Anukool Lakhina

About

Anukool Lakhina is a scholar working on Computer Networks and Communications, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Anukool Lakhina has authored 10 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 5 papers in Artificial Intelligence and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Anukool Lakhina’s work include Network Traffic and Congestion Control (7 papers), Internet Traffic Analysis and Secure E-voting (4 papers) and Network Security and Intrusion Detection (4 papers). Anukool Lakhina is often cited by papers focused on Network Traffic and Congestion Control (7 papers), Internet Traffic Analysis and Secure E-voting (4 papers) and Network Security and Intrusion Detection (4 papers). Anukool Lakhina collaborates with scholars based in United States, United Kingdom and France. Anukool Lakhina's co-authors include Mark Crovella, John W. Byers, Christophe Diot, Ibrahim Matta, A. M. Gago, Peng Xie, Mark Coates, Tarem Ahmed, Konstantina Papagiannaki and Nina Taft and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, ACM SIGCOMM Computer Communication Review and ACM SIGMETRICS Performance Evaluation Review.

In The Last Decade

Co-authorship network of co-authors of Anukool Lakhina i

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Fields of papers citing papers by Anukool Lakhina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Anukool Lakhina

Since Specialization

Citations

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