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.
A map of the large day–night temperature gradient of a super-Earth exoplanet
2016148 citationsBrice-Olivier Demory, M. Gillon et al.Natureprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Tiffany Kataria
Since
Specialization
Citations
This map shows the geographic impact of Tiffany Kataria'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 Tiffany Kataria with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiffany Kataria more than expected).
This network shows the impact of papers produced by Tiffany Kataria. 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 Tiffany Kataria. The network helps show where Tiffany Kataria may publish in the future.
Co-authorship network of co-authors of Tiffany Kataria
This figure shows the co-authorship network connecting the top 25 collaborators of Tiffany Kataria.
A scholar is included among the top collaborators of Tiffany Kataria 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 Tiffany Kataria. Tiffany Kataria is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
May, Erin, Thaddeus D. Komacek, Kevin B. Stevenson, et al.. (2021). . arXiv (Cornell University).35 indexed citations
10.
Spake, Jessica, David K. Sing, Hannah R. Wakeford, et al.. (2020). Abundance measurements of H2O and carbon-bearing species in the atmosphere of WASP-127b confirm its super-solar metallicity. Keele Research Repository (Keele University).26 indexed citations
11.
Désert, Jean-Michel, Kevin B. Stevenson, Jacob Arcangeli, et al.. (2020). Cooking a planet: The heating and cooling of an exoplanet atmosphere. 16194.1 indexed citations
Deming, Drake, Avi M. Mandell, Heather A. Knutson, et al.. (2019). Arizona State University Library Digital Repository (Arizona State University).61 indexed citations
14.
Adams, David M., et al.. (2019). Synthetic Spectra of Potential Exo-Earths: Quantifying Biotic Signatures with AROC. AGUFM. 2019.1 indexed citations
15.
Sing, David K., P. Lavvas, G. E. Ballester, et al.. (2019). Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU).33 indexed citations
16.
Nikolov, Nikolay, T. M. Evans, Jessica Spake, et al.. (2018). Characterizing a new prototype Saturn-mass exoplanet with the clearest atmosphere yet. 14255.1 indexed citations
17.
Wakeford, Hannah R., Natasha Batalha, Mark Clampin, et al.. (2016). Definitive measurement of WASP-17b's water abundance in preparation for JWST. 14918.1 indexed citations
18.
Demory, Brice-Olivier, M. Gillon, Julien de Wit, et al.. (2016). A map of the large day–night temperature gradient of a super-Earth exoplanet. Nature. 532(7598). 207–209.148 indexed citations breakdown →
19.
Spake, Jessica, J. K. Barstow, M. Gillon, et al.. (2016). Characterising the atmosphere of a uniquely low-density, sub-Saturn mass planet. 13150.1 indexed citations
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.