Neha Chachra

4 papers and 132 indexed citations i.

About

Neha Chachra is a scholar working on Information Systems, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Neha Chachra has authored 4 papers receiving a total of 132 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 3 papers in Signal Processing and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Neha Chachra’s work include Spam and Phishing Detection (3 papers), Advanced Malware Detection Techniques (3 papers) and User Authentication and Security Systems (2 papers). Neha Chachra is often cited by papers focused on Spam and Phishing Detection (3 papers), Advanced Malware Detection Techniques (3 papers) and User Authentication and Security Systems (2 papers). Neha Chachra collaborates with scholars based in United States, Hungary and Singapore. Neha Chachra's co-authors include Vern Paxson, Giovanni Vigna, Alexandros Kapravelos, Christopher Kruegel, Chris Grier, Geoffrey M. Voelker, Brian Enright, Nicholas Weaver, He Liu and Andreas Pitsillidis and has published in prestigious journals such as IEEE Symposium on Security and Privacy, USENIX Security Symposium and IEEE ... International Conference on Data Mining workshops.

In The Last Decade

Co-authorship network of co-authors of Neha Chachra i

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.

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).

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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2025