Ed S. Tan
Impact in
- Literature and Literary Theory top 0.5%
- Media Influence and Health
- Human-Computer Interaction top 2%
- Virtual Reality Applications and Impacts
Papers in
-
- Media Influence and Health 16
- Co-authors
- Valentijn VischDylan MolenaarMarieke L. FransenPeter LewinskiMiruna DoicaruMoniek M. KuijpersFrank HakemulderJeroen Jansz
- Journals
- Computers in Human Behavior (3 papers)Poetics (2 papers)Communications (2 papers)Media Psychology (2 papers)Journal of Neuroscience Psychology and Economics (1 paper)
- Partner nations
- NetherlandsDenmarkBulgaria
In The Last Decade
Ed S. Tan
36 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 103
- Literature and Literary Theory 498
- Human-Computer Interaction 193
- Experimental and Cognitive Psychology 297
- Social Psychology 299
- Gender Studies 130
Countries citing papers authored by Ed S. Tan
This map shows the geographic impact of Ed S. Tan'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 Ed S. Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ed S. Tan more than expected).
Fields of papers citing papers by Ed S. Tan
This network shows the impact of papers produced by Ed S. Tan. 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 Ed S. Tan. The network helps show where Ed S. Tan may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Ed S. Tan, 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 | 2 | |
| 2 | 2020 | 9 | |
| 3 | 2017 | 34 | |
| 4 | 2016 | 16 | |
| 5 | Viewer knowledge: Application of exposure-based layperson knowledge in genre-specific animation production | 2015 | 2 |
| 6 | 2015 | 15 | |
| 7 | 2015 | 17 | |
| 8 | 2015 | 53 | |
| 9 | 2014 | 98 | |
| 10 | 2014 | 107 | |
| 11 | 2009 | 22 | |
| 12 | 2009 | 10 | |
| 13 | 2008 | 106 | |
| 14 | Learning and entertainment in museums: towards a new equilibrium? | 2008 | 1 |
| 15 | 2007 | 8 | |
| 16 | 2002 | 15 | |
| 17 | Point of view and viewer empathy in film | 2001 | 2 |
| 18 | 2000 | 2 | |
| 19 | Movie maps | 1999 | 3 |
| 20 | 1995 | 89 |
About Ed S. Tan
Ed S. Tan is a scholar working on Literature and Literary Theory, Human-Computer Interaction, Experimental and Cognitive Psychology, Museology and Social Psychology, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Media Influence and Health (16 papers), Media, Gender, and Advertising (4 papers), Language, Metaphor, and Cognition (4 papers), Visual and Cognitive Learning Processes (3 papers), Digital Games and Media (3 papers), Video Analysis and Summarization (3 papers), Cinema and Media Studies (3 papers) and Humor Studies and Applications (3 papers). The work is most often cited by research in Literature and Literary Theory (498 citations), Human-Computer Interaction (193 citations), Experimental and Cognitive Psychology (297 citations), Social Psychology (299 citations) and Gender Studies (130 citations). Ed S. Tan has collaborated with scholars based in Netherlands, Denmark and Bulgaria. Frequent co-authors include Valentijn Visch, Dylan Molenaar, Marieke L. Fransen, Peter Lewinski, Miruna Doicaru, Moniek M. Kuijpers, Frank Hakemulder, Jeroen Jansz, Peeter W.J. Verlegh and Katalin Bálint. Their work appears in journals such as Computers in Human Behavior, Poetics, Communications, Media Psychology and Journal of Neuroscience Psychology and Economics.
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.