Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
The classical-quantum boundary for correlations: Discord and related measures
20121.1k citationsKavan Modi, Aharon Brodutch et al.profile →
Unified View of Quantum and Classical Correlations
2010594 citationsKavan Modi, Tomasz Paterek et al.profile →
Enhancing the Charging Power of Quantum Batteries
2017316 citationsFrancesco Campaioli, Felix A. Pollock et al.profile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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This map shows the geographic impact of Kavan Modi'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 Kavan Modi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kavan Modi more than expected).
This network shows the impact of papers produced by Kavan Modi. 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 Kavan Modi. The network helps show where Kavan Modi may publish in the future.
Co-authorship network of co-authors of Kavan Modi
This figure shows the co-authorship network connecting the top 25 collaborators of Kavan Modi.
A scholar is included among the top collaborators of Kavan Modi 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 Kavan Modi. Kavan Modi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Campaioli, Francesco, Felix A. Pollock, & Kavan Modi. (2018). Tightening the Quantum Speed Limit for Almost All Processes. arXiv (Cornell University).1 indexed citations
Binder, Felix C., Sai Vinjanampathy, Kavan Modi, John Goold, & Abdus Salam. (2014). Operational thermodynamics of open quantum systems. arXiv (Cornell University).1 indexed citations
13.
Piani, Marco, Daniel Cavalcanti, Leandro Aolita, et al.. (2011). Operational interpretations of quantum discord. Bulletin of the American Physical Society. 2011.
14.
Modi, Kavan, Aharon Brodutch, Hugo Cable, Tomasz Paterek, & Vlatko Vedral. (2011). Quantum discord and other measures of quantum correlation. arXiv (Cornell University).11 indexed citations
15.
Modi, Kavan, Mark S. Williamson, Hugo Cable, & Vlatko Vedral. (2010). The role of entanglement, quantum discord, and classical correlations in mixed-state metrology. arXiv (Cornell University).2 indexed citations
16.
Modi, Kavan. (2010). Non-Markovian memory in quantum process tomography and a preparation independent map. arXiv (Cornell University).1 indexed citations
17.
Modi, Kavan, Mark S. Williamson, Hugo Cable, & Vlatko Vedral. (2010). Entanglement versus classical correlations in quantum metrology with thermal states. arXiv (Cornell University).4 indexed citations
18.
Modi, Kavan, Tomasz Paterek, Wonmin Son, Vlatko Vedral, & Mark S. Williamson. (2009). Relative entropy of quantum and classical correlations. arXiv (Cornell University).1 indexed citations
19.
Modi, Kavan, et al.. (2007). Quantum Process Tomography. Bulletin of the American Physical Society. 38.2 indexed citations
20.
Modi, Kavan & Anil Shaji. (2005). Quantum Zeno and Anti-Zeno effects in an Unstable Two Discrete Level System. arXiv (Cornell University).
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.