Sameer Patil

75 papers receiving 1.2k citations

Peers

Sameer Patil
Comparison fields: 5 of 99
  • Human-Computer Interaction 190
  • Communication 212
  • Information Systems and Management 147
  • Computer Science Applications 113
  • Sociology and Political Science 857
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Countries citing papers authored by Sameer Patil

Since Specialization
Citations

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

Fields of papers citing papers by Sameer Patil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sameer Patil, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sameer Patil Line = papers co-authored together Sameer Patil links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020121
2 2005115
3
Balancing Audience and Privacy Tensions on Social Network Sites: Strategies of Highly Engaged Users
201559
4 201257
5 202254
6 201552
7 202151
8 202242
9 201940
10 201035
11 200933
12 201531
13 201431
14 201230
15 202130
16 202129
17 201127
18
New me: Understanding expert and non-expert perceptions and usage of the Tor anonymity network
201727
19
Balancing Audience and Privacy Tensions on Social Network Sites
201523
20 202122

About Sameer Patil

Sameer Patil is a scholar working on Human-Computer Interaction, Information Systems and Management, Sociology and Political Science, Information Systems and Communication, having authored 78 papers that have together received 1.3k indexed citations. Recurring topics across this work include Privacy, Security, and Data Protection (47 papers), Innovative Human-Technology Interaction (16 papers), Personal Information Management and User Behavior (12 papers), User Authentication and Security Systems (11 papers), Social Media and Politics (11 papers), Impact of Technology on Adolescents (9 papers), Privacy-Preserving Technologies in Data (7 papers) and Misinformation and Its Impacts (5 papers). The work is most often cited by research in Human-Computer Interaction (190 citations), Communication (212 citations), Information Systems and Management (147 citations), Computer Science Applications (113 citations) and Sociology and Political Science (857 citations). Sameer Patil has collaborated with scholars based in United States, Finland and India. Frequent co-authors include Alfred Kobsa, Jennifer C. Lai, Nasir D. Memon, Apu Kapadia, John S. Seberger, Adam J. Lee, Jessica Vitak, Nicholas Micallef, Irina Shklovski and Eden Litt. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Interacting with Computers, Behaviour and Information Technology, Information and Software Technology and Journal of Cybersecurity.

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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