Marko Vuskovic

23 papers receiving 488 citations

Peers

Marko Vuskovic
Comparison fields: 5 of 81
  • Radiology, Nuclear Medicine and Imaging 135
  • Human-Computer Interaction 31
  • Immunology 112
  • Cognitive Neuroscience 83
  • Molecular Biology 261
Replace Kwanghyun Lee with:
Kwanghyun Lee South Korea
Jens Reinhardt Germany
Kazumi Kobayashi Japan
Jin Hak Lee South Korea
Ke An China
Akinori Sasaki Japan
Peter Spies Germany
Chia‐Wei Chou Taiwan
Marko Vuskovic relative to Kwanghyun Lee South Korea Kwanghyun Lee's profile →
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Citations per year

Countries citing papers authored by Marko Vuskovic

Since Specialization
Citations

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

Fields of papers citing papers by Marko Vuskovic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marko Vuskovic, 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 Marko Vuskovic Line = papers co-authored together Marko Vuskovic links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009161
2 200590
3 201269
4 201160
5 200335
6 201120
7 201318
8 200512
9 20027
10 20025
11 20144
12 20024
13 20024
14 20133
15 19902
16 20022
17 20022
18 20052
19 20032
20
Prediction of Sickle Cell Anemia Patient's Response to Hydroxyurea Treatment Using ARTMAP Network.
20031

About Marko Vuskovic

Marko Vuskovic is a scholar working on Molecular Biology, Control and Systems Engineering, Biomedical Engineering, Cognitive Neuroscience and Artificial Intelligence, having authored 24 papers that have together received 506 indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (7 papers), Glycosylation and Glycoproteins Research (7 papers), Neural Networks and Applications (4 papers), Robot Manipulation and Learning (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Diabetes and associated disorders (3 papers), Hand Gesture Recognition Systems (3 papers) and Muscle activation and electromyography studies (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (135 citations), Human-Computer Interaction (31 citations), Immunology (112 citations), Cognitive Neuroscience (83 citations) and Molecular Biology (261 citations). Marko Vuskovic has collaborated with scholars based in United States, Russia and Switzerland. Frequent co-authors include Margaret E. Huflejt, Nicolai V. Bovin, Polina Obukhova, Nadezhda Shilova, Hongyu Xu, Oxana Galanina, Banu Arun, Karen H. Lu, Alexander Tuzikov and Carlo Unverzagt. Their work appears in journals such as Journal of Clinical Oncology, Mathematical and Computer Modelling, Journal of Glaucoma, Biochimica et Biophysica Acta (BBA) - General Subjects and International Journal of Cancer.

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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