Sujata Garera

606 citations
6 papers · 392 indexed · 1 hit paper · h-index 5
Topics
Advanced Malware Detection Techniques (3 papers)Internet Traffic Analysis and Secure E-voting (2 papers)User Authentication and Security Systems (2 papers)
Partner nations
United States

In The Last Decade

Sujata Garera

6 papers receiving 329 citations

Hit Papers

A framework for detection and measurement of phishing att...20072026201320192007100200300

Peers

Sujata Garera
Comparison fields: 5 of 23
  • Information Systems 337
  • Signal Processing 256
  • Artificial Intelligence 167
  • Computer Networks and Communications 153
  • Sociology and Political Science 63
Replace Ronghai Yang with:
Ronghai Yang Hong Kong
Jinseong Jeon United States
Vivek Haldar United States
Enriquillo Valdez United States
Thomas Muders Germany
Christian Mainka Germany
Stefano Calzavara Italy
Adwait Nadkarni United States
Charles Lever United States
Oleksii Starov United States
Sujata Garera relative to Ronghai Yang Hong Kong Ronghai Yang's profile →
Citations per field
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Ronghai Yang · 1×
Citations per year

Countries citing papers authored by Sujata Garera

Since Specialization
Citations

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

Fields of papers citing papers by Sujata Garera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujata Garera

This figure shows the co-authorship network connecting the top 25 collaborators of Sujata Garera. A scholar is included among the top collaborators of Sujata Garera based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sujata Garera. Sujata Garera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 29
2 3
3 10
4
On the difficulty of validating voting machine software with software
17
5 11
6
A framework for detection and measurement of phishing attacksbreakdown →
322

About Sujata Garera

Sujata Garera is a scholar working on Signal Processing, Artificial Intelligence and Information Systems, having authored 6 papers that have together received 392 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (3 papers), Internet Traffic Analysis and Secure E-voting (2 papers) and User Authentication and Security Systems (2 papers). The work is most often cited by research in Signal Processing (256 citations), Information Systems (337 citations) and Computer Networks and Communications (153 citations). Sujata Garera has collaborated with scholars based in United States. Frequent co-authors include Aviel D. Rubin, Monica Chew, Niels Provos, Ryan W. Gardner, Matthew Green and Matthew W. Pagano. Their work appears in journals such as IEEE Transactions on Information Forensics and Security and ACM SIGCSE Bulletin.

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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