Dane Acena
Impact in
- Human-Computer Interaction top 2%
- Virtual Reality Applications and Impacts
- Innovative Human-Technology Interaction
- Literature and Literary Theory top 10%
- Media Influence and Health
Papers in
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- Digital Games and Media 7
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- Sexuality, Behavior, and Technology 5
- Co-authors
- Guo Freeman (7 shared papers)Divine Maloney (2 shared papers)Samaneh Zamanifard (1 shared paper)Guo Freeman (1 shared paper)Nathan J. McNeese (1 shared paper)Lingyuan Li (1 shared paper)Otis L. Owens (1 shared paper)Jenay M. Beer (1 shared paper)
- Journals
- Proceedings of the ACM on Human-Computer Interaction (3 papers)American Journal of Health Promotion (1 paper)SAE International Journal of Advances and Current Practices in Mobility (1 paper)CHI Conference on Human Factors in Computing Systems (1 paper)
- Partner nations
- United States
In The Last Decade
Dane Acena
9 papers receiving 326 citations
Dane Acena's Hit Papers
Peers
Comparison fields: 5 of 58
- Human-Computer Interaction 198
- Literature and Literary Theory 42
- Social Psychology 78
- Applied Psychology 19
- Clinical Psychology 70
Countries citing papers authored by Dane Acena
This map shows the geographic impact of Dane Acena'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 Dane Acena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dane Acena more than expected).
Fields of papers citing papers by Dane Acena
This network shows the impact of papers produced by Dane Acena. 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 Dane Acena. The network helps show where Dane Acena may publish in the future.
Co-authors
The 16 scholars most cited alongside Dane Acena, 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 | Disturbing the Peace: Experiencing and Mitigating Emerging Harassment in Social Virtual Reality Hit paper breakdown → | 2022 | 89 |
| 2 | 2021 | 55 | |
| 3 | 2022 | 54 | |
| 4 | 2022 | 39 | |
| 5 | 2022 | 36 | |
| 6 | 2021 | 27 | |
| 7 | 2023 | 22 | |
| 8 | 2020 | 15 | |
| 9 | 2022 | 3 |
About Dane Acena
Dane Acena is a scholar working on Sociology and Political Science, Clinical Psychology, Human-Computer Interaction, Social Psychology and Information Systems, having authored 9 papers that have together received 340 indexed citations. Recurring topics across this work include Digital Games and Media (7 papers), Sexuality, Behavior, and Technology (5 papers), Virtual Reality Applications and Impacts (3 papers), Innovative Human-Technology Interaction (2 papers), Gender, Feminism, and Media (1 paper), Software Engineering Techniques and Practices (1 paper), Software Engineering Research (1 paper) and Digital Mental Health Interventions (1 paper). The work is most often cited by research in Human-Computer Interaction (198 citations), Literature and Literary Theory (42 citations), Social Psychology (78 citations), Applied Psychology (19 citations) and Clinical Psychology (70 citations). Dane Acena has collaborated with scholars based in United States. Frequent co-authors include Guo Freeman, Divine Maloney, Samaneh Zamanifard, Guo Freeman, Nathan J. McNeese, Lingyuan Li, Otis L. Owens, Jenay M. Beer, Karen Kane McDonnell and Taylor Kennedy. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, American Journal of Health Promotion, SAE International Journal of Advances and Current Practices in Mobility and CHI Conference on Human Factors in Computing Systems.
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.