Steve Whittaker

14.4k total citations · 2 hit papers
193 papers, 9.3k citations indexed

About

Steve Whittaker is a scholar working on Information Systems and Management, Human-Computer Interaction and Artificial Intelligence. According to data from OpenAlex, Steve Whittaker has authored 193 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Information Systems and Management, 74 papers in Human-Computer Interaction and 50 papers in Artificial Intelligence. Recurrent topics in Steve Whittaker's work include Personal Information Management and User Behavior (75 papers), Usability and User Interface Design (49 papers) and Speech and dialogue systems (32 papers). Steve Whittaker is often cited by papers focused on Personal Information Management and User Behavior (75 papers), Usability and User Interface Design (49 papers) and Speech and dialogue systems (32 papers). Steve Whittaker collaborates with scholars based in United States, United Kingdom and Israel. Steve Whittaker's co-authors include Bonnie Nardi, Candace L. Sidner, Erin Bradner, Daniela Petrelli, Heinrich Schwarz, Abigail Sellen, Julia Hirschberg, Brid O’Conaill, Ellen Isaacs and Ofer Bergman and has published in prestigious journals such as Scientific Reports, Communications of the ACM and Computers in Human Behavior.

In The Last Decade

Steve Whittaker

189 papers receiving 8.3k citations

Hit Papers

Interaction and outeraction 1996 2026 2006 2016 2000 1996 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Steve Whittaker 4.0k 3.1k 1.9k 1.8k 1.6k 193 9.3k
Jonathan Grudin 3.6k 0.9× 1.4k 0.4× 1.3k 0.7× 2.1k 1.2× 989 0.6× 212 8.7k
Paul Dourish 7.6k 1.9× 1.7k 0.6× 1.3k 0.7× 3.6k 2.1× 1.3k 0.8× 127 14.5k
Mary Beth Rosson 2.5k 0.6× 1.2k 0.4× 1.2k 0.6× 2.7k 1.6× 754 0.5× 274 9.0k
Bonnie Nardi 3.0k 0.8× 1.5k 0.5× 915 0.5× 4.0k 2.3× 956 0.6× 224 10.6k
Gloria Mark 1.5k 0.4× 2.0k 0.6× 702 0.4× 2.0k 1.2× 1.3k 0.8× 179 6.7k
Michael Müller 2.1k 0.5× 1.0k 0.3× 1.2k 0.6× 1.9k 1.1× 603 0.4× 227 7.3k
Mary Czerwinski 3.8k 1.0× 2.6k 0.8× 1.3k 0.7× 1.1k 0.6× 1.3k 0.8× 242 9.8k
Victoria Bellotti 2.7k 0.7× 1.9k 0.6× 780 0.4× 993 0.6× 654 0.4× 80 5.8k
Mark S. Ackerman 1.6k 0.4× 1.2k 0.4× 2.0k 1.1× 2.1k 1.2× 555 0.3× 183 8.6k
Tom Rodden 4.3k 1.1× 810 0.3× 890 0.5× 1.9k 1.1× 715 0.4× 255 8.4k

Countries citing papers authored by Steve Whittaker

Since Specialization
Citations

This map shows the geographic impact of Steve Whittaker'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 Steve Whittaker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Whittaker more than expected).

Fields of papers citing papers by Steve Whittaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve Whittaker. 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 Steve Whittaker. The network helps show where Steve Whittaker may publish in the future.

Co-authorship network of co-authors of Steve Whittaker

This figure shows the co-authorship network connecting the top 25 collaborators of Steve Whittaker. A scholar is included among the top collaborators of Steve Whittaker 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 Steve Whittaker. Steve Whittaker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tree, Jean E. Fox, et al.. (2023). Conversational Fluency and Attitudes Towards Robot Pilots in Telepresence Robot-Mediated Interactions. Computer Supported Cooperative Work (CSCW). 33(3). 473–498. 2 indexed citations
2.
Carter, Scott L., et al.. (2023). Patterns of emotion-network dynamics are orthogonal to mood disorder status: An experience sampling investigation.. Emotion. 24(1). 116–129. 4 indexed citations
3.
Rohani, Darius A., Aaron Springer, Victoria Hollis, Jakob E. Bardram, & Steve Whittaker. (2020). Recommending Activities for Mental Health and Well-Being: Insights From Two User Studies. IEEE Transactions on Emerging Topics in Computing. 9(3). 1183–1193. 15 indexed citations
4.
Springer, Aaron & Steve Whittaker. (2019). Making Transparency Clear: The Dual Importance of Explainability and Auditability.. 4 indexed citations
5.
Springer, Aaron, Victoria Hollis, & Steve Whittaker. (2018). Mood modeling: accuracy depends on active logging and reflection. Personal and Ubiquitous Computing. 22(4). 723–737. 16 indexed citations
6.
Konrad, Artie, Ellen Isaacs, & Steve Whittaker. (2016). Technology-Mediated Memory. ACM Transactions on Computer-Human Interaction. 23(4). 1–29. 32 indexed citations
7.
Konrad, Artie, Simon Tucker, John K. Crane, & Steve Whittaker. (2016). Technology and Reflection: Mood and Memory Mechanisms for Well-Being. PubMed. 6(1). 5–5. 21 indexed citations
8.
Munteanu, Cosmin, Matt Jones, Sharon Oviatt, et al.. (2013). We need to talk. NPARC. 2459–2464. 16 indexed citations
9.
Astoul, Philippe, Gary Lee, Nick Maskell, et al.. (2013). A novel pleural-bladder pump for management of pleural effusion. European Respiratory Journal. 42(Suppl 57). P3081–P3081. 2 indexed citations
10.
Hoven, Elise van den, Corina Sas, & Steve Whittaker. (2012). Introduction to this special issue on designing for personal memories: past, present and future. Human-Computer Interaction. 27. 1–12. 115 indexed citations
11.
Whittaker, Steve, Vaiva Kalnikaitė, Daniela Petrelli, et al.. (2012). Socio-technical lifelogging: deriving design principles for a future proof digital past. SHURA (Sheffield Hallam University Research Archive) (Sheffield Hallam University). 36 indexed citations
12.
Fent, Kenneth W., et al.. (2009). Quantitative Plasma Biomarker Analysis in HDI Exposure Assessment. The Annals of Occupational Hygiene. 54(1). 41–54. 19 indexed citations
13.
Whittaker, Steve & Vaiva Kalnikaitė. (2008). Temporal Tagging: Implicit Behavior Identifies Points of Interest in Complex Event Recordings.. National Conference on Artificial Intelligence. 110–115. 2 indexed citations
14.
Whittaker, Steve, et al.. (2005). Analysing Meeting Records: An Ethnographic Study and Technological Implications. 3 indexed citations
15.
Whittaker, Steve, Marilyn Walker, & Johanna D. Moore. (2002). Fish or fowl: a Wizard of Oz evaluation of dialogue strategies in the restaurant domain. Language Resources and Evaluation. 22 indexed citations
16.
Walker, Marilyn, Steve Whittaker, Amanda Stent, et al.. (2002). Speech-Plans: Generating Evaluative Responses in Spoken Dialogue. Edinburgh Research Explorer (University of Edinburgh). 73–80. 20 indexed citations
17.
Nardi, Bonnie, Steve Whittaker, & Heinrich Schwarz. (2000). It's Not What You Know, It's Who You Know: Work in the Information Age.. First Monday. 5. 108 indexed citations
18.
Hindle, Donald, Julia Hirschberg, Ivan Magrin‐Chagnolleau, et al.. (1998). SCAN - Speech Content Based Audio Navigator: A Systems Overview. Rice Digital Scholarship Archive (Rice University). 10 indexed citations
19.
Lovie‐Kitchin, Jan E. & Steve Whittaker. (1995). READING RATE CAN BE PREDICTED FROM LOW VISION ASSESSMENT. Optometry and Vision Science. 72(SUPPLEMENT). 20–20. 1 indexed citations
20.
Whittaker, Steve, et al.. (1990). Implementing Problem-Based Learning in the Didactic Curriculum.. 15(4). 1 indexed citations

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.

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