Ben Steichen

38 papers receiving 731 citations

Peers

Ben Steichen
Comparison fields: 5 of 65
  • Human-Computer Interaction 245
  • Computer Vision and Pattern Recognition 390
  • Computer Science Applications 67
  • Experimental and Cognitive Psychology 106
  • Artificial Intelligence 272
Replace Jonathan I. Helfman with:
Jonathan I. Helfman United States
Dereck Toker Canada
Paul Vickers United Kingdom
Ephraim P. Glinert United States
R. Jordan Crouser United States
Purvi Saraiya United States
Pernilla Qvarfordt United States
Melanie Kellar Canada
Anton Eliëns Netherlands
Tanja Blascheck Germany
Ben Steichen relative to Jonathan I. Helfman United States Jonathan I. Helfman's profile →
Citations per field
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Jonathan I. Helfman · 1×
Citations per year

Countries citing papers authored by Ben Steichen

Since Specialization
Citations

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

Fields of papers citing papers by Ben Steichen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Ben Steichen, 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 Ben Steichen Line = papers co-authored together Ben Steichen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013122
2 2013112
3 201469
4 201465
5 201254
6 201454
7 201433
8 201425
9 201920
10 201420
11 201820
12 201116
13 200915
14 201513
15
When to Adapt: Detecting User's Confusion During Visualization Processing.
201311
16 202011
17 201911
18 202010
19 20089
20 20178

About Ben Steichen

Ben Steichen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Human-Computer Interaction and Computer Science Applications, having authored 38 papers that have together received 762 indexed citations. Recurring topics across this work include Data Visualization and Analytics (16 papers), Information Retrieval and Search Behavior (13 papers), Advanced Text Analysis Techniques (9 papers), Expert finding and Q&A systems (6 papers), Web Data Mining and Analysis (6 papers), Semantic Web and Ontologies (6 papers), Gaze Tracking and Assistive Technology (6 papers) and Recommender Systems and Techniques (5 papers). The work is most often cited by research in Human-Computer Interaction (245 citations), Computer Vision and Pattern Recognition (390 citations), Computer Science Applications (67 citations), Experimental and Cognitive Psychology (106 citations) and Artificial Intelligence (272 citations). Ben Steichen has collaborated with scholars based in United States, Canada and Ireland. Frequent co-authors include Cristina Conati, Giuseppe Carenini, Dereck Toker, Vincent Wade, Bo Fu, Enamul Hoque, Helen Ashman, Alexander O’Connor, James T. Enns and Ryan Lowe. Their work appears in journals such as International Journal of Human-Computer Interaction, ACM Transactions on Interactive Intelligent Systems, Information Processing & Management, ACM SIGIR Forum and Journal of the Association for Information Science and Technology.

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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