Heimo Müller

94 papers receiving 3.6k citations

Heimo Müller's Hit Papers

Post-hoc vs ante-hoc explanations: xAI design guidelines for data scientists 2024 · 84 citations
840+2+4Years since publication250500750

Peers

Heimo Müller
Comparison fields: 5 of 203
  • Health Informatics 619
  • Computer Graphics and Computer-Aided Design 127
  • Artificial Intelligence 1.2k
  • Health Information Management 98
  • Safety Research 174
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Dan Su China
May D. Wang United States
Faisal Mahmood United States
Justin Ko United States
Yun Liu United States
Chandan Singh India
Mong Li Lee Singapore
Lucas Baker United States
Michael R. Berthold Germany
Heimo Müller relative to Dan Su China Dan Su's profile →
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Countries citing papers authored by Heimo Müller

Since Specialization
Citations

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

Fields of papers citing papers by Heimo Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Causability and explainability of artificial intelligence in medicine
Hit paper breakdown →
2019979
2
Recent developments in the Inorganic Crystal Structure Database: theoretical crystal structure data and related features
Hit paper breakdown →
2019446
3
AI for life: Trends in artificial intelligence for biotechnology
Hit paper breakdown →
2023238
4 2020226
5 2010205
6 1995165
7 202286
8
Post-hoc vs ante-hoc explanations: xAI design guidelines for data scientists
Hit paper breakdown →
202484
9 202179
10 202169
11 201664
12 200263
13 202256
14 202256
15 201954
16 202353
17 199752
18 202451
19 200546
20 202336

About Heimo Müller

Heimo Müller is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Health Informatics and Computational Mechanics, having authored 98 papers that have together received 3.7k indexed citations. Recurring topics across this work include AI in cancer detection (13 papers), Artificial Intelligence in Healthcare and Education (13 papers), Biomedical Text Mining and Ontologies (11 papers), Explainable Artificial Intelligence (XAI) (11 papers), Data Visualization and Analytics (10 papers), Scientific Computing and Data Management (9 papers), Ethics in Clinical Research (7 papers) and Advanced Numerical Analysis Techniques (7 papers). The work is most often cited by research in Health Informatics (619 citations), Computer Graphics and Computer-Aided Design (127 citations), Artificial Intelligence (1.2k citations), Health Information Management (98 citations) and Safety Research (174 citations). Heimo Müller has collaborated with scholars based in Austria, Germany and Netherlands. Frequent co-authors include Andreas Holzinger, Kurt Zatloukal, Helmut Denk, Georg Langs, Dejan Zagorac, Jelena Zagorac, André Carrington, Petr Holub, Markus Plass and Katharina Keiblinger. Their work appears in journals such as Biopreservation and Biobanking, New Biotechnology, Laboratory Investigation, IEEE Computer Graphics and Applications and Computer.

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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