Sanjam Garg

7.1k citations
32 papers · 651 · h-index 10

Impact in

    • Cryptography and Data Security
    • Privacy-Preserving Technologies in Data
    • Cryptographic Implementations and Security
    • Security and Verification in Computing
    • Internet Traffic Analysis and Secure E-voting
    • Complexity and Algorithms in Graphs

Papers in

Sanjam Garg

30 papers receiving 616 citations

Peers

Sanjam Garg
Comparison fields: 5 of 35
  • Artificial Intelligence 561
  • Computational Theory and Mathematics 185
  • Signal Processing 85
  • Information Systems 163
  • Computer Vision and Pattern Recognition 81
Replace Haipeng Qu with:
Haipeng Qu China
Massimo Merro Italy
Tung‐Tso Tsai Taiwan
Richard C. T. Lee Taiwan
Adel Bouhoula Tunisia
Michel Abdalla⋆ France
Shiqing Fan China
Chanathip Namprempre Thailand
Rishabh Poddar United States
Thomas Peyrin Singapore
Sanjam Garg relative to Haipeng Qu China Haipeng Qu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sanjam Garg

Since Specialization
Citations

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

Fields of papers citing papers by Sanjam Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013262
2 201672
3 201365
4 200760
5 201032
6 201523
7 202121
8 202216
9 202314
10 201511
11 20158
12 20178
13 20087
14 20246
15 20166
16 20235
17 20175
18 20254
19 20224
20 20184

About Sanjam Garg

Sanjam Garg is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Information Systems and Signal Processing, having authored 32 papers that have together received 651 indexed citations. Recurring topics across this work include Cryptography and Data Security (27 papers), Complexity and Algorithms in Graphs (17 papers), Privacy-Preserving Technologies in Data (10 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Cryptographic Implementations and Security (5 papers), Advanced Malware Detection Techniques (3 papers), Advanced Steganography and Watermarking Techniques (3 papers) and Chaos-based Image/Signal Encryption (3 papers). The work is most often cited by research in Artificial Intelligence (561 citations), Computational Theory and Mathematics (185 citations), Signal Processing (85 citations), Information Systems (163 citations) and Computer Vision and Pattern Recognition (81 citations). Sanjam Garg has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Brent Waters, Amit Sahai, Craig Gentry, Shai Halevi, Mariana Raykova, Michael LeMay, Carl A. Gunter, George Gross, Mohammad Mahmoody and Abishek Kumarasubramanian. Their work appears in journals such as SIAM Journal on Computing, Journal of the ACM, Algorithmica, Journal of Cryptology and Communications of the ACM.

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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