Jolanda G. Tromp

16 papers receiving 243 citations

Peers

Jolanda G. Tromp
Comparison fields: 5 of 61
  • Human-Computer Interaction 223
  • Computer Vision and Pattern Recognition 93
  • Social Psychology 83
  • Control and Systems Engineering 26
  • Cognitive Neuroscience 26
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Citations per field
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Citations per year

Countries citing papers authored by Jolanda G. Tromp

Since Specialization
Citations

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

Fields of papers citing papers by Jolanda G. Tromp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jolanda G. Tromp

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 5
4 6
5
Exploring Earth's interior in collaborative immersive VR environments
1
6 2
7
A Pairing Free Secure Identity-based Aggregate Signature Scheme Under Random Oracle
2
8
An Improved Gene Expression Programming Based on Niche Technology of Outbreeding Fusion
0
9 1
10 50
11 17
12
Achieving Integration of Knowledge and Content Technologies: The aceMedia Project.
5
13 50
14 59
15
COllaborative Virtual ENvironments: Experiments on Small Group Behaviour in the COVEN Project
0
16
Usability evaluation for virtual environments: methods, results and future directions (part 1)
3
17 16
18 53
19 17
20 4

About Jolanda G. Tromp

Jolanda G. Tromp is a scholar working on Human-Computer Interaction, Health Informatics and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 291 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (9 papers), Augmented Reality Applications (5 papers) and Usability and User Interface Design (4 papers). The work is most often cited by research in Human-Computer Interaction (223 citations), Computer Vision and Pattern Recognition (93 citations) and Social Psychology (83 citations). Jolanda G. Tromp has collaborated with scholars based in United Kingdom, United States and Vietnam. Frequent co-authors include Anthony Steed, Mel Slater, Adrian Bullock, Amela Sadagić, Ilona Heldal, John R. Wilson, Ralph Schroeder, Dave Snowdon, Emmanuel Frécon and Harshada Patel. Their work appears in journals such as Applied Sciences, International Journal of Human-Computer Studies and IEEE Computer Graphics and Applications.

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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