Sauvik Das

2.8k citations
72 papers · 1.7k indexed · 1 hit paper · h-index 22

Sauvik Das

68 papers receiving 1.6k citations

Hit Papers

ACCessory263201220262016202150100150200250

Peers

Sauvik Das
Comparison fields: 5 of 89
  • Human-Computer Interaction 182
  • Computer Networks and Communications 688
  • Signal Processing 306
  • Information Systems 511
  • Communication 105
Replace Kami Vaniea with:
Kami Vaniea United Kingdom
Anita Komlódi United States
E Schultz United States
Robert W. Reeder United States
Martina Angela Sasse United Kingdom
Kirstie Hawkey Canada
Janne Lindqvist United States
Narseo Vallina-Rodríguez Spain
Arosha K. Bandara United Kingdom
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Citations per year

Countries citing papers authored by Sauvik Das

Since Specialization
Citations

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

Fields of papers citing papers by Sauvik Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Sauvik Das, 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 Sauvik Das Line = papers co-authored together Sauvik Das links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20240
4 20248
5 20249
6 202423
7 20243
8 20242
9 20242
10 202312
11 202130
12
Blind and Human: Exploring More Usable Audio {CAPTCHA} Designs
20204
13
A Typology of Perceived Triggers for End-User Security and Privacy Behaviors
201912
14 20196
15 201819
16
Examining Visual-Spatial Paths for Mobile Authentication
20162
17
Expert and Non-Expert Attitudes towards (Secure) Instant Messaging
201628
18 20151
19 200714
20 200678

About Sauvik Das

Sauvik Das is a scholar working on Human-Computer Interaction, Health Informatics, Communication, Information Systems and Computer Networks and Communications, having authored 72 papers that have together received 1.7k indexed citations. Recurring topics across this work include Privacy, Security, and Data Protection (31 papers), Mobile Ad Hoc Networks (15 papers), User Authentication and Security Systems (14 papers), Opportunistic and Delay-Tolerant Networks (10 papers), Social Media and Politics (8 papers), Innovative Human-Technology Interaction (8 papers), Spam and Phishing Detection (6 papers) and Energy Efficient Wireless Sensor Networks (6 papers). The work is most often cited by research in Human-Computer Interaction (182 citations), Computer Networks and Communications (688 citations), Signal Processing (306 citations), Information Systems (511 citations) and Communication (105 citations). Sauvik Das has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Himabindu Pucha, Y. Charlie Hu, Jason Hong, Dimitrios Koutsonikolas, Adrian Perrig, Jun Han, Emmanuel Owusu, Joy Zhang, Ying Hu and Laura Dabbish. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, IEEE Journal on Selected Areas in Communications, Human-Computer Interaction and IEEE Transactions on Parallel and Distributed Systems.

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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