. Wischik. Their work appears in journals such as NeuroImage, Annals of the New York Academy of Sciences and European Journal of Neuroscience.
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.