Deepak Chandra

970 citations
18 papers · 562 · h-index 8

Impact in

    • Advanced Malware Detection Techniques
    • Biometric Identification and Security
    • User Authentication and Security Systems
    • Cloud Data Security Solutions

Papers in

Deepak Chandra

16 papers receiving 528 citations

Peers

Deepak Chandra
Comparison fields: 5 of 62
  • Signal Processing 284
  • Information Systems 356
  • Human-Computer Interaction 55
  • Artificial Intelligence 226
  • Computer Networks and Communications 110
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Jeong Hyun Yi South Korea
Teruhisa Hochin Japan
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Deepak Chandra relative to Christopher Wolf United States Christopher Wolf's profile →
Citations per field
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Citations per year

Countries citing papers authored by Deepak Chandra

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Chandra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Deepak Chandra, 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 Chandra Line = papers co-authored together Deepak Chandra links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2016199
2 2004147
3 201570
4 200759
5 201724
6 200216
7 20009
8
Awarded Best Paper! Semantic Remote Attestation - Virtual Machine Directed Approach to Trusted Computing.
20049
9
Information flow analysis and enforcement in java bytecode
20067
10 20157
11 20035
12 19934
13 20152
14
LATE FORMATION OF QUARK STARS AND THEIR POSSIBLE SURVIVAL
19982
15 20051
16 20071
17 19960
18 20030

About Deepak Chandra

Deepak Chandra is a scholar working on Artificial Intelligence, Astronomy and Astrophysics, Information Systems, Nuclear and High Energy Physics and Computer Networks and Communications, having authored 18 papers that have together received 562 indexed citations. Recurring topics across this work include Security and Verification in Computing (7 papers), Cosmology and Gravitation Theories (5 papers), Pulsars and Gravitational Waves Research (4 papers), Advanced Malware Detection Techniques (3 papers), User Authentication and Security Systems (3 papers), Logic, programming, and type systems (2 papers), Distributed systems and fault tolerance (2 papers) and Black Holes and Theoretical Physics (2 papers). The work is most often cited by research in Signal Processing (284 citations), Information Systems (356 citations), Human-Computer Interaction (55 citations), Artificial Intelligence (226 citations) and Computer Networks and Communications (110 citations). Deepak Chandra has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Michael Franz, Brandon Barbello, Vivek Haldar, Vishal M. Patel, Rama Chellappa, David Crouse, Hu Han, Anil K. Jain, Ashok Goyal and Munehiko Sato. Their work appears in journals such as Science of Computer Programming, IEEE Signal Processing Magazine, Frontiers in Genetics, International Journal of Modern Physics A and Pramana.

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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