Shannon Vallor
- Safety Research top 1%
- Cognitive Neuroscience top 5%
- Sociology and Political Science top 5%
- Social Psychology top 10%
- Artificial Intelligence top 10%
- Co-authors
- Gillian K. HadfieldArvind NarayananVincent ConitzerTillmann VierkantGeorge A. BekeyAdam MooreScott M. FreundschuhWilliam L. Gannon
- Topics
- Ethics and Social Impacts of AI (14 papers)Neuroethics, Human Enhancement, Biomedical Innovations (6 papers)Misinformation and Its Impacts (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaCommunications of the ACMEthics and Information Technology
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Shannon Vallor
30 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Safety Research 431
- Cognitive Neuroscience 344
- Sociology and Political Science 264
- Social Psychology 175
- Artificial Intelligence 166
Countries citing papers authored by Shannon Vallor
This map shows the geographic impact of Shannon Vallor'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 Shannon Vallor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shannon Vallor more than expected).
Fields of papers citing papers by Shannon Vallor
This network shows the impact of papers produced by Shannon Vallor. 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 Shannon Vallor. The network helps show where Shannon Vallor may publish in the future.
Co-authorship network of co-authors of Shannon Vallor
This figure shows the co-authorship network connecting the top 25 collaborators of Shannon Vallor. A scholar is included among the top collaborators of Shannon Vallor based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shannon Vallor. Shannon Vallor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 12 | |
| 3 | 44 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 9 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | Technology and the Virtuesbreakdown → | 318 |
| 10 | 107 | |
| 11 | 6 | |
| 12 | 17 | |
| 13 | Super Soldiers: The Ethical, Legal and Operational Implications (Part 2) | 2 |
| 14 | The future of military virtue: Autonomous systems and the moral deskilling of the military | 17 |
| 15 | An Introduction to Software Engineering Ethics | 7 |
| 16 | 3 | |
| 17 | 35 | |
| 18 | 4 | |
| 19 | An Enactive-Phenomenological Approach to Veridical Perception | 4 |
| 20 | 1 |
About Shannon Vallor
Shannon Vallor is a scholar working on Safety Research, Health Informatics and Cognitive Neuroscience, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (14 papers), Neuroethics, Human Enhancement, Biomedical Innovations (6 papers) and Misinformation and Its Impacts (3 papers). The work is most often cited by research in Safety Research (431 citations), Health Informatics (59 citations) and Cognitive Neuroscience (344 citations). Shannon Vallor has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Gillian K. Hadfield, Arvind Narayanan, Vincent Conitzer, Tillmann Vierkant, George A. Bekey, Adam Moore, Scott M. Freundschuh, William L. Gannon, Meredith Ringel Morris and Arianna Manzini. Their work appears in journals such as SHILAP Revista de lepidopterología, Communications of the ACM and Ethics and Information 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.