Tomas Kulvičius

83 total papers · 1.2k total citations
55 papers, 734 citations indexed

About

Tomas Kulvičius is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Control and Systems Engineering. According to data from OpenAlex, Tomas Kulvičius has authored 55 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 16 papers in Cognitive Neuroscience and 14 papers in Control and Systems Engineering. Recurrent topics in Tomas Kulvičius's work include Robot Manipulation and Learning (14 papers), Robotic Path Planning Algorithms (9 papers) and Neural dynamics and brain function (9 papers). Tomas Kulvičius is often cited by papers focused on Robot Manipulation and Learning (14 papers), Robotic Path Planning Algorithms (9 papers) and Neural dynamics and brain function (9 papers). Tomas Kulvičius collaborates with scholars based in Germany, Lithuania and Sweden. Tomas Kulvičius's co-authors include Florentin Wörgötter, Minija Tamošiūnaitė, Florentin Wörgötter, Poramate Manoonpong, KeJun Ning, Bernd Porr, Tao Geng, Luise Poustka, Peter B. Marschik and Dajie Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Tomas Kulvičius

50 papers receiving 721 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tomas Kulvičius 239 201 158 143 141 55 734
Ghasem Azemi 77 0.3× 119 0.6× 352 2.2× 55 0.4× 49 0.3× 54 742
Sharon Stansfield 296 1.2× 125 0.6× 119 0.8× 255 1.8× 85 0.6× 42 698
Hiroki MORI 188 0.8× 114 0.6× 109 0.7× 152 1.1× 79 0.6× 117 669
Kui Xiang 98 0.4× 335 1.7× 66 0.4× 106 0.7× 66 0.5× 78 697
Masahiro Ogino 121 0.5× 47 0.2× 128 0.8× 55 0.4× 135 1.0× 49 720
Andrea Apicella 39 0.2× 48 0.2× 202 1.3× 90 0.6× 194 1.4× 50 780
Xiujuan Zheng 63 0.3× 257 1.3× 130 0.8× 105 0.7× 61 0.4× 54 753
Yoshiyuki Ohmura 284 1.2× 424 2.1× 276 1.7× 78 0.5× 57 0.4× 34 683
Kasper Claes 198 0.8× 188 0.9× 262 1.7× 81 0.6× 72 0.5× 18 861
Aleksandra Kawala‐Sterniuk 74 0.3× 202 1.0× 373 2.4× 75 0.5× 77 0.5× 84 832

Countries citing papers authored by Tomas Kulvičius

Since Specialization
Citations

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

Fields of papers citing papers by Tomas Kulvičius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomas Kulvičius

This figure shows the co-authorship network connecting the top 25 collaborators of Tomas Kulvičius. A scholar is included among the top collaborators of Tomas Kulvičius 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 Tomas Kulvičius. Tomas Kulvičius is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026