Vidas Raudonis

1.1k citations
56 papers · 736 · h-index 15

Impact in

Papers in

Vidas Raudonis

51 papers receiving 701 citations

Peers

Vidas Raudonis
Comparison fields: 5 of 114
  • Human-Computer Interaction 83
  • Health Informatics 15
  • Computer Vision and Pattern Recognition 223
  • Industrial and Manufacturing Engineering 104
  • Reproductive Medicine 40
Replace Rahul Chauhan with:
Rahul Chauhan India
Riasat Khan Bangladesh
José M. Celaya-Padilla Mexico
Aouache Mustapha Algeria
Bruno Fernandes Brazil
M. Udin Harun Al Rasyid Indonesia
Dat Tien Nguyen South Korea
M. A. Viraj J. Muthugala Singapore
Yi‐Zeng Hsieh Taiwan
María Teresa Garcí­a-Ordás Spain
Vidas Raudonis relative to Rahul Chauhan India Rahul Chauhan's profile →
Citations per field
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Rahul Chauhan · 1×
Citations per year

Countries citing papers authored by Vidas Raudonis

Since Specialization
Citations

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

Fields of papers citing papers by Vidas Raudonis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019118
2 202260
3 201944
4 201938
5 201638
6 202036
7 201936
8 201932
9 201832
10 202230
11 201330
12 202324
13 200923
14 201218
15 201917
16 202312
17 202111
18 200711
19 202410
20 201810

About Vidas Raudonis

Vidas Raudonis is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Artificial Intelligence, Control and Systems Engineering and Public Health, Environmental and Occupational Health, having authored 56 papers that have together received 736 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (8 papers), Robotic Path Planning Algorithms (6 papers), Hand Gesture Recognition Systems (5 papers), Human Pose and Action Recognition (4 papers), Video Surveillance and Tracking Methods (4 papers), Reproductive Biology and Fertility (4 papers), Control and Dynamics of Mobile Robots (3 papers) and Video Analysis and Summarization (3 papers). The work is most often cited by research in Human-Computer Interaction (83 citations), Health Informatics (15 citations), Computer Vision and Pattern Recognition (223 citations), Industrial and Manufacturing Engineering (104 citations) and Reproductive Medicine (40 citations). Vidas Raudonis has collaborated with scholars based in Lithuania, Estonia and Poland. Frequent co-authors include Rytis Maskeliūnas, Robertas Damaševičius, Agnė Paulauskaitė-Tarasevičienė, Kristina Šutienė, Rimvydas Simutis, Evaldas Šerelis, Vitoldas Vaitkevičius, Danutė Vaičiukynienė, Rafał Scherer and Žymantas Rudžionis. Their work appears in journals such as Sensors, Applied Sciences, Animals, Electronics and Sustainability.

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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