Simone Stumpf

96 papers receiving 4.7k citations

Simone Stumpf's Hit Papers

Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions 2024 · 245 citations
2450+3+7Years since publication4008001.2k

Peers

Simone Stumpf
Comparison fields: 5 of 178
  • Health Informatics 488
  • Human-Computer Interaction 530
  • Safety Research 684
  • Computer Science Applications 431
  • Artificial Intelligence 2.3k
Replace Saleema Amershi with:
Saleema Amershi United States
Carrie J. Cai United States
Michael Terry United States
Besmira Nushi United States
Tim Miller Australia
Ece Kamar United States
Krzysztof Z. Gajos United States
Emily M. Bender United States
Hanna Wallach United States
Simone Stumpf relative to Saleema Amershi United States Saleema Amershi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Simone Stumpf

Since Specialization
Citations

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

Fields of papers citing papers by Simone Stumpf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1
XAI—Explainable artificial intelligence
Hit paper breakdown →
20191358
2
Principles of Explanatory Debugging to Personalize Interactive Machine Learning
Hit paper breakdown →
2015367
3
The Role of Explanations on Trust and Reliance in Clinical Decision Support Systems
Hit paper breakdown →
2015257
4 2013253
5
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions
Hit paper breakdown →
2024245
6 2018197
7 2016196
8 2012177
9 2009138
10 2007103
11 200293
12 201990
13 201072
14 201665
15 200964
16 202063
17 201363
18 201662
19 201160
20 201750

About Simone Stumpf

Simone Stumpf is a scholar working on Artificial Intelligence, Human-Computer Interaction, Safety Research, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 108 papers that have together received 5.0k indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (16 papers), Ethics and Social Impacts of AI (16 papers), Explainable Artificial Intelligence (XAI) (16 papers), Spreadsheets and End-User Computing (12 papers), Personal Information Management and User Behavior (11 papers), Mobile Crowdsensing and Crowdsourcing (9 papers), Data Stream Mining Techniques (8 papers) and Human-Automation Interaction and Safety (7 papers). The work is most often cited by research in Health Informatics (488 citations), Human-Computer Interaction (530 citations), Safety Research (684 citations), Computer Science Applications (431 citations) and Artificial Intelligence (2.3k citations). Simone Stumpf has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Margaret Burnett, Jaesik Choi, Mark Stefik, David Gunning, Guang‐Zhong Yang, Tim Miller, Todd Kulesza, Weng‐Keen Wong, Irwin Kwan and Adrian Bussone. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, ACM Transactions on Interactive Intelligent Systems, Interacting with Computers, IEEE Intelligent Systems and International Journal of Human-Computer Studies.

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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