Michael Müller

12.9k citations
227 papers · 7.3k indexed · 3 hit papers · h-index 40

Impact in

Papers in

Michael Müller

212 papers receiving 6.7k citations

Hit Papers

Investigating Explainability of Generative AI for Code through Scenario-based Design 2022 · 116 citations
1161993202620042015100200300400500

Peers

Michael Müller
Comparison fields: 5 of 165
  • Human-Computer Interaction 2.1k
  • Computer Science Applications 830
  • Communication 1.0k
  • Information Systems and Management 1.0k
  • Health Informatics 130
Replace Lucy Suchman with:
Lucy Suchman United States
Batya Friedman United States
Bonnie Nardi United States
Jonathan Grudin United States
Clifford Nass United States
Yrjö Engeström Finland
Paul Dourish United States
Jan Marco Leimeister Germany
Tom Rodden United Kingdom
Jan Kietzmann Canada
Michael Müller relative to Lucy Suchman United States Lucy Suchman's profile →
Citations per field
00.5×3.1×
Lucy Suchman · 1×
Citations per year

Countries citing papers authored by Michael Müller

Since Specialization
Citations

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

Fields of papers citing papers by Michael Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20250
3 20250
4 20250
5 202426
6 202418
7 20241
8 20249
9 202412
10 20246
11 20242
12 202318
13 20234
14 20231
15 202316
16 20234
17
How Data Scientists Improve Generated Code Documentation in Jupyter Notebooks.
20214
18 200626
19
Using the CARD and PICTIVE participatory design methods for collaborative analysis
199611
20 19910

About Michael Müller

Michael Müller is a scholar working on Human-Computer Interaction, Information Systems and Management, Communication, Computer Science Applications and Safety Research, having authored 227 papers that have together received 7.3k indexed citations. Recurring topics across this work include Usability and User Interface Design (51 papers), Innovative Human-Technology Interaction (42 papers), Personal Information Management and User Behavior (35 papers), Knowledge Management and Sharing (29 papers), Ethics and Social Impacts of AI (24 papers), Information Systems Theories and Implementation (22 papers), Persona Design and Applications (16 papers) and Open Source Software Innovations (16 papers). The work is most often cited by research in Human-Computer Interaction (2.1k citations), Computer Science Applications (830 citations), Communication (1.0k citations), Information Systems and Management (1.0k citations) and Health Informatics (130 citations). Michael Müller has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Sarah Kuhn, David R. Millen, Casey Dugan, Christian Homburg, Martin Klarmann, Philipp Geyer, Beth Brownholtz, Alan Borning, Dakuo Wang and Joan Morris DiMicco. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Communications of the ACM, interactions, IBM Systems Journal and Interacting with Computers.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026