Daniel B. Shank
Impact in
- Safety Research top 1%
- Ethics and Social Impacts of AI
- Health Informatics top 5%
Papers in
-
- Ethics and Social Impacts of AI 11
- Co-authors
- Patrick GamezShelia R. CottenChristopher GravesSophia RodriguezR. W. McClendonGerrit HoogenboomYoshihisa KashimaCasey Canfield
- Journals
- Computers in Human Behavior (4 papers)International Journal of Human-Computer Interaction (3 papers)PLoS ONE (2 papers)Climatic Change (2 papers)AI & Society (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Daniel B. Shank
48 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 118
- Safety Research 301
- Health Informatics 33
- Information Systems and Management 97
- Cognitive Neuroscience 248
- Social Psychology 212
Countries citing papers authored by Daniel B. Shank
This map shows the geographic impact of Daniel B. Shank'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 Daniel B. Shank with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel B. Shank more than expected).
Fields of papers citing papers by Daniel B. Shank
This network shows the impact of papers produced by Daniel B. Shank. 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 Daniel B. Shank. The network helps show where Daniel B. Shank may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel B. Shank, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 22 | |
| 3 | 2022 | 6 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 7 | |
| 6 | 2021 | 5 | |
| 7 | 2021 | 8 | |
| 8 | 2021 | 13 | |
| 9 | 2020 | 1 | |
| 10 | 2020 | 21 | |
| 11 | 2019 | 15 | |
| 12 | 2019 | 1 | |
| 13 | 2018 | 26 | |
| 14 | 2017 | 12 | |
| 15 | 2016 | 8 | |
| 16 | 2015 | 15 | |
| 17 | 2014 | 36 | |
| 18 | An Affect Control Theory of Technology. | 2010 | 12 |
| 19 | 2008 | 24 | |
| 20 | 2008 | 62 |
About Daniel B. Shank
Daniel B. Shank is a scholar working on Safety Research, Health Informatics, Social Psychology, Human-Computer Interaction and Cognitive Neuroscience, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Psychology of Moral and Emotional Judgment (13 papers), Ethics and Social Impacts of AI (11 papers), Social and Intergroup Psychology (8 papers), Opinion Dynamics and Social Influence (6 papers), Death Anxiety and Social Exclusion (5 papers), Impact of Technology on Adolescents (5 papers), Explainable Artificial Intelligence (XAI) (5 papers) and Cultural Differences and Values (5 papers). The work is most often cited by research in Safety Research (301 citations), Health Informatics (33 citations), Information Systems and Management (97 citations), Cognitive Neuroscience (248 citations) and Social Psychology (212 citations). Daniel B. Shank has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Patrick Gamez, Shelia R. Cotten, Christopher Graves, Sophia Rodriguez, R. W. McClendon, Gerrit Hoogenboom, Yoshihisa Kashima, Casey Canfield, William A. Anderson and Joel O. Paz. Their work appears in journals such as Computers in Human Behavior, International Journal of Human-Computer Interaction, PLoS ONE, Climatic Change and AI & Society.
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.