T. Markus

11.4k total citations · 3 hit papers
122 papers, 6.2k citations indexed

About

T. Markus is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, T. Markus has authored 122 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Atmospheric Science, 23 papers in Global and Planetary Change and 10 papers in Oceanography. Recurrent topics in T. Markus's work include Cryospheric studies and observations (98 papers), Arctic and Antarctic ice dynamics (96 papers) and Climate change and permafrost (76 papers). T. Markus is often cited by papers focused on Cryospheric studies and observations (98 papers), Arctic and Antarctic ice dynamics (96 papers) and Climate change and permafrost (76 papers). T. Markus collaborates with scholars based in United States, Australia and Germany. T. Markus's co-authors include Julienne Strœve, D. J. Cavalieri, Linette Boisvert, Jeffrey Miller, T. Neumann, J. Miller, A. P. Barrett, R. Kwok, Josefino C. Comiso and Donald J. Cavalieri and has published in prestigious journals such as Science, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.

In The Last Decade

T. Markus

114 papers receiving 6.0k citations

Hit Papers

Changes in Arctic melt season and implications for sea ic... 2009 2026 2014 2020 2014 2009 2020 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
T. Markus United States 44 5.5k 1.2k 714 648 510 122 6.2k
Georg Heygster Germany 32 4.0k 0.7× 1.3k 1.1× 762 1.1× 379 0.6× 393 0.8× 127 4.7k
Donald K. Perovich United States 63 11.9k 2.2× 3.2k 2.7× 1.9k 2.7× 273 0.4× 765 1.5× 243 13.0k
Duncan J. Wingham United Kingdom 34 5.2k 1.0× 731 0.6× 1.0k 1.5× 184 0.3× 398 0.8× 84 5.9k
S. L. Farrell United States 29 2.6k 0.5× 474 0.4× 346 0.5× 263 0.4× 145 0.3× 59 3.0k
W. Abdalati United States 36 5.2k 1.0× 955 0.8× 600 0.8× 756 1.2× 412 0.8× 77 6.3k
Stephen F. Ackley United States 35 3.9k 0.7× 853 0.7× 1.5k 2.1× 146 0.2× 653 1.3× 128 4.8k
Hubert Gallée France 40 4.8k 0.9× 2.4k 2.0× 360 0.5× 172 0.3× 394 0.8× 120 5.2k
Frédérique Rémy France 33 2.8k 0.5× 437 0.4× 811 1.1× 240 0.4× 244 0.5× 130 3.5k
D. J. Cavalieri United States 29 5.2k 1.0× 1.5k 1.3× 1.0k 1.4× 182 0.3× 329 0.6× 60 5.6k
Mark R. Drinkwater United States 34 3.9k 0.7× 659 0.5× 1.0k 1.4× 1.9k 2.9× 180 0.4× 126 4.9k

Countries citing papers authored by T. Markus

Since Specialization
Citations

This map shows the geographic impact of T. Markus'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 T. Markus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Markus more than expected).

Fields of papers citing papers by T. Markus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Markus

This figure shows the co-authorship network connecting the top 25 collaborators of T. Markus. A scholar is included among the top collaborators of T. Markus 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 T. Markus. T. Markus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Petty, Alek, N. T. Kurtz, R. Kwok, T. Markus, & T. Neumann. (2020). Winter Arctic Sea Ice Thickness From ICESat‐2 Freeboards. Journal of Geophysical Research Oceans. 125(5). 71 indexed citations
2.
Magruder, Lori A., T. Neumann, N. T. Kurtz, & T. Markus. (2020). NASA ICESat-2 Mission Status and Highlights. 1 indexed citations
3.
Kwok, R., Sahra Kacimi, T. Markus, et al.. (2019). ICESat‐2 Surface Height and Sea Ice Freeboard Assessed With ATM Lidar Acquisitions From Operation IceBridge. Geophysical Research Letters. 46(20). 11228–11236. 52 indexed citations
4.
Crawford, Christopher J., Jeannette van den Bosch, Kelly M. Brunt, et al.. (2019). Radiometric calibration of a non-imaging airborne spectrometer to measure the Greenland ice sheet surface. Atmospheric measurement techniques. 12(3). 1913–1933. 2 indexed citations
5.
Sutterley, Tyler, T. Markus, T. Neumann, et al.. (2019). Antarctic ice shelf thickness change from multimission lidar mapping. ˜The œcryosphere. 13(7). 1801–1817. 12 indexed citations
6.
Kwok, R., T. Markus, N. T. Kurtz, et al.. (2019). Surface Height and Sea Ice Freeboard of the Arctic Ocean From ICESat‐2: Characteristics and Early Results. Journal of Geophysical Research Oceans. 124(10). 6942–6959. 71 indexed citations
7.
Comiso, J. C., Walter N. Meier, & T. Markus. (2018). Annomalies and Trends in the Sea Ice Cover from 40 years of Passive Microwave Data. AGU Fall Meeting Abstracts. 2018. 2 indexed citations
8.
Sutterley, Tyler, T. Markus, T. Neumann, et al.. (2018). Antarctic Ice Shelf Thickness Change from Multi-Mission LidarMapping. Biogeosciences (European Geosciences Union). 1 indexed citations
9.
Kurtz, N. T., et al.. (2017). Estimating Surface Elevation Bias Due to Subsurface Scattered Photons from Visible Wavelength Laser Altimeters. AGUFM. 2017. 3 indexed citations
10.
Brunt, Kelly M., T. Neumann, J. M. Amundson, et al.. (2016). MABEL photon-counting laser altimetry data in Alaska for ICESat-2simulations and development. ˜The œcryosphere. 10(4). 1707–1719. 32 indexed citations
11.
Brunt, Kelly M., T. Neumann, J. M. Amundson, et al.. (2016). MABEL photon-counting laser altimetry data in Alaska for ICESat-2 simulations and development. 4 indexed citations
12.
Neumann, T., T. Markus, Kelly M. Brunt, et al.. (2012). Airborne ICESat-2 simulator (MABEL) results from Greenland. AGUFM. 2012. 1 indexed citations
13.
Wolken, G. J., Martin Sharp, Chris Derksen, et al.. (2011). Integrated Pan-Arctic Melt Onset Detection From Satellite Active/Passive Microwave Measurements, 2000-2009. AGU Fall Meeting Abstracts. 2011. 3 indexed citations
14.
Brunt, Kelly M., T. Neumann, T. Markus, et al.. (2011). MABEL photon-counting altimetry data for ICESat-2 simulations. AGU Fall Meeting Abstracts. 2011. 2 indexed citations
15.
Markus, T., Julienne Strœve, & Jeffrey Miller. (2009). Recent changes in Arctic sea ice melt onset, freezeup, and melt season length. Journal of Geophysical Research Atmospheres. 114(C12). 529 indexed citations breakdown →
16.
Markus, T. & Donald J. Cavalieri. (2009). The AMSR-E NT2 sea ice concentration algorithm: Its basis and implementation. National Remote Sensing Bulletin. 29(1). 216–225. 56 indexed citations
17.
Massom, Robert A., A. P. Worby, Victoria I. Lytle, et al.. (2007). Early Springtime Snowcover on East Antarctic Sea Ice, ARISE 2003: Variability and Satellite Validation.. AGU Fall Meeting Abstracts. 2007. 1 indexed citations
18.
Cavalieri, D. J., T. Markus, Albin J. Gasiewski, et al.. (2004). EOS Aqua AMSR-E Arctic Sea Ice Validation Program. UCL Discovery (University College London). 1 indexed citations
19.
Nghiem, S. V., David G. Barber, G. Robert Brakenridge, et al.. (2003). Surface Water Applications of Satellite Scatterometry. AGU Fall Meeting Abstracts. 2003. 1 indexed citations
20.
Markus, T. & Barbara A. Burns. (1993). Detection of coastal polynyas with passive microwave data. Annals of Glaciology. 17. 351–355. 3 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.

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