G. Kozmann

450 citations
31 papers · 355 · h-index 6

Impact in

Papers in

G. Kozmann

25 papers receiving 339 citations

Peers

G. Kozmann
Comparison fields: 5 of 68
  • Cognitive Neuroscience 227
  • Signal Processing 46
  • Cardiology and Cardiovascular Medicine 75
  • Human-Computer Interaction 21
  • Cellular and Molecular Neuroscience 46
Replace Shubham J. Dodia with:
Shubham J. Dodia India
Katharine Brigham United States
Izabela Rejer Poland
Trilok Chand India
Zhendong Mu China
Nurettin Acır Türkiye
Md. Nurul Ahad Tawhid Australia
H. Gholam Hosseini New Zealand
Pekka Loula Finland
Luis Alfredo Moctezuma Norway
G. Kozmann relative to Shubham J. Dodia India Shubham J. Dodia's profile →
Citations per field
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Shubham J. Dodia · 1×
Citations per year

Countries citing papers authored by G. Kozmann

Since Specialization
Citations

This map shows the geographic impact of G. Kozmann'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 G. Kozmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Kozmann more than expected).

Fields of papers citing papers by G. Kozmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Kozmann. 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 G. Kozmann. The network helps show where G. Kozmann may publish in the future.

Co-authors

The 25 scholars most cited alongside G. Kozmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G. Kozmann Line = papers co-authored together G. Kozmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014221
2 200530
3 198922
4 200220
5 20027
6 20056
7 20106
8
Validity of viscoelastic models of blood vessel wall.
19996
9 19916
10 20155
11 20044
12 19914
13 20022
14 20152
15 19862
16 20122
17 20121
18 20171
19 20021
20 20051

About G. Kozmann

G. Kozmann is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Statistics, Probability and Uncertainty, Analytical Chemistry and Signal Processing, having authored 31 papers that have together received 355 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (7 papers), Cardiac electrophysiology and arrhythmias (7 papers), ECG Monitoring and Analysis (7 papers), Cardiac Arrhythmias and Treatments (4 papers), Neural dynamics and brain function (4 papers), Advanced Statistical Process Monitoring (2 papers), Spectroscopy and Chemometric Analyses (2 papers) and Functional Brain Connectivity Studies (2 papers). The work is most often cited by research in Cognitive Neuroscience (227 citations), Signal Processing (46 citations), Cardiology and Cardiovascular Medicine (75 citations), Human-Computer Interaction (21 citations) and Cellular and Molecular Neuroscience (46 citations). G. Kozmann has collaborated with scholars based in Hungary, United States and Slovakia. Frequent co-authors include Fabio Babiloni, Daria La Rocca, Patrizio Campisi, István Vassányi, Robert L. Lux, István Maros, László Gerencsér, Mihály Orosz, E. Monos and Zoltán Juhász. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Yearbook of Medical Informatics, Advances in cardiology, Circulation and Nuclear Medicine Communications.

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.

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