Sean Kross

715 total citations
19 papers, 464 citations indexed

About

Sean Kross is a scholar working on Computer Science Applications, Sociology and Political Science and Information Systems. According to data from OpenAlex, Sean Kross has authored 19 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Science Applications, 7 papers in Sociology and Political Science and 7 papers in Information Systems. Recurrent topics in Sean Kross's work include Privacy, Security, and Data Protection (5 papers), Online Learning and Analytics (4 papers) and Spam and Phishing Detection (4 papers). Sean Kross is often cited by papers focused on Privacy, Security, and Data Protection (5 papers), Online Learning and Analytics (4 papers) and Spam and Phishing Detection (4 papers). Sean Kross collaborates with scholars based in United States, Switzerland and Netherlands. Sean Kross's co-authors include Elissa M. Redmiles, Michelle L. Mazurek, Philip J. Guo, Daniel G. Goldstein, Jake M. Hofman, Roger D. Peng, Brian Caffo, Jeffrey T. Leek, Ziyun Zhu and Alisha Pradhan and has published in prestigious journals such as SHILAP Revista de lepidopterología, The American Statistician and The R Journal.

In The Last Decade

Sean Kross

19 papers receiving 450 citations

Peers

Sean Kross
Ilaria Liccardi United States
Nathan Malkin United States
Nava Tintarev Netherlands
Ruogu Kang United States
Frances S. Grodzinsky United States
Joanna Bresee United States
Martin Degeling Germany
Chris Newell Switzerland
Andrew Besmer United States
Hazim Almuhimedi United States
Ilaria Liccardi United States
Sean Kross
Citations per year, relative to Sean Kross Sean Kross (= 1×) peers Ilaria Liccardi

Countries citing papers authored by Sean Kross

Since Specialization
Citations

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

Fields of papers citing papers by Sean Kross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sean Kross

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

All Works

19 of 19 papers shown
1.
Kross, Sean, et al.. (2023). Reciprocity in Dyads and Triads: Female Rats Alter Their Prosocial Behavior According to the Social Context. SHILAP Revista de lepidopterología. 10(3). 169–210. 1 indexed citations
2.
Lau, Sam, Sean Kross, Eugene Wu, & Philip J. Guo. (2023). Teaching Data Science by Visualizing Data Table Transformations: Pandas Tutor for Python, Tidy Data Tutor for R, and SQL Tutor. 50–55. 4 indexed citations
3.
4.
Kross, Sean, Eszter Hargittai, & Elissa M. Redmiles. (2021). Characterizing the Online Learning Landscape: What and How People Learn Online. arXiv (Cornell University). 7 indexed citations
5.
Kross, Sean, et al.. (2021). Datamations: Animated Explanations of Data Analysis Pipelines. 1–14. 23 indexed citations
6.
Kross, Sean, et al.. (2020). Learn R, in R [R package swirl version 2.4.5]. 1 indexed citations
7.
Kross, Sean, et al.. (2020). Tools for Analyzing R Code the Tidy Way. The R Journal. 12(1). 226–226. 1 indexed citations
8.
Redmiles, Elissa M., et al.. (2020). A Comprehensive Quality Evaluation of Security and Privacy Advice on the Web. 89–108. 21 indexed citations
9.
10.
Kross, Sean, et al.. (2019). The Democratization of Data Science Education. The American Statistician. 74(1). 1–7. 23 indexed citations
11.
Redmiles, Elissa M., Sudha Rao, Kristina Gligorić, et al.. (2019). Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts. 4830–4841. 5 indexed citations
12.
Redmiles, Elissa M., Sean Kross, & Michelle L. Mazurek. (2019). How Well Do My Results Generalize? Comparing Security and Privacy Survey Results from MTurk, Web, and Telephone Samples. 1326–1343. 132 indexed citations
13.
Kross, Sean & Philip J. Guo. (2019). Practitioners Teaching Data Science in Industry and Academia. 1–14. 57 indexed citations
14.
Kross, Sean & Philip J. Guo. (2018). Students, systems, and interactions. 1–10. 19 indexed citations
15.
Redmiles, Elissa M., et al.. (2018). Asking for a Friend. 1238–1255. 23 indexed citations
16.
Redmiles, Elissa M., Sean Kross, Alisha Pradhan, & Michelle L. Mazurek. (2017). How Well Do My Results Generalize? Comparing Security and Privacy Survey Results from MTurk and Web Panels to the U.S.. Digital Repository at the University of Maryland (University of Maryland College Park). 14 indexed citations
17.
Redmiles, Elissa M., Sean Kross, & Michelle L. Mazurek. (2017). Where is the Digital Divide?. 931–936. 39 indexed citations
18.
Redmiles, Elissa M., Sean Kross, & Michelle L. Mazurek. (2016). How I Learned to be Secure. 666–677. 87 indexed citations
19.
Redmiles, Elissa M., et al.. (2015). A Classroom Tested Accessible Multimedia Resource for Engaging Underrepresented Students in Computing. 178–178. 1 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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