Jane Im
Impact in
- Communication top 10%
- Social Media and Politics
- Human-Computer Interaction top 10%
- Innovative Human-Technology Interaction
Papers in
-
- Privacy, Security, and Data Protection 6
- Misinformation and Its Impacts 3
-
- Social Media and Politics 3
- Co-authors
- Éric Gilbert (4 shared papers)Una Lee (1 shared paper)Mark S. Ackerman (1 shared paper)Jill Dimond (1 shared paper)Eytan Adar (1 shared paper)Colleen M. Seifert (1 shared paper)Hariharan Subramonyam (1 shared paper)Eshwar Chandrasekharan (1 shared paper)
- Journals
- Proceedings of the ACM on Human-Computer Interaction (4 papers)Applied Clinical Informatics (1 paper)CHI Conference on Human Factors in Computing Systems (1 paper)Proceedings on Privacy Enhancing Technologies (2 papers)
- Partner nations
- United StatesGermany
In The Last Decade
Jane Im
13 papers receiving 227 citations
Peers
Comparison fields: 5 of 56
- Communication 60
- Human-Computer Interaction 38
- Safety Research 43
- Computer Science Applications 18
- Gender Studies 27
Countries citing papers authored by Jane Im
This map shows the geographic impact of Jane Im'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 Jane Im with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Im more than expected).
Fields of papers citing papers by Jane Im
This network shows the impact of papers produced by Jane Im. 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 Jane Im. The network helps show where Jane Im may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane Im, 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 | 2021 | 65 | |
| 2 | 2022 | 32 | |
| 3 | 2022 | 29 | |
| 4 | 2020 | 26 | |
| 5 | 2023 | 16 | |
| 6 | 2022 | 15 | |
| 7 | 2018 | 15 | |
| 8 | 2024 | 12 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 0 | |
| 15 | 2024 | 0 |
About Jane Im
Jane Im is a scholar working on Sociology and Political Science, Communication, Artificial Intelligence, Social Psychology and Clinical Psychology, having authored 15 papers that have together received 234 indexed citations. Recurring topics across this work include Privacy, Security, and Data Protection (6 papers), Hate Speech and Cyberbullying Detection (5 papers), Social Media and Politics (3 papers), Ethics and Social Impacts of AI (3 papers), Misinformation and Its Impacts (3 papers), Sexuality, Behavior, and Technology (3 papers), Gender, Feminism, and Media (2 papers) and Human-Automation Interaction and Safety (2 papers). The work is most often cited by research in Communication (60 citations), Human-Computer Interaction (38 citations), Safety Research (43 citations), Computer Science Applications (18 citations) and Gender Studies (27 citations). Jane Im has collaborated with scholars based in United States and Germany. Frequent co-authors include Éric Gilbert, Una Lee, Mark S. Ackerman, Jill Dimond, Eytan Adar, Colleen M. Seifert, Hariharan Subramonyam, Eshwar Chandrasekharan, Amy X. Zhang and Ceren Budak. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Applied Clinical Informatics, CHI Conference on Human Factors in Computing Systems and Proceedings on Privacy Enhancing Technologies.
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.