Daniel Smullen

482 total citations
11 papers, 317 citations indexed

About

Daniel Smullen is a scholar working on Sociology and Political Science, Artificial Intelligence and Information Systems. According to data from OpenAlex, Daniel Smullen has authored 11 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Sociology and Political Science, 7 papers in Artificial Intelligence and 5 papers in Information Systems. Recurrent topics in Daniel Smullen's work include Privacy, Security, and Data Protection (10 papers), Privacy-Preserving Technologies in Data (4 papers) and Digital and Cyber Forensics (2 papers). Daniel Smullen is often cited by papers focused on Privacy, Security, and Data Protection (10 papers), Privacy-Preserving Technologies in Data (4 papers) and Digital and Cyber Forensics (2 papers). Daniel Smullen collaborates with scholars based in United States. Daniel Smullen's co-authors include Norman Sadeh, Peter Story, Martin Degeling, Anupam Das, Sebastian Zimmeck, Abhilasha Ravichander, N. Cameron Russell, Ziqi Wang, Joël R. Reidenberg and Florian Schaub and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Pervasive Computing and ACM Transactions on the Web.

In The Last Decade

Daniel Smullen

11 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Smullen United States	9	249	145	140	52	43	11	317
Maritza Johnson United States	8	386 1.6×	211 1.5×	109 0.8×	44 0.8×	44 1.0×	15	459
Hazim Almuhimedi United States	6	298 1.2×	129 0.9×	222 1.6×	129 2.5×	49 1.1×	8	452
Mads Schaarup Andersen Denmark	4	176 0.7×	110 0.8×	98 0.7×	42 0.8×	17 0.4×	8	263
Mohammad Tahaei United Kingdom	10	181 0.7×	72 0.5×	162 1.2×	56 1.1×	32 0.7×	18	326
Irwin Reyes United States	8	193 0.8×	74 0.5×	103 0.7×	115 2.2×	31 0.7×	13	284
Kanthashree Mysore Sathyendra United States	7	216 0.9×	277 1.9×	106 0.8×	63 1.2×	21 0.5×	15	429
Jaspreet Bhatia United States	11	259 1.0×	181 1.2×	242 1.7×	116 2.2×	18 0.4×	21	437
Nathan Good United States	7	169 0.7×	93 0.6×	117 0.8×	68 1.3×	21 0.5×	11	256
Sai Teja Peddinti United States	10	133 0.5×	113 0.8×	96 0.7×	56 1.1×	13 0.3×	19	263
Rohan Ramanath United States	7	167 0.7×	144 1.0×	100 0.7×	24 0.5×	25 0.6×	10	245

Countries citing papers authored by Daniel Smullen

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Smullen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Smullen

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

All Works

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11 of 11 papers shown

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

Smullen, Daniel, et al.. (2021). Managing Potentially Intrusive Practices in the Browser: A User-Centered Perspective. SHILAP Revista de lepidopterología. 2021(4). 500–527. 4 indexed citations

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

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

Smullen, Daniel, et al.. (2020). The Best of Both Worlds: Mitigating Trade-offs Between Accuracy and User Burden in Capturing Mobile App Privacy Preferences. SHILAP Revista de lepidopterología. 2020(1). 195–215. 25 indexed citations

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

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

Das, Anupam, Martin Degeling, Daniel Smullen, & Norman Sadeh. (2018). Personalized Privacy Assistants for the Internet of Things: Providing Users with Notice and Choice. IEEE Pervasive Computing. 17(3). 35–46. 76 indexed citations

Bhatia, Jaspreet, et al.. (2016). Privacy Risk in Cybersecurity Data Sharing. 57–64. 11 indexed citations

10.

Smullen, Daniel & Travis D. Breaux. (2016). Modeling, analyzing, and consistency checking privacy requirements using eddy. 432. 118–120. 3 indexed citations

11.

Breaux, Travis D., et al.. (2015). Detecting repurposing and over-collection in multi-party privacy requirements specifications. 166–175. 15 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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