Daniel C. McFarlane
- Human-Computer Interaction top 0.5%
- Usability and User Interface Design 5
- Information Systems and Management top 0.5%
- Personal Information Management and User Behavior 6
- Social Psychology top 5%
- Human-Automation Interaction and Safety 7
- Cognitive Neuroscience top 5%
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- Healthcare Technology and Patient Monitoring 4
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- Machine Learning in Healthcare 2
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- Cardiovascular Function and Risk Factors 2
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- SARS-CoV-2 and COVID-19 Research 1
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- Influenza Virus Research Studies 1
- Co-authors
- Kara A. LatorellaLinda E. SibertMatthew MullenRobert J. K. JacobJohn L. SibertRanjeev MittuAlexa K. DoigJames Agutter
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Daniel C. McFarlane
18 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 100
- Human-Computer Interaction 530
- Information Systems and Management 624
- Social Psychology 324
- Cognitive Neuroscience 275
- Computer Vision and Pattern Recognition 241
Countries citing papers authored by Daniel C. McFarlane
This map shows the geographic impact of Daniel C. McFarlane'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 Daniel C. McFarlane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C. McFarlane more than expected).
Fields of papers citing papers by Daniel C. McFarlane
This network shows the impact of papers produced by Daniel C. McFarlane. 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 Daniel C. McFarlane. The network helps show where Daniel C. McFarlane may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel C. McFarlane, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 11 | |
| 6 | 2022 | 33 | |
| 7 | 2018 | 24 | |
| 8 | 2017 | 2 | |
| 9 | 2016 | 10 | |
| 10 | 2010 | 8 | |
| 11 | 2009 | 24 | |
| 12 | ENCODING URGENCY IN LEGACY AUDIO ALERTING SYSTEMS | 2005 | 5 |
| 13 | 2002 | 349 | |
| 14 | 2002 | 268 | |
| 15 | Enhancing Crew Coordination with Intent Inference | 2001 | 0 |
| 16 | Coordinating the Interruption of People in Human-Computer Interaction. | 1999 | 114 |
| 17 | Interruption of people in human-computer interaction | 1998 | 35 |
| 18 | 1996 | 10 | |
| 19 | 1994 | 217 | |
| 20 | 1978 | 5 |
About Daniel C. McFarlane
Daniel C. McFarlane is a scholar working on Human-Computer Interaction, Information Systems and Management, Medical Laboratory Technology, Health Information Management and Social Psychology, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (7 papers), Personal Information Management and User Behavior (6 papers), Usability and User Interface Design (5 papers), Healthcare Technology and Patient Monitoring (4 papers), Machine Learning in Healthcare (2 papers), Cardiovascular Function and Risk Factors (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and Influenza Virus Research Studies (1 paper). The work is most often cited by research in Human-Computer Interaction (530 citations), Information Systems and Management (624 citations), Social Psychology (324 citations), Cognitive Neuroscience (275 citations) and Computer Vision and Pattern Recognition (241 citations). Daniel C. McFarlane has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Kara A. Latorella, Linda E. Sibert, Matthew Mullen, Robert J. K. Jacob, John L. Sibert, Ranjeev Mittu, Alexa K. Doig, James Agutter, Lara Brewer and James A. Ballas. Their work appears in journals such as Scientific Reports, Human-Computer Interaction, Vaccine, Circulation and Canadian Journal of Cardiology.
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.