Scott Lederer
Impact in
- Human-Computer Interaction top 0.5%
- Innovative Human-Technology Interaction
- Interactive and Immersive Displays
- Usability and User Interface Design
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- Personal Information Management and User Behavior
Papers in
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- Privacy, Security, and Data Protection 8
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- Innovative Human-Technology Interaction 6
- Usability and User Interface Design 4
- Interactive and Immersive Displays 2
- Co-authors
- Jennifer Mankoff (8 shared papers)Anind K. Dey (3 shared papers)Anind K. Dey (6 shared papers)Jason Hong (3 shared papers)James A. Landay (3 shared papers)Morgan G. Ames (2 shared papers)Julie A. Kientz (2 shared papers)Gary Hsieh (2 shared papers)
- Journals
- Personal and Ubiquitous Computing (1 paper)UC Berkeley (3 papers)Figshare (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Scott Lederer
13 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 82
- Human-Computer Interaction 511
- Information Systems and Management 228
- Computer Science Applications 147
- Computer Vision and Pattern Recognition 284
- Transportation 89
Countries citing papers authored by Scott Lederer
This map shows the geographic impact of Scott Lederer'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 Scott Lederer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Lederer more than expected).
Fields of papers citing papers by Scott Lederer
This network shows the impact of papers produced by Scott Lederer. 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 Scott Lederer. The network helps show where Scott Lederer may publish in the future.
Co-authors
The 14 scholars most cited alongside Scott Lederer, 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 | 2003 | 452 | |
| 2 | 2003 | 241 | |
| 3 | 2004 | 234 | |
| 4 | 2004 | 193 | |
| 5 | Managing Personal Information Disclosure in Ubiquitous Computing Environments | 2003 | 47 |
| 6 | 2003 | 32 | |
| 7 | A Conceptual Model and a Metaphor of Everyday Privacy in Ubiquitous | 2002 | 19 |
| 8 | 2003 | 14 | |
| 9 | A Conceptual Model and a Metaphor of Everyday Privacy in Ubiquitous Computing Environments | 2002 | 12 |
| 10 | Towards Everyday Privacy for Ubiquitous Computing | 2003 | 12 |
| 11 | Privacy in Digital Environments: Empowering Users | 2002 | 5 |
| 12 | 2004 | 4 | |
| 13 | 2012 | 4 |
About Scott Lederer
Scott Lederer is a scholar working on Sociology and Political Science, Human-Computer Interaction, Information Systems, Information Systems and Management and Clinical Psychology, having authored 13 papers that have together received 1.3k indexed citations. Recurring topics across this work include Privacy, Security, and Data Protection (8 papers), Innovative Human-Technology Interaction (6 papers), Usability and User Interface Design (4 papers), Personal Information Management and User Behavior (3 papers), User Authentication and Security Systems (3 papers), Interactive and Immersive Displays (2 papers), Green IT and Sustainability (1 paper) and Context-Aware Activity Recognition Systems (1 paper). The work is most often cited by research in Human-Computer Interaction (511 citations), Information Systems and Management (228 citations), Computer Science Applications (147 citations), Computer Vision and Pattern Recognition (284 citations) and Transportation (89 citations). Scott Lederer has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Jennifer Mankoff, Anind K. Dey, Anind K. Dey, Jason Hong, James A. Landay, Morgan G. Ames, Julie A. Kientz, Gary Hsieh, Jeffrey Heer and Xiaodong Jiang. Their work appears in journals such as Personal and Ubiquitous Computing, UC Berkeley and Figshare.
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.