Scott Lederer

1.6k citations
13 papers · 1.0k indexed · h-index 10

Scott Lederer

13 papers receiving 929 citations

Peers

Scott Lederer
Comparison fields: 5 of 71
  • Human-Computer Interaction 399
  • Information Systems and Management 183
  • Computer Science Applications 125
  • Sociology and Political Science 500
  • Transportation 73
Replace Les Nelson with:
Les Nelson United States
Marek Bell United Kingdom
Mauro Cherubini Switzerland
Scott Sherwood United Kingdom
Giovanni Iachello United States
Timothy Sohn United States
Ian E. Smith United States
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Scott Lederer relative to Les Nelson United States Les Nelson's profile →
Citations per field
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Les Nelson · 1×
Citations per year

Countries citing papers authored by Scott Lederer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Scott Lederer Line = papers co-authored together Scott Lederer links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 20124
2 2004173
3 20044
4 2004193
5 200313
6
Managing Personal Information Disclosure in Ubiquitous Computing Environments
200337
7
Towards Everyday Privacy for Ubiquitous Computing
20039
8 2003357
9 2003192
10 200320
11
A Conceptual Model and a Metaphor of Everyday Privacy in Ubiquitous Computing Environments
200211
12
A Conceptual Model and a Metaphor of Everyday Privacy in Ubiquitous
200217
13
Privacy in Digital Environments: Empowering Users
20025

About Scott Lederer

Scott Lederer is a scholar working on Human-Computer Interaction, Information Systems and Management, Sociology and Political Science, Geography, Planning and Development and Information Systems, having authored 13 papers that have together received 1.0k 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), Sexuality, Behavior, and Technology (1 paper) and Speech and dialogue systems (1 paper). The work is most often cited by research in Human-Computer Interaction (399 citations), Information Systems and Management (183 citations), Computer Science Applications (125 citations), Sociology and Political Science (500 citations) and Transportation (73 citations). Scott Lederer has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Jennifer Mankoff, Anind K. Dey, Jason Hong, James A. Landay, Anind K. Dey, Gary Hsieh, Julie A. Kientz, Morgan G. Ames, 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.

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