Anupam Das

1.7k total citations · 1 hit paper
36 papers, 1.1k citations indexed

About

Anupam Das is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Anupam Das has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 15 papers in Information Systems and 15 papers in Signal Processing. Recurrent topics in Anupam Das's work include Advanced Malware Detection Techniques (8 papers), Internet Traffic Analysis and Secure E-voting (7 papers) and Privacy, Security, and Data Protection (7 papers). Anupam Das is often cited by papers focused on Advanced Malware Detection Techniques (8 papers), Internet Traffic Analysis and Secure E-voting (7 papers) and Privacy, Security, and Data Protection (7 papers). Anupam Das collaborates with scholars based in United States, Bangladesh and Japan. Anupam Das's co-authors include Nikita Borisov, Matthew Caesar, Joseph Bonneau, Xiaofeng Wang, Norman Sadeh, Lujo Bauer, Mahadev Satyanarayanan, Junjue Wang, Limin Jia and Padmanabhan Pillai and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and IEEE Transactions on Dependable and Secure Computing.

In The Last Decade

Anupam Das

33 papers receiving 1.0k citations

Hit Papers

The Tangled Web of Password Reuse 2014 2026 2018 2022 2014 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Tangled Web of Password Reuse
    2014 261 citations Anupam Das, Matthew Caesar et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anupam Das United States 15 590 489 371 230 217 36 1.1k
Ian Fette United States 5 510 0.9× 252 0.5× 373 1.0× 291 1.3× 83 0.4× 8 906
Adam J. Aviv United States 18 830 1.4× 667 1.4× 376 1.0× 443 1.9× 107 0.5× 79 1.3k
Markus Dürmuth Germany 12 447 0.8× 401 0.8× 272 0.7× 114 0.5× 92 0.4× 41 725
Einar Snekkenes Norway 14 337 0.6× 167 0.3× 249 0.7× 177 0.8× 234 1.1× 42 845
Mengjun Xie United States 15 368 0.6× 254 0.5× 247 0.7× 372 1.6× 83 0.4× 60 899
Mohammad Mannan Canada 16 564 1.0× 415 0.8× 296 0.8× 288 1.3× 49 0.2× 62 866
Roman Schlegel Switzerland 11 278 0.5× 298 0.6× 334 0.9× 236 1.0× 30 0.1× 19 648
Kuan‐Ta Chen Taiwan 16 120 0.2× 278 0.6× 147 0.4× 253 1.1× 488 2.2× 30 844
Jiuxin Cao China 19 412 0.7× 120 0.2× 430 1.2× 224 1.0× 157 0.7× 104 940
Roksana Boreli Australia 15 317 0.5× 395 0.8× 509 1.4× 786 3.4× 84 0.4× 54 1.2k

Countries citing papers authored by Anupam Das

Since Specialization
Citations

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

Fields of papers citing papers by Anupam Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anupam Das

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

All Works

20 of 20 papers shown
1.
Islam, Md. Shariful, et al.. (2024). Detecting Smart Home Device Activities Using Packet-Level Signatures From Encrypted Traffic. IEEE Transactions on Dependable and Secure Computing. 22(2). 1070–1081. 2 indexed citations
2.
Huang, Danny Yuxing, et al.. (2024). Connecting the Dots: Tracing Data Endpoints in IoT Devices. Proceedings on Privacy Enhancing Technologies. 2024(3). 495–522.
3.
4.
Das, Anupam, et al.. (2024). Guardian Box through Honeypot Using Shielded Socket for Linux Distribution. 1–8. 1 indexed citations
5.
Zhang, Shaohu, et al.. (2023). VoicePM: A Robust Privacy Measurement on Voice Anonymity. 215–226. 8 indexed citations
6.
Das, Anupam, et al.. (2023). Comparative Privacy Analysis of Mobile Browsers. 3–14. 3 indexed citations
7.
Das, Anupam, et al.. (2022). Hey Alexa, Who Am I Talking to?: Analyzing Users’ Perception and Awareness Regarding Third-party Alexa Skills. CHI Conference on Human Factors in Computing Systems. 1–15. 8 indexed citations
8.
Das, Anupam, et al.. (2021). Understanding the Privacy Implications of Adblock Plus's Acceptable Ads. 644–657. 3 indexed citations
9.
Zhang, Shikun, Yuanyuan Feng, Lujo Bauer, et al.. (2021). “Did you know this camera tracks your mood?”: Understanding Privacy Expectations and Preferences in the Age of Video Analytics. SHILAP Revista de lepidopterología. 2021(2). 282–304. 15 indexed citations
10.
Cobb, Camille, et al.. (2020). How risky are real users' IFTTT applets?. Symposium On Usable Privacy and Security. 505–529. 6 indexed citations
11.
Das, Anupam, Nikita Borisov, & Edward Chou. (2018). Every Move You Make: Exploring Practical Issues in Smartphone Motion Sensor Fingerprinting and Countermeasures. SHILAP Revista de lepidopterología. 2018(1). 88–108. 24 indexed citations
12.
Degeling, Martin, Roberto Yus, Anupam Das, et al.. (2017). Towards Privacy-Aware Smart Buildings: Capturing, Communicating, and Enforcing Privacy Policies and Preferences. Maryland Shared Open Access Repository (USMAI Consortium). 193–198. 37 indexed citations
13.
Ji, Shouling, et al.. (2017). Password correlation: Quantification, evaluation and application. 1–9. 4 indexed citations
14.
Wang, Junjue, Brandon Amos, Anupam Das, et al.. (2017). A Scalable and Privacy-Aware IoT Service for Live Video Analytics. 38–49. 85 indexed citations
15.
Das, Anupam, Martin Degeling, Xiaoyou Wang, et al.. (2017). Assisting Users in a World Full of Cameras: A Privacy-Aware Infrastructure for Computer Vision Applications. 1387–1396. 47 indexed citations
16.
Juen, Joshua, Aaron Johnson, Anupam Das, Nikita Borisov, & Matthew Caesar. (2015). Defending Tor from Network Adversaries: A Case Study of Network Path Prediction. SHILAP Revista de lepidopterología. 24 indexed citations
17.
Das, Anupam, Nikita Borisov, & Matthew Caesar. (2014). Do You Hear What I Hear?. 441–452. 105 indexed citations
18.
Das, Anupam, Cristian Lumezanu, Yueping Zhang, et al.. (2013). Transparent and Flexible Network Management for Big Data Processing in the Cloud. 44 indexed citations
19.
20.
Das, Anupam & R. Srikant. (2000). Diffusion approximations for a single node accessed by congestion-controlled sources. IEEE Transactions on Automatic Control. 45(10). 1783–1799. 13 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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