Lynn Cherny
Impact in
- Communication top 5%
- Knowledge Management and Sharing
- Social Media and Politics
- Human-Computer Interaction top 10%
- Usability and User Interface Design
Papers in
-
- Speech and dialogue systems 2
- Logic, programming, and type systems 1
- Natural Language Processing Techniques 1
- Artificial Intelligence in Games 1
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- Digital Games and Media 2
- Co-authors
- Steve Whittaker (2 shared papers)Loren Terveen (2 shared papers)Will Hill (1 shared paper)Jean Mark Gawron (2 shared papers)John Bear (2 shared papers)Robert T. Moore (2 shared papers)John Dowding (2 shared papers)Douglas B. Moran (1 shared paper)
- Journals
- HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)ACM SIGCHI Bulletin (1 paper)Brandeis Institutional Repository (1 paper)UMI eBooks (1 paper)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Lynn Cherny
11 papers receiving 319 citations
Peers
Comparison fields: 5 of 51
- Communication 123
- Human-Computer Interaction 49
- Computer Science Applications 43
- Information Systems and Management 37
- Artificial Intelligence 167
Countries citing papers authored by Lynn Cherny
This map shows the geographic impact of Lynn Cherny'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 Lynn Cherny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lynn Cherny more than expected).
Fields of papers citing papers by Lynn Cherny
This network shows the impact of papers produced by Lynn Cherny. 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 Lynn Cherny. The network helps show where Lynn Cherny may publish in the future.
Co-authors
The 13 scholars most cited alongside Lynn Cherny, 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 | 1998 | 192 | |
| 2 | 1993 | 86 | |
| 3 | 1993 | 55 | |
| 4 | The mud register : conversational modes of action in a text-based virtual reality | 1996 | 28 |
| 5 | Estimating the Jewish Population of the United States: 2000-2010 | 2012 | 9 |
| 6 | 1997 | 6 | |
| 7 | 2003 | 5 | |
| 8 | Wired Women : Gender and New Realities in Cyberspace | 1996 | 3 |
| 9 | 1997 | 1 | |
| 10 | 1998 | 1 | |
| 11 | The Situated Behavior of MUD Back Channels | 1995 | 1 |
About Lynn Cherny
Lynn Cherny is a scholar working on Artificial Intelligence, Sociology and Political Science, Human-Computer Interaction, Communication and Astronomy and Astrophysics, having authored 11 papers that have together received 387 indexed citations. Recurring topics across this work include Digital Games and Media (2 papers), Speech and dialogue systems (2 papers), Complex Network Analysis Techniques (1 paper), Social Media and Politics (1 paper), Logic, programming, and type systems (1 paper), Natural Language Processing Techniques (1 paper), Artificial Intelligence in Games (1 paper) and Personal Information Management and User Behavior (1 paper). The work is most often cited by research in Communication (123 citations), Human-Computer Interaction (49 citations), Computer Science Applications (43 citations), Information Systems and Management (37 citations) and Artificial Intelligence (167 citations). Lynn Cherny has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Steve Whittaker, Loren Terveen, Will Hill, Jean Mark Gawron, John Bear, Robert T. Moore, John Dowding, Douglas B. Moran, Charles Kadushin and Leonard Saxe. Their work appears in journals such as HAL (Le Centre pour la Communication Scientifique Directe), ACM SIGCHI Bulletin, Brandeis Institutional Repository and UMI eBooks.
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.