Aaron Donsbach

412 citations
7 papers · 228 · h-index 6

Impact in

Papers in

    • Topic Modeling 4
    • Natural Language Processing Techniques 2
    • AI in Service Interactions 2
    • Text Readability and Simplification 1
    • Speech and dialogue systems 1
    • Software Engineering Research 3
    • Software Engineering Techniques and Practices 2
Journals
Communications of the ACM (1 paper)CHI Conference on Human Factors in Computing Systems (1 paper)CHI Conference on Human Factors in Computing Systems Extended Abstracts (2 papers)
Partner nations
United States

In The Last Decade

Aaron Donsbach

7 papers receiving 222 citations

Peers

Aaron Donsbach
Comparison fields: 5 of 54
  • Health Informatics 12
  • Computer Science Applications 34
  • Software 21
  • Human-Computer Interaction 22
  • Artificial Intelligence 108
Replace Mina Lee with:
Mina Lee United States
April Yi Wang United States
Rubia Fatima China
Sangho Suh Canada
Rahul Mohanani Finland
Auste Simkute United Kingdom
Ian Drosos United States
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Arif Nurwidyantoro Australia
Savvas Petridis United States
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Citations per field
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Citations per year

Countries citing papers authored by Aaron Donsbach

Since Specialization
Citations

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

Fields of papers citing papers by Aaron Donsbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Aaron Donsbach, 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 Aaron Donsbach Line = papers co-authored together Aaron Donsbach links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 202298
2 202259
3 202033
4 202416
5 202115
6 20225
7 20242

About Aaron Donsbach

Aaron Donsbach is a scholar working on Artificial Intelligence, Information Systems, Health Informatics, Computer Science Applications and Infectious Diseases, having authored 7 papers that have together received 228 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Software Engineering Research (3 papers), Natural Language Processing Techniques (2 papers), AI in Service Interactions (2 papers), Software Engineering Techniques and Practices (2 papers), Artificial Intelligence in Healthcare and Education (1 paper), Text Readability and Simplification (1 paper) and Speech and dialogue systems (1 paper). The work is most often cited by research in Health Informatics (12 citations), Computer Science Applications (34 citations), Software (21 citations), Human-Computer Interaction (22 citations) and Artificial Intelligence (108 citations). Aaron Donsbach has collaborated with scholars based in United States. Frequent co-authors include Carrie J. Cai, Michael Terry, Ellen Jiang, Daniel J. Liebling, Michal Lahav, Jess Holbrook, Boris Smus, Savvas Petridis, Nitesh Goyal and Mahima Pushkarna. Their work appears in journals such as Communications of the ACM, CHI Conference on Human Factors in Computing Systems and CHI Conference on Human Factors in Computing Systems Extended Abstracts.

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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