R. Jordan Crouser

1.2k citations
32 papers · 665 indexed · h-index 12
Topics
Data Visualization and Analytics (16 papers)Mobile Crowdsensing and Crowdsourcing (4 papers)Mental Health Research Topics (4 papers)

In The Last Decade

R. Jordan Crouser

27 papers receiving 626 citations

Peers

R. Jordan Crouser
Comparison fields: 5 of 79
  • Computer Vision and Pattern Recognition 288
  • Computer Science Applications 217
  • Human-Computer Interaction 200
  • Artificial Intelligence 112
  • Developmental and Educational Psychology 84
Replace Giuseppe Desolda with:
Giuseppe Desolda Italy
Rebecca Fiebrink United Kingdom
Matthew Butler Australia
Viktoria Pammer‐Schindler Austria
Nicoletta Di Blas Italy
Reinhard Oppermann Germany
Hugo Fukś Brazil
Taciana Pontual Falcão Brazil
Paul Parsons United States
Adam Drozd United Kingdom
R. Jordan Crouser relative to Giuseppe Desolda Italy Giuseppe Desolda's profile →
Citations per field
00.5×2.8×
Giuseppe Desolda · 1×
Citations per year

Countries citing papers authored by R. Jordan Crouser

Since Specialization
Citations

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

Fields of papers citing papers by R. Jordan Crouser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Jordan Crouser. 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 R. Jordan Crouser. The network helps show where R. Jordan Crouser may publish in the future.

Co-authorship network of co-authors of R. Jordan Crouser

This figure shows the co-authorship network connecting the top 25 collaborators of R. Jordan Crouser. A scholar is included among the top collaborators of R. Jordan Crouser 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 R. Jordan Crouser. R. Jordan Crouser 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 2
2 0
3 6
4 31
5 11
6 0
7 3
8
Beyond detection: investing in practical and theoretical applications of emotion + visualization
1
9 7
10 2
11 2
12 44
13 12
14 42
15 35
16 37
17 6
18 51
19 146
20 1

About R. Jordan Crouser

R. Jordan Crouser is a scholar working on Computer Science Applications, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 665 indexed citations. Recurring topics across this work include Data Visualization and Analytics (16 papers), Mobile Crowdsensing and Crowdsourcing (4 papers) and Mental Health Research Topics (4 papers). The work is most often cited by research in Computer Science Applications (217 citations), Human-Computer Interaction (200 citations) and Computer Vision and Pattern Recognition (288 citations). R. Jordan Crouser has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Michael Horn, Marina Umaschi Bers, Remco Chang, Robert J. K. Jacob, Erin Solovey, Alvitta Ottley, Caroline Ziemkiewicz, William Ribarsky, Zhengliang Liu and Lyndsey Franklin. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum.

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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