Scott Lederer

1.6k total citations
13 papers, 1.0k citations indexed

About

Scott Lederer is a scholar working on Sociology and Political Science, Human-Computer Interaction and Information Systems. According to data from OpenAlex, Scott Lederer has authored 13 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Sociology and Political Science, 8 papers in Human-Computer Interaction and 3 papers in Information Systems. Recurrent topics in Scott Lederer's work include Privacy, Security, and Data Protection (8 papers), Innovative Human-Technology Interaction (6 papers) and Usability and User Interface Design (4 papers). Scott Lederer is often cited by papers focused on Privacy, Security, and Data Protection (8 papers), Innovative Human-Technology Interaction (6 papers) and Usability and User Interface Design (4 papers). Scott Lederer collaborates with scholars based in United States and United Kingdom. Scott Lederer's co-authors include Jennifer Mankoff, Anind K. Dey, Jason Hong, James A. Landay, Anind K. Dey, Morgan G. Ames, Gary Hsieh, Julie A. Kientz, Jeffrey Heer and Xiaodong Jiang and has published in prestigious journals such as Personal and Ubiquitous Computing, Figshare and UC Berkeley.

In The Last Decade

Scott Lederer

13 papers receiving 929 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Scott Lederer United States	10	500	399	241	233	221	13	1.0k
Les Nelson United States	20	507 1.0×	468 1.2×	294 1.2×	403 1.7×	188 0.9×	41	1.5k
Mauro Cherubini Switzerland	17	254 0.5×	279 0.7×	182 0.8×	224 1.0×	142 0.6×	54	959
Marek Bell United Kingdom	11	378 0.8×	519 1.3×	106 0.4×	94 0.4×	211 1.0×	19	1.0k
Scott Sherwood United Kingdom	13	370 0.7×	616 1.5×	87 0.4×	108 0.5×	264 1.2×	22	1.2k
Nitin Sawhney United States	14	267 0.5×	405 1.0×	147 0.6×	142 0.6×	465 2.1×	39	1.1k
Giovanni Iachello United States	8	345 0.7×	187 0.5×	133 0.6×	143 0.6×	95 0.4×	16	587
Ian E. Smith United States	5	286 0.6×	188 0.5×	108 0.4×	86 0.4×	103 0.5×	7	603
J. J. Cadiz United States	15	190 0.4×	376 0.9×	174 0.7×	284 1.2×	304 1.4×	16	1.1k
Kirstie Hawkey Canada	22	361 0.7×	360 0.9×	172 0.7×	798 3.4×	127 0.6×	76	1.4k
Robert Hendley United Kingdom	14	138 0.3×	237 0.6×	137 0.6×	181 0.8×	179 0.8×	53	903

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 of co-authors of Scott Lederer

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Riegelsberger, Jens, Michelle Lee, & Scott Lederer. (2012). A room with a view. 713–716. 4 indexed citations

2.

Hong, Jason, et al.. (2004). Privacy risk models for designing privacy-sensitive ubiquitous computing systems. Figshare. 91–100. 173 indexed citations

3.

Lederer, Scott & Jeffrey Heer. (2004). All together now. 1107–1110. 4 indexed citations

4.

Lederer, Scott, Jason Hong, Anind K. Dey, & James A. Landay. (2004). Personal privacy through understanding and action: five pitfalls for designers. Personal and Ubiquitous Computing. 8(6). 440–454. 193 indexed citations

5.

Lederer, Scott, Jennifer Mankoff, & Anind K. Dey. (2003). Who wants to know what when? privacy preference determinants in ubiquitous computing. 13 indexed citations

6.

Lederer, Scott, et al.. (2003). Managing Personal Information Disclosure in Ubiquitous Computing Environments. UC Berkeley. 37 indexed citations

7.

Lederer, Scott, Jason Hong, Xiaodong Jiang, et al.. (2003). Towards Everyday Privacy for Ubiquitous Computing. UC Berkeley. 9 indexed citations

8.

Lederer, Scott, Jennifer Mankoff, & Anind K. Dey. (2003). Who wants to know what when? privacy preference determinants in ubiquitous computing. 724–724. 192 indexed citations

9.

Mankoff, Jennifer, Anind K. Dey, Gary Hsieh, et al.. (2003). Heuristic evaluation of ambient displays. 169–176. 357 indexed citations

10.

Mankoff, Jennifer, Anind K. Dey, Gary Hsieh, et al.. (2003). Heuristic evaluation of ambient displays. 20 indexed citations

11.

Lederer, Scott, et al.. (2002). A Conceptual Model and a Metaphor of Everyday Privacy in Ubiquitous Computing Environments. UC Berkeley. 11 indexed citations

12.

Lederer, Scott, Anind K. Dey, & Jennifer Mankoff. (2002). A Conceptual Model and a Metaphor of Everyday Privacy in Ubiquitous. 17 indexed citations

13.

boyd, danah, et al.. (2002). Privacy in Digital Environments: Empowering Users. 5 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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