Iveta Eimontaite

22 papers receiving 340 citations

Peers

Iveta Eimontaite
Comparison fields: 5 of 89
  • Human-Computer Interaction 41
  • Industrial and Manufacturing Engineering 67
  • Medical Laboratory Technology 8
  • Social Psychology 103
  • Radiological and Ultrasound Technology 17
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Marja Liinasuo Finland
Verena Nitsch Germany
Setia Hermawati United Kingdom
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Seul Chan Lee South Korea
Mirabelle D’Cruz United Kingdom
Hannu Karvonen Finland
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Citations per year

Countries citing papers authored by Iveta Eimontaite

Since Specialization
Citations

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

Fields of papers citing papers by Iveta Eimontaite

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202161
2 202253
3 201834
4 201730
5 201923
6 201521
7 201718
8 201818
9 202015
10 201912
11 20209
12 20179
13 20229
14 20137
15 20187
16 20236
17 20206
18 20193
19
Cobotics: developing a visual language for human-robotic collaborations
20183
20 20211

About Iveta Eimontaite

Iveta Eimontaite is a scholar working on Social Psychology, Sociology and Political Science, Cognitive Neuroscience, Mechanical Engineering and Human-Computer Interaction, having authored 25 papers that have together received 347 indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (9 papers), Teleoperation and Haptic Systems (4 papers), Robot Manipulation and Learning (3 papers), Digital Transformation in Industry (3 papers), AI in Service Interactions (3 papers), Ergonomics and Human Factors (3 papers), Virtual Reality Applications and Impacts (2 papers) and Psychology of Moral and Emotional Judgment (2 papers). The work is most often cited by research in Human-Computer Interaction (41 citations), Industrial and Manufacturing Engineering (67 citations), Medical Laboratory Technology (8 citations), Social Psychology (103 citations) and Radiological and Ultrasound Technology (17 citations). Iveta Eimontaite has collaborated with scholars based in United Kingdom, China and Canada. Frequent co-authors include Anne‐Marie Oostveen, Shengxiang She, Yan Sun, Sarah Fletcher, David Cameron, Richard Hyde, James Law, Max L. Wilson, Jonathan M. Aitken and Igor Schindler. Their work appears in journals such as Frontiers in Psychology, The International Journal of Advanced Manufacturing Technology, Sustainability, Alzheimer s & Dementia and International Journal of Environmental Research and Public Health.

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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