Peter Story

541 total citations
10 papers, 338 citations indexed

About

Peter Story is a scholar working on Sociology and Political Science, Artificial Intelligence and Information Systems. According to data from OpenAlex, Peter Story has authored 10 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Sociology and Political Science, 5 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in Peter Story's work include Privacy, Security, and Data Protection (9 papers), Privacy-Preserving Technologies in Data (3 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). Peter Story is often cited by papers focused on Privacy, Security, and Data Protection (9 papers), Privacy-Preserving Technologies in Data (3 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). Peter Story collaborates with scholars based in United States. Peter Story's co-authors include Norman Sadeh, Daniel Smullen, Sebastian Zimmeck, Joël R. Reidenberg, Florian Schaub, N. Cameron Russell, Shomir Wilson, Ziqi Wang, Abhilasha Ravichander and Lorrie Faith Cranor and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Clinical Pathology and Semantic Web.

In The Last Decade

Peter Story

9 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter Story United States	9	234	159	135	55	41	10	338
Daniel Smullen United States	9	249 1.1×	145 0.9×	140 1.0×	52 0.9×	43 1.0×	11	317
Rohan Ramanath United States	7	167 0.7×	144 0.9×	100 0.7×	24 0.4×	25 0.6×	10	245
Mads Schaarup Andersen Denmark	4	176 0.8×	110 0.7×	98 0.7×	42 0.8×	17 0.4×	8	263
Ashkan Soltani United States	6	175 0.7×	119 0.7×	144 1.1×	57 1.0×	31 0.8×	10	272
Nathan Good United States	7	169 0.7×	93 0.6×	117 0.9×	68 1.2×	21 0.5×	11	256
Irwin Reyes United States	8	193 0.8×	74 0.5×	103 0.8×	115 2.1×	31 0.8×	13	284
Hamza Harkous Switzerland	7	142 0.6×	107 0.7×	92 0.7×	21 0.4×	18 0.4×	14	246
Oana Goga France	6	150 0.6×	92 0.6×	67 0.5×	15 0.3×	19 0.5×	13	240
Ryan Shaw United States	10	77 0.3×	93 0.6×	48 0.4×	19 0.3×	3 0.1×	35	263
Peter Snyder United States	9	78 0.3×	119 0.7×	138 1.0×	74 1.3×	14 0.3×	20	213

Countries citing papers authored by Peter Story

Since Specialization

Citations

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

Fields of papers citing papers by Peter Story

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Story

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Story. A scholar is included among the top collaborators of Peter Story 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 Peter Story. Peter Story 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:

10 of 10 papers shown

1.

Aviv, Adam J., et al.. (2024). Measuring the Prevalence of Password Manager Issues Using In-Situ Experiments.

2.

Story, Peter, Daniel Smullen, Yaxing Yao, et al.. (2022). Increasing Adoption of Tor Browser Using Informational and Planning Nudges. Proceedings on Privacy Enhancing Technologies. 2022(2). 152–183. 11 indexed citations

3.

Story, Peter, Daniel Smullen, Alessandro Acquisti, et al.. (2021). From Intent to Action: Nudging Users Towards Secure Mobile Payments. Figshare. 379–415. 11 indexed citations

4.

Story, Peter, Daniel Smullen, Yaxing Yao, et al.. (2021). Awareness, Adoption, and Misconceptions of Web Privacy Tools. SHILAP Revista de lepidopterología. 2021(3). 308–333. 25 indexed citations

5.

Iyengar, Roger, Yuanyuan Feng, Hana Habib, et al.. (2020). Finding a Choice in a Haystack: Automatic Extraction of Opt-Out Statements from Privacy Policy Text. Clark Digital Commons (Clark University). 1943–1954. 43 indexed citations

6.

Zimmeck, Sebastian, Peter Story, Daniel Smullen, et al.. (2019). MAPS: Scaling Privacy Compliance Analysis to a Million Apps. SHILAP Revista de lepidopterología. 2019(3). 66–86. 105 indexed citations

7.

Liu, Frederick, Shomir Wilson, Peter Story, Sebastian Zimmeck, & Norman Sadeh. (2018). Towards Automatic Classification of Privacy Policy Text. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 22 indexed citations

8.

Wilson, Shomir, Florian Schaub, Frederick Liu, et al.. (2018). Analyzing Privacy Policies at Scale. ACM Transactions on the Web. 13(1). 1–29. 31 indexed citations

9.

Oltramari, Alessandro, Florian Schaub, Shomir Wilson, et al.. (2017). PrivOnto: A semantic framework for the analysis of privacy policies. Semantic Web. 9(2). 185–203. 53 indexed citations

10.

Story, Peter. (1985). Human Blood Coagulation, Haemostasis and Thrombosis. Journal of Clinical Pathology. 38(4). 480.1–480. 37 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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