David Mohrig

10.6k total citations
161 papers, 7.6k citations indexed

About

David Mohrig is a scholar working on Earth-Surface Processes, Ecology and Atmospheric Science. According to data from OpenAlex, David Mohrig has authored 161 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Earth-Surface Processes, 77 papers in Ecology and 72 papers in Atmospheric Science. Recurrent topics in David Mohrig's work include Geological formations and processes (93 papers), Geology and Paleoclimatology Research (66 papers) and Hydrology and Sediment Transport Processes (59 papers). David Mohrig is often cited by papers focused on Geological formations and processes (93 papers), Geology and Paleoclimatology Research (66 papers) and Hydrology and Sediment Transport Processes (59 papers). David Mohrig collaborates with scholars based in United States, United Kingdom and Norway. David Mohrig's co-authors include Chris Paola, K. M. Straub, D. J. Jerolmack, Gary Parker, John Shaw, Michael P. Lamb, K. X. Whipple, Carlos Pirmez, Jeffrey A. Nittrouer and Gary Kocurek and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

David Mohrig

157 papers receiving 7.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Mohrig United States 50 5.5k 3.8k 3.6k 1.2k 900 161 7.6k
Michael P. Lamb United States 52 3.3k 0.6× 3.7k 1.0× 3.2k 0.9× 1.6k 1.3× 808 0.9× 209 7.7k
Paul D. Komar United States 50 5.4k 1.0× 3.6k 0.9× 2.6k 0.7× 793 0.6× 707 0.8× 148 7.9k
Maarten G. Kleinhans Netherlands 52 4.1k 0.7× 5.4k 1.4× 2.4k 0.6× 2.1k 1.7× 243 0.3× 241 7.9k
D. J. Jerolmack United States 43 2.8k 0.5× 2.7k 0.7× 2.1k 0.6× 1.4k 1.1× 319 0.4× 114 5.4k
J. Taylor Perron United States 35 1.5k 0.3× 1.6k 0.4× 2.6k 0.7× 913 0.7× 1.1k 1.2× 99 5.3k
Charlie S. Bristow United Kingdom 37 2.5k 0.4× 754 0.2× 2.5k 0.7× 495 0.4× 974 1.1× 92 4.8k
Rudy Slingerland United States 40 3.2k 0.6× 2.8k 0.7× 2.6k 0.7× 1.1k 0.9× 1.0k 1.2× 85 5.9k
John Bridge United States 42 4.2k 0.8× 3.5k 0.9× 2.3k 0.6× 1.5k 1.3× 785 0.9× 94 6.3k
Fritz Schlunegger Switzerland 49 2.2k 0.4× 1.4k 0.4× 4.2k 1.1× 927 0.8× 2.6k 2.9× 220 7.1k
Nicholas Lancaster United States 51 5.4k 1.0× 1.1k 0.3× 4.7k 1.3× 2.2k 1.8× 286 0.3× 184 7.2k

Countries citing papers authored by David Mohrig

Since Specialization
Citations

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

Fields of papers citing papers by David Mohrig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Mohrig

This figure shows the co-authorship network connecting the top 25 collaborators of David Mohrig. A scholar is included among the top collaborators of David Mohrig 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 David Mohrig. David Mohrig 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.
Sylvester, Zoltán, et al.. (2025). The impact of reservoir architecture on dynamic connectivity in sinuous deep-water channel systems. Interpretation. 13(3). T607–T628.
2.
Breard, E. C. P., et al.. (2024). Density Stratification and Buoyancy Evolution in Pyroclastic Density Currents. Journal of Geophysical Research Solid Earth. 129(6). 1 indexed citations
3.
Cardenas, Benjamin T., et al.. (2023). Morphodynamic Preservation of Fluvial Channel Belts. 21(1). 6 indexed citations
4.
Passalacqua, Paola, et al.. (2022). Bidirectional River‐Floodplain Connectivity During Combined Pluvial‐Fluvial Events. Water Resources Research. 58(3). 23 indexed citations
5.
Cardenas, Benjamin T., et al.. (2022). Tributary channel networks formed by depositional processes. Nature Geoscience. 15(3). 216–221. 14 indexed citations
6.
Lamb, Michael P., Paul M. Myrow, David Mohrig, et al.. (2021). The Oligocene‐Miocene Guadalope‐Matarranya Fan, Spain, as an Analog for Long‐Lived, Ridge‐Bearing Megafans on Mars. Journal of Geophysical Research Planets. 126(12). 2 indexed citations
7.
8.
Cardenas, Benjamin T., David Mohrig, T. A. Goudge, et al.. (2020). The anatomy of exhumed river‐channel belts: Bedform to belt‐scale river kinematics of the Ruby Ranch Member, Cretaceous Cedar Mountain Formation, Utah, USA. Sedimentology. 67(7). 3655–3682. 34 indexed citations
9.
Kim, W., et al.. (2020). The effect of flood intermittency on bifurcations in fluviodeltaic systems: Experiment and theory. Sedimentology. 67(6). 3055–3066. 7 indexed citations
10.
Cardenas, Benjamin T., Travis Swanson, T. A. Goudge, Wayne Wagner, & David Mohrig. (2019). The Effect of Remote Sensing Resolution Limits on Aeolian Sandstone Measurements and the Reconstruction of Ancient Dune Fields on Mars: Numerical Experiment Using the Page Sandstone, Earth. Journal of Geophysical Research Planets. 124(12). 3244–3256. 1 indexed citations
11.
Ma, Hongbo, Jeffrey A. Nittrouer, Baosheng Wu, et al.. (2019). Universal relation with regime transition for sediment transport in fine-grained rivers. Proceedings of the National Academy of Sciences. 117(1). 171–176. 31 indexed citations
12.
Kerans, Charles, et al.. (2019). Lidar-guided stratigraphic model of Pleistocene strata, San Salvador Island, Bahamas: Implications for Sea-level reconstructions, sedimentologic models, and carbonate platform development. AGU Fall Meeting Abstracts. 2019.
13.
Kocurek, Gary, Rowan C. Martindale, Mackenzie Day, et al.. (2018). Antecedent aeolian dune topographic control on carbonate and evaporite facies: Middle Jurassic Todilto Member, Wanakah Formation, Ghost Ranch, New Mexico, USA. Sedimentology. 66(3). 808–837. 8 indexed citations
14.
Hughes, C. M., Benjamin T. Cardenas, T. A. Goudge, & David Mohrig. (2018). Deltaic deposits indicative of a paleo-coastline at Aeolis Dorsa, Mars. Icarus. 317. 442–453. 27 indexed citations
15.
Hassenruck–Gudipati, Hima J., et al.. (2018). Evolution of Return-Flow Channels Cut Into San Jose Island, Texas, Caused by Hurricane Harvey. AGUFM. 2018. 1 indexed citations
16.
Shields, Michael R., Thomas S. Bianchi, Alexander S. Kolker, et al.. (2018). Factors controlling storage, sources, and diagenetic state of organic carbon in a prograding subaerial delta: Wax Lake Delta, Louisiana. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
17.
Wagner, Wayne, Dimitri Lague, David Mohrig, et al.. (2017). Elevation change and stability on a prograding delta. Geophysical Research Letters. 44(4). 1786–1794. 31 indexed citations
18.
Cardenas, Benjamin T. & David Mohrig. (2014). Evidence for Shoreline-Controlled Changes in Baselevel from Fluvial Deposits at Aeolis Dorsa, Mars. Lunar and Planetary Science Conference. 1632. 2 indexed citations
19.
Mohrig, David, et al.. (2012). Building the coastline: Linking study of the modern and ancient depositional environments to predict the response of Mississippi River delta to environmental change. AGUFM. 2012. 1 indexed citations
20.
McElroy, Brandon & David Mohrig. (2006). The Relation of Variability in Sand Bed Topography to Sediment Transport. AGUSM. 2007. 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.

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