Neha Chachra

656 citations
8 papers · 444 indexed · h-index 6
Topics
Spam and Phishing Detection (7 papers)Advanced Malware Detection Techniques (5 papers)User Authentication and Security Systems (2 papers)
Journals
USENIX Security SymposiumeScholarship (California Digital Library)Lirias (KU Leuven)

In The Last Decade

Neha Chachra

8 papers receiving 412 citations

Peers

Neha Chachra
Comparison fields: 5 of 36
  • Information Systems 379
  • Signal Processing 207
  • Computer Networks and Communications 178
  • Artificial Intelligence 143
  • Sociology and Political Science 90
Replace Andreas Pitsillidis with:
Andreas Pitsillidis United States
Sajjad Arshad United States
Nataliia Bielova France
Mohammad Karami Cyprus
Platon Kotzias Spain
Muhammad Ahmad Bashir United States
Mohammadreza Ebrahimi United States
Thanasis Petsas Greece
Chulyun Kim South Korea
Rocky Slavin United States
Neha Chachra relative to Andreas Pitsillidis United States Andreas Pitsillidis's profile →
Citations per field
00.5×1.6×
Andreas Pitsillidis · 1×
Citations per year

Countries citing papers authored by Neha Chachra

Since Specialization
Citations

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

Fields of papers citing papers by Neha Chachra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Chachra

This figure shows the co-authorship network connecting the top 25 collaborators of Neha Chachra. A scholar is included among the top collaborators of Neha Chachra 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 Neha Chachra. Neha Chachra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 23
2
Understanding URL Abuse for Profit
1
3 20
4 74
5 140
6
No plan survives contact: experience with cybercrime measurement
12
7 173
8 1

About Neha Chachra

Neha Chachra is a scholar working on Signal Processing, Information Systems and Information Systems and Management, having authored 8 papers that have together received 444 indexed citations. Recurring topics across this work include Spam and Phishing Detection (7 papers), Advanced Malware Detection Techniques (5 papers) and User Authentication and Security Systems (2 papers). The work is most often cited by research in Signal Processing (207 citations), Information Systems (379 citations) and Computer Networks and Communications (178 citations). Neha Chachra has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include Vern Paxson, Geoffrey M. Voelker, Stefan Savage, Kirill Levchenko, Chris Grier, Andreas Pitsillidis, Chris Kanich, David McCoy, Christian Kreibich and Márk Félegyházi. Their work appears in journals such as USENIX Security Symposium, eScholarship (California Digital Library) and Lirias (KU Leuven).

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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