Vassil Roussev

2.7k citations
49 papers · 1.4k indexed · h-index 22

Vassil Roussev

46 papers receiving 1.3k citations

Peers

Vassil Roussev
Comparison fields: 5 of 66
  • Signal Processing 927
  • Information Systems 1.1k
  • Computer Vision and Pattern Recognition 541
  • Computer Networks and Communications 376
  • Software 44
Replace Sangjin Lee with:
Sangjin Lee South Korea
Shinsaku Kiyomoto Japan
Adam Bates United States
Mariano P. Consens Canada
Arturo Ribagorda Spain
Sebastian Schrittwieser Austria
Clark Thomborson New Zealand
Yinzhi Cao United States
Guangdong Bai Australia
Agostino Cortesi Italy
Vassil Roussev relative to Sangjin Lee South Korea Sangjin Lee's profile →
Citations per field
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Sangjin Lee · 1×
Citations per year

Countries citing papers authored by Vassil Roussev

Since Specialization
Citations

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

Fields of papers citing papers by Vassil Roussev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 16 scholars most cited alongside Vassil Roussev, 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 Vassil Roussev Line = papers co-authored together Vassil Roussev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20181
2 20187
3
Peer Instruction for Digital Forensics.
20177
4 20172
5
Development of Peer Instruction Questions for Cybersecurity Education
201611
6 201635
7 20164
8 20122
9 201176
10 201051
11 200912
12 200927
13 2009258
14 20061
15 200628
16
Scalpel: A Frugal, High Performance File Carver.
200599
17
Breaking the Performance Wall – The Case for Distributed Digital Forensics
200458
18 20046
19 20020
20 200015

About Vassil Roussev

Vassil Roussev is a scholar working on Signal Processing, Information Systems, Software, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 49 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (29 papers), Digital and Cyber Forensics (28 papers), Advanced Data Storage Technologies (10 papers), Digital Media Forensic Detection (8 papers), Security and Verification in Computing (5 papers), Smart Grid Security and Resilience (3 papers), Caching and Content Delivery (3 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). The work is most often cited by research in Signal Processing (927 citations), Information Systems (1.1k citations), Computer Vision and Pattern Recognition (541 citations), Computer Networks and Communications (376 citations) and Software (44 citations). Vassil Roussev has collaborated with scholars based in United States and Germany. Frequent co-authors include Golden G. Richard, Simson Garfinkel, Irfan Ahmed, George W. Dinolt, Lodovico Marziale, Robert E. Martell, Frank Breitinger, Andrew Case, Sebastian Obermeier and Alex Nelson. Their work appears in journals such as Digital Investigation, IEEE Security & Privacy, Communications of the ACM, Journal of the American Veterinary Medical Association and USENIX Security Symposium.

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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