Timo Speith
Impact in
- Artificial Intelligence top 1%
- Explainable Artificial Intelligence (XAI)
- Safety Research top 2%
- Ethics and Social Impacts of AI
Papers in
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- Explainable Artificial Intelligence (XAI) 22
- Multi-Agent Systems and Negotiation 1
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- Ethics and Social Impacts of AI 4
- Co-authors
- Kevin L. Baum (7 shared papers)Markus Langer (9 shared papers)Eva Schmidt (3 shared papers)Lena Kästner (3 shared papers)Holger Hermanns (2 shared papers)Andreas Sesing-Wagenpfeil (2 shared papers)Larissa Chazette (4 shared papers)Mario Brčić (1 shared paper)
In The Last Decade
Timo Speith
21 papers receiving 1.5k citations
Timo Speith's Hit Papers
Peers
Comparison fields: 5 of 106
- Artificial Intelligence 1.1k
- Safety Research 198
- Health Informatics 33
- Human-Computer Interaction 28
- Organizational Behavior and Human Resource Management 44
Countries citing papers authored by Timo Speith
This map shows the geographic impact of Timo Speith'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 Timo Speith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timo Speith more than expected).
Fields of papers citing papers by Timo Speith
This network shows the impact of papers produced by Timo Speith. 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 Timo Speith. The network helps show where Timo Speith may publish in the future.
Co-authors
The 25 scholars most cited alongside Timo Speith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research Hit paper breakdown → | 2021 | 451 |
| 2 | Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions Hit paper breakdown → | 2024 | 331 |
| 3 | A Review of Taxonomies of Explainable Artificial Intelligence (XAI) Methods Hit paper breakdown → | 2022 | 241 |
| 4 | 2019 | 97 | |
| 5 | 2021 | 87 | |
| 6 | 2022 | 74 | |
| 7 | 2021 | 55 | |
| 8 | 2021 | 38 | |
| 9 | 2022 | 26 | |
| 10 | 2022 | 23 | |
| 11 | 2023 | 23 | |
| 12 | 2021 | 19 | |
| 13 | 2023 | 13 | |
| 14 | 2024 | 13 | |
| 15 | 2024 | 12 | |
| 16 | 2022 | 10 | |
| 17 | 2019 | 8 | |
| 18 | 2023 | 8 | |
| 19 | 2021 | 4 | |
| 20 | 2024 | 4 |
About Timo Speith
Timo Speith is a scholar working on Artificial Intelligence, Safety Research, Organizational Behavior and Human Resource Management, Social Psychology and Information Systems, having authored 25 papers that have together received 1.5k indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (22 papers), Ethics and Social Impacts of AI (4 papers), Human-Automation Interaction and Safety (1 paper), Multi-Agent Systems and Negotiation (1 paper), Software Engineering Research (1 paper), AI and HR Technologies (1 paper), Employer Branding and e-HRM (1 paper) and Software Engineering Techniques and Practices (1 paper). The work is most often cited by research in Artificial Intelligence (1.1k citations), Safety Research (198 citations), Health Informatics (33 citations), Human-Computer Interaction (28 citations) and Organizational Behavior and Human Resource Management (44 citations). Timo Speith has collaborated with scholars based in Germany, Ireland and Japan. Frequent co-authors include Kevin L. Baum, Markus Langer, Eva Schmidt, Lena Kästner, Holger Hermanns, Andreas Sesing-Wagenpfeil, Larissa Chazette, Mario Brčić, Luca Longo and Federico Cabitza. Their work appears in journals such as Information Fusion, Requirements Engineering, International Journal of Selection and Assessment, Artificial Intelligence and Philosophy & 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.