Deepak Garg

2.5k citations
85 papers · 999 · h-index 17

Impact in

    • Security and Verification in Computing
    • Logic, programming, and type systems
    • Logic, Reasoning, and Knowledge
    • Advanced Malware Detection Techniques

Papers in

Deepak Garg

75 papers receiving 949 citations

Peers

Deepak Garg
Comparison fields: 5 of 60
  • Artificial Intelligence 815
  • Signal Processing 251
  • Hardware and Architecture 140
  • Software 65
  • Computational Theory and Mathematics 201
Replace Pau-Chen Cheng with:
Pau-Chen Cheng United States
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Markulf Kohlweiss United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Deepak Garg

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201153
2 200652
3
ERIM: Secure, Efficient In-process Isolation with Protection Keys (MPK)
201949
4 201149
5 200946
6 201045
7 202145
8 201643
9 201633
10 201331
11 201728
12 200827
13 201022
14 201522
15 201719
16 201718
17 202217
18
Consumable Credentials in Linear-Logic-Based Access-Control Systems.
200716
19 201216
20 201915

About Deepak Garg

Deepak Garg is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Networks and Communications and Sociology and Political Science, having authored 85 papers that have together received 999 indexed citations. Recurring topics across this work include Security and Verification in Computing (46 papers), Logic, programming, and type systems (30 papers), Advanced Malware Detection Techniques (24 papers), Access Control and Trust (15 papers), Cryptography and Data Security (13 papers), Formal Methods in Verification (13 papers), Distributed systems and fault tolerance (13 papers) and Cloud Data Security Solutions (10 papers). The work is most often cited by research in Artificial Intelligence (815 citations), Signal Processing (251 citations), Hardware and Architecture (140 citations), Software (65 citations) and Computational Theory and Mathematics (201 citations). Deepak Garg has collaborated with scholars based in Germany, United States and India. Frequent co-authors include Anupam Datta, Limin Jia, Derek Dreyer, Dilsun Kaynar, Anindya Banerjee, Peter Druschel, Aleksandar Nanevski, Frank Pfenning, Gilles Barthe and Jason Franklin. Their work appears in journals such as Proceedings of the ACM on Programming Languages, Journal of Computer Security, ACM SIGPLAN Notices, ACM Transactions on Programming Languages and Systems and Journal of Functional Programming.

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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