Sushil Jajodia

35.5k citations
511 papers · 18.5k indexed · 5 hit papers · h-index 70

Sushil Jajodia

483 papers receiving 16.6k citations

Hit Papers

Data synthesis based on...3081998202620072016250500750

Peers

Sushil Jajodia
Comparison fields: 5 of 153
  • Computer Networks and Communications 10.7k
  • Signal Processing 3.6k
  • Information Systems 6.4k
  • Artificial Intelligence 7.8k
  • Computer Vision and Pattern Recognition 2.4k
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Citations per field
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Citations per year

Countries citing papers authored by Sushil Jajodia

Since Specialization
Citations

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

Fields of papers citing papers by Sushil Jajodia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20243
3 20242
4 20220
5 20222
6 202110
7 20205
8 20207
9 201934
10 20197
11 201811
12 201732
13 20111
14
Over-encryption: management of access control evolution on outsourced data
2007228
15
Proceedings of the 2006 ACM Symposium on Information, computer and communications security
200617
16
Information hiding: steganography, attacks, and countermeasures
20003
17
Mining Temporal Relationships with Multiple Granularities in Time Sequences
199861
18
Reduction in transaction conflicts using semantics-based concurrency control
19951
19
Orange Locking: Channel-Free Database Concurrency Control Via Locking.
19921
20 19810

About Sushil Jajodia

Sushil Jajodia is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems, having authored 511 papers that have together received 18.5k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (111 papers), Cryptography and Data Security (104 papers), Distributed systems and fault tolerance (90 papers), Access Control and Trust (87 papers), Information and Cyber Security (61 papers), Advanced Malware Detection Techniques (59 papers), Security and Verification in Computing (55 papers) and Internet Traffic Analysis and Secure E-voting (53 papers). The work is most often cited by research in Computer Networks and Communications (10.7k citations), Signal Processing (3.6k citations) and Information Systems (6.4k citations). Sushil Jajodia has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Sanjeev Setia, Sencun Zhu, Neil F. Johnson, Pierangela Samarati, Steven Noel, Lingyu Wang, V. S. Subrahmanian, Cláudio Bettini, Haining Wang and Sabrina De Capitani di Vimercati. Their work appears in journals such as NeuroImage, Communications of the ACM and European Urology.

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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