Casey Fiesler
- Sociology and Political Science top 1%
- Artificial Intelligence top 1%
- Communication top 0.5%
- Safety Research top 0.5%
- Human-Computer Interaction top 0.5%
- Co-authors
- Amy BruckmanNicholas ProferesJed R. BrubakerNathan BeardBrianna DymJialun Aaron JiangNatalie GarrettMichael Zimmer
- Topics
- Social Media and Politics (28 papers)Ethics and Social Impacts of AI (28 papers)Innovative Human-Technology Interaction (22 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONENew Media & Society
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Casey Fiesler
117 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Sociology and Political Science 1.5k
- Artificial Intelligence 882
- Communication 787
- Safety Research 615
- Human-Computer Interaction 600
Countries citing papers authored by Casey Fiesler
This map shows the geographic impact of Casey Fiesler'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 Casey Fiesler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Casey Fiesler more than expected).
Fields of papers citing papers by Casey Fiesler
This network shows the impact of papers produced by Casey Fiesler. 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 Casey Fiesler. The network helps show where Casey Fiesler may publish in the future.
Co-authorship network of co-authors of Casey Fiesler
This figure shows the co-authorship network connecting the top 25 collaborators of Casey Fiesler. A scholar is included among the top collaborators of Casey Fiesler 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 Casey Fiesler. Casey Fiesler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 24 | |
| 9 | 10 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 9 | |
| 13 | Innovating Like an Optimist, Preparing Like a Pessimist: Ethical Speculation and the Legal Imagination | 14 |
| 14 | 61 | |
| 15 | 39 | |
| 16 | 91 | |
| 17 | Everything I Needed to Know: Empirical Investigations of Copyright Norms in Fandom | 1 |
| 18 | 12 | |
| 19 | 101 | |
| 20 | Everything I Need To Know I Learned from Fandom: How Existing Social Norms Can Help Shape the Next Generation of User-Generated Content | 19 |
About Casey Fiesler
Casey Fiesler is a scholar working on Communication, Computer Science Applications and Human-Computer Interaction, having authored 121 papers that have together received 3.4k indexed citations. Recurring topics across this work include Social Media and Politics (28 papers), Ethics and Social Impacts of AI (28 papers) and Innovative Human-Technology Interaction (22 papers). The work is most often cited by research in Communication (787 citations), Human-Computer Interaction (600 citations) and Computer Science Applications (481 citations). Casey Fiesler has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Amy Bruckman, Nicholas Proferes, Jed R. Brubaker, Nathan Beard, Brianna Dym, Jialun Aaron Jiang, Natalie Garrett, Michael Zimmer, Jill Dimond and Sarah Gilbert. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and New Media & 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.