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.
Countries citing papers authored by J. X. Mitrovica
Since
Specialization
Citations
This map shows the geographic impact of J. X. Mitrovica'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 J. X. Mitrovica with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. X. Mitrovica more than expected).
This network shows the impact of papers produced by J. X. Mitrovica. 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 J. X. Mitrovica. The network helps show where J. X. Mitrovica may publish in the future.
Co-authorship network of co-authors of J. X. Mitrovica
This figure shows the co-authorship network connecting the top 25 collaborators of J. X. Mitrovica.
A scholar is included among the top collaborators of J. X. Mitrovica 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 J. X. Mitrovica. J. X. Mitrovica is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Piecuch, Christopher G., Peter Huybers, Carling C. Hay, et al.. (2018). Origin of spatial variation in United States East Coast sea level trends during 1900-2017. AGUFM. 2018.1 indexed citations
9.
Mitrovica, J. X., et al.. (2018). Complex Earth Structure and Glacial Isostatic Adjustment in the Red Sea. AGUFM. 2018.1 indexed citations
Hay, Carling C., Eric Morrow, Robert E. Kopp, & J. X. Mitrovica. (2015). Probabilistic reanalysis of twentieth-century sea-level rise. Nature. 517(7535). 481–484.411 indexed citations breakdown →
12.
Kopp, Robert E., Radley M. Horton, Christopher M. Little, et al.. (2014). Probabilistic 21st and 22nd century sea‐level projections at a global network of tide‐gauge sites. Earth s Future. 2(8). 383–406.660 indexed citations breakdown →
Moucha, R., A. M. Forte, S. Quéré, J. X. Mitrovica, & David B. Rowley. (2006). Implications of Mantle Convection for Present-day Rates of Global Sea Level Change. AGUFM. 2006.2 indexed citations
15.
Moucha, R., A. M. Forte, J. X. Mitrovica, & A. Daradich. (2005). Geodynamic implications of lateral variations in mantle rheology on convection related observables and inferred viscosity models. AGU Fall Meeting Abstracts. 2005.4 indexed citations
16.
Matsuyama, I., J. X. Mitrovica, J. Taylor Perron, Michael Manga, & Mark A. Richards. (2005). Rotational Stability of Dynamic Planets with Lithospheres. 36th Annual Lunar and Planetary Science Conference. 2230.2 indexed citations
17.
Arbic, Brian K., Douglas R. MacAyeal, J. X. Mitrovica, & Glenn A. Milne. (2004). Ocean tides and Heinrich events. RePEc: Research Papers in Economics.1 indexed citations
18.
Moucha, R., A. M. Forte, J. X. Mitrovica, & A. Daradich. (2004). Geodynamic Implications of Convection-Related Surface Observables: The Role of Lateral Variations in Mantle Rheology. AGU Fall Meeting Abstracts. 2004.1 indexed citations
19.
Clark, P. U., et al.. (2002). The 19-ka Meltwater Pulse. AGU Fall Meeting Abstracts. 2002.1 indexed citations
20.
Shum, C. K., Chung‐Yen Kuo, & J. X. Mitrovica. (2002). Glacial Isostatic Adjustment in the Great Lakes Region Inferred by Tide Gauges and Satellite Altimetry. AGUSM. 2002.5 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.