Deepak Garg

About

Deepak Garg is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Deepak Garg has authored 51 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 17 papers in Signal Processing and 14 papers in Computer Networks and Communications. Recurrent topics in Deepak Garg’s work include Security and Verification in Computing (30 papers), Logic, programming, and type systems (20 papers) and Advanced Malware Detection Techniques (17 papers). Deepak Garg is often cited by papers focused on Security and Verification in Computing (30 papers), Logic, programming, and type systems (20 papers) and Advanced Malware Detection Techniques (17 papers). Deepak Garg collaborates with scholars based in Germany, United States and Spain. Deepak Garg's co-authors include Anindya Banerjee, Aleksandar Nanevski, Derek Dreyer, Marco Gaboardi, Gilles Barthe, Peter Druschel, David Swasey, Frank Pfenning, Dilsun Kaynar and Robbert Krebbers and has published in prestigious journals such as Scientific Reports, Veterinary Record and Lecture notes in computer science.

In The Last Decade

Co-authorship network of co-authors of Deepak Garg i

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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.

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).

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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