Nathan Good

460 total citations
11 papers, 256 citations indexed

About

Nathan Good is a scholar working on Sociology and Political Science, Signal Processing and Information Systems. According to data from OpenAlex, Nathan Good has authored 11 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Sociology and Political Science, 5 papers in Signal Processing and 3 papers in Information Systems. Recurrent topics in Nathan Good's work include Privacy, Security, and Data Protection (7 papers), Advanced Malware Detection Techniques (5 papers) and User Authentication and Security Systems (2 papers). Nathan Good is often cited by papers focused on Privacy, Security, and Data Protection (7 papers), Advanced Malware Detection Techniques (5 papers) and User Authentication and Security Systems (2 papers). Nathan Good collaborates with scholars based in United States, Canada and Switzerland. Nathan Good's co-authors include Ira Rubinstein, Chris Jay Hoofnagle, Ashkan Soltani, David Wagner, Serge Egelman, Primal Wijesekera, Joel Reardon, Irwin Reyes, Konstantin Beznosov and Khaled El Emam and has published in prestigious journals such as Trials, Symposium On Usable Privacy and Security and ScholarWorks@UMassAmherst (University of Massachusetts Amherst).

In The Last Decade

Nathan Good

11 papers receiving 240 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nathan Good United States	7	169	117	93	68	22	11	256
Lothar Fritsch Sweden	8	124 0.7×	100 0.9×	63 0.7×	47 0.7×	25 1.1×	39	215
Sai Teja Peddinti United States	10	133 0.8×	96 0.8×	113 1.2×	56 0.8×	32 1.5×	19	263
Jaspreet Bhatia United States	11	259 1.5×	242 2.1×	181 1.9×	116 1.7×	27 1.2×	21	437
Peter Story United States	9	234 1.4×	135 1.2×	159 1.7×	55 0.8×	13 0.6×	10	338
Sofia Sherman Israel	9	120 0.7×	135 1.2×	68 0.7×	23 0.3×	29 1.3×	27	271
N. Cameron Russell United States	8	373 2.2×	183 1.6×	234 2.5×	74 1.1×	16 0.7×	14	489
Hamza Harkous Switzerland	7	142 0.8×	92 0.8×	107 1.2×	21 0.3×	61 2.8×	14	246
Mads Schaarup Andersen Denmark	4	176 1.0×	98 0.8×	110 1.2×	42 0.6×	12 0.5×	8	263
Ashkan Soltani United States	6	175 1.0×	144 1.2×	119 1.3×	57 0.8×	24 1.1×	10	272
Oana Goga France	6	150 0.9×	67 0.6×	92 1.0×	15 0.2×	20 0.9×	13	240

Countries citing papers authored by Nathan Good

Since Specialization

Citations

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

Fields of papers citing papers by Nathan Good

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan Good

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Good. A scholar is included among the top collaborators of Nathan Good 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 Nathan Good. Nathan Good 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

1.

Branson, Janice, et al.. (2020). Evaluating the re-identification risk of a clinical study report anonymized under EMA Policy 0070 and Health Canada Regulations. Trials. 21(1). 200–200. 13 indexed citations

2.

Good, Nathan, et al.. (2019). ‘When the Dust Doesn’t Settle’ – GDPR Compliance One Year In. SSRN Electronic Journal. 1 indexed citations

3.

Wijesekera, Primal, Joel Reardon, Irwin Reyes, et al.. (2018). Contextualizing Privacy Decisions for Better Prediction (and Protection). 1–13. 45 indexed citations

4.

Wijesekera, Primal, Joel Reardon, Irwin Reyes, et al.. (2017). Turtle Guard: Helping Android Users Apply Contextual Privacy Preferences. Symposium On Usable Privacy and Security. 145–162. 25 indexed citations

5.

Hoofnagle, Chris Jay, et al.. (2012). Behavioral Advertising: The Offer You Cannot Refuse. SSRN Electronic Journal. 20 indexed citations

6.

Hoofnagle, Chris Jay & Nathan Good. (2012). Web Privacy Census. SSRN Electronic Journal. 7 indexed citations

7.

Rubinstein, Ira & Nathan Good. (2012). Privacy by Design: A Counterfactual Analysis of Google and Facebook Privacy Incidents. SSRN Electronic Journal. 51 indexed citations

8.

Soltani, Ashkan, et al.. (2011). Flash Cookies and Privacy II: Now with HTML5 and ETag Respawning. SSRN Electronic Journal. 88 indexed citations

9.

Good, Nathan. (2005). Regular Expression Recipes for Windows Developers: A Problem-Solution Approach (A Problem-Solution Approach). Apress eBooks. 1 indexed citations

10.

Good, Nathan. (2005). Regular Expression Recipes for Windows Developers. Apress eBooks. 1 indexed citations

11.

Good, Nathan, et al.. (2004). Radio frequency Id and privacy with information goods. ScholarWorks@UMassAmherst (University of Massachusetts Amherst). 41–42. 4 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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