Sean Kross
Impact in
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- Scientific Computing and Data Management
Papers in
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- Online Learning and Analytics 4
- Teaching and Learning Programming 3
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- Privacy, Security, and Data Protection 5
- Co-authors
- Elissa M. Redmiles (10 shared papers)Michelle L. Mazurek (7 shared papers)Philip J. Guo (5 shared papers)Jake M. Hofman (1 shared paper)Daniel G. Goldstein (1 shared paper)Jeffrey T. Leek (2 shared papers)Roger D. Peng (1 shared paper)Brian Caffo (1 shared paper)
- Journals
- The American Statistician (1 paper)The R Journal (1 paper)Digital Repository at the University of Maryland (University of Maryland College Park) (1 paper)Animal Behavior and Cognition (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Sean Kross
19 papers receiving 472 citations
Peers
Comparison fields: 5 of 69
- Computer Science Applications 75
- Information Systems and Management 66
- Information Systems 194
- Human-Computer Interaction 44
- Communication 38
Countries citing papers authored by Sean Kross
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
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-authors
The 23 scholars most cited alongside Sean Kross, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 136 | |
| 2 | 2016 | 95 | |
| 3 | 2019 | 57 | |
| 4 | 2017 | 43 | |
| 5 | 2021 | 25 | |
| 6 | 2018 | 24 | |
| 7 | 2019 | 23 | |
| 8 | A Comprehensive Quality Evaluation of Security and Privacy Advice on the Web | 2020 | 21 |
| 9 | 2018 | 20 | |
| 10 | 2017 | 15 | |
| 11 | 2021 | 9 | |
| 12 | 2019 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2023 | 4 | |
| 15 | 2019 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2015 | 1 | |
| 18 | Learn R, in R [R package swirl version 2.4.5] | 2020 | 1 |
| 19 | 2020 | 1 | |
| 20 | 2026 | 0 |
About Sean Kross
Sean Kross is a scholar working on Computer Science Applications, Sociology and Political Science, Information Systems, Artificial Intelligence and Information Systems and Management, having authored 20 papers that have together received 487 indexed citations. Recurring topics across this work include Privacy, Security, and Data Protection (5 papers), Spam and Phishing Detection (4 papers), Online Learning and Analytics (4 papers), Teaching and Learning Programming (3 papers), Scientific Computing and Data Management (3 papers), Data Visualization and Analytics (2 papers), Data Analysis with R (2 papers) and Statistics Education and Methodologies (2 papers). The work is most often cited by research in Computer Science Applications (75 citations), Information Systems and Management (66 citations), Information Systems (194 citations), Human-Computer Interaction (44 citations) and Communication (38 citations). Sean Kross has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Elissa M. Redmiles, Michelle L. Mazurek, Philip J. Guo, Jake M. Hofman, Daniel G. Goldstein, Jeffrey T. Leek, Roger D. Peng, Brian Caffo, Alisha Pradhan and Tudor Dumitraş. Their work appears in journals such as The American Statistician, The R Journal, Digital Repository at the University of Maryland (University of Maryland College Park), Animal Behavior and Cognition and arXiv (Cornell University).
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.