Scott Bachman

1.7k total citations
54 papers, 1.1k citations indexed

About

Scott Bachman is a scholar working on Oceanography, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Scott Bachman has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Oceanography, 44 papers in Global and Planetary Change and 28 papers in Atmospheric Science. Recurrent topics in Scott Bachman's work include Oceanographic and Atmospheric Processes (40 papers), Climate variability and models (37 papers) and Meteorological Phenomena and Simulations (17 papers). Scott Bachman is often cited by papers focused on Oceanographic and Atmospheric Processes (40 papers), Climate variability and models (37 papers) and Meteorological Phenomena and Simulations (17 papers). Scott Bachman collaborates with scholars based in United States, United Kingdom and Australia. Scott Bachman's co-authors include Baylor Fox‐Kemper, Frank O. Bryan, John R. Taylor, Brodie Pearson, John R. Taylor, Leif N. Thomas, Ian Grooms, Phil Hosegood, James R. Maddison and David P. Marshall and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geophysical Research Letters and Science Advances.

In The Last Decade

Scott Bachman

48 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott Bachman United States 20 931 736 550 74 38 54 1.1k
Luke Van Roekel United States 14 769 0.8× 461 0.6× 601 1.1× 37 0.5× 110 2.9× 47 1.0k
Jeffrey J. Early United States 7 806 0.9× 413 0.6× 318 0.6× 16 0.2× 32 0.8× 16 944
Lia Siegelman United States 15 542 0.6× 324 0.4× 337 0.6× 43 0.6× 13 0.3× 24 690
Daniel Hernández‐Deckers Colombia 9 229 0.2× 392 0.5× 335 0.6× 39 0.5× 24 0.6× 18 503
Aurélien Ponte France 16 794 0.9× 335 0.5× 343 0.6× 14 0.2× 58 1.5× 35 866
Pablo Zurita‐Gotor Spain 17 375 0.4× 1.1k 1.5× 1.1k 1.9× 55 0.7× 9 0.2× 48 1.2k
William Bourke Australia 12 217 0.2× 553 0.8× 634 1.2× 50 0.7× 21 0.6× 26 781
Manfred Wenzel Germany 12 542 0.6× 406 0.6× 232 0.4× 10 0.1× 30 0.8× 35 702
Richard M. Hodur United States 13 805 0.9× 788 1.1× 1.1k 2.1× 42 0.6× 82 2.2× 29 1.4k
J. S. A. Green United Kingdom 12 438 0.5× 754 1.0× 749 1.4× 135 1.8× 26 0.7× 19 1.1k

Countries citing papers authored by Scott Bachman

Since Specialization
Citations

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

Fields of papers citing papers by Scott Bachman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Bachman

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Bachman. A scholar is included among the top collaborators of Scott Bachman 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 Scott Bachman. Scott Bachman 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.
Zhou, Mengyang, Michael D. Tyka, Scott Bachman, et al.. (2025). Impulse response functions as a framework for quantifying ocean-based carbon dioxide removal. Biogeosciences. 22(20). 5723–5739.
2.
Gleason, Arthur C. R., et al.. (2024). Remotely sensed spectral variability predicts reef fish diversity. Ecological Indicators. 169. 112823–112823.
3.
Bachman, Scott, et al.. (2024). Vertical Structure and Energetic Constraints for a Backscatter Parameterization of Ocean Mesoscale Eddies. Journal of Advances in Modeling Earth Systems. 16(7). 6 indexed citations
4.
Western, Luke M., Scott Bachman, S. A. Montzka, & Matthew Rigby. (2024). MALTA: A Zonally Averaged Global Atmospheric Transport Model for Long‐Lived Trace Gases. Journal of Advances in Modeling Earth Systems. 16(5).
5.
Zhou, Mengyang, Michael D. Tyka, David T. Ho, et al.. (2024). Mapping the global variation in the efficiency of ocean alkalinity enhancement for carbon dioxide removal. Nature Climate Change. 15(1). 59–65. 17 indexed citations
6.
Coupe, Joshua, Cheryl S. Harrison, Alan Robock, et al.. (2023). Sudden Reduction of Antarctic Sea Ice Despite Cooling After Nuclear War. Journal of Geophysical Research Oceans. 128(1). 3 indexed citations
7.
Adcroft, Alistair, Scott Bachman, Stephen M. Griffies, et al.. (2023). Comparing Two Parameterizations for the Restratification Effect of Mesoscale Eddies in an Isopycnal Ocean Model. Journal of Advances in Modeling Earth Systems. 15(12). 4 indexed citations
8.
9.
Bachman, Scott, et al.. (2022). Diagnosing Scale-Dependent Energy Cycles in a High-Resolution Isopycnal Ocean Model. Journal of Physical Oceanography. 53(1). 157–176. 14 indexed citations
10.
Abernathey, Ryan, Ian Grooms, Julius Busecke, et al.. (2022). GCM-Filters: A Python Package for Diffusion-based Spatial Filtering of Gridded Data. The Journal of Open Source Software. 7(70). 3947–3947. 18 indexed citations
11.
Harrison, Cheryl S., Tyler Rohr, Alice K. DuVivier, et al.. (2022). A New Ocean State After Nuclear War. SHILAP Revista de lepidopterología. 3(4). 13 indexed citations
12.
Ellis, Matthew J., et al.. (2022). Using Machine Learning at scale in numerical simulations with SmartSim: An application to ocean climate modeling. Journal of Computational Science. 62. 101707–101707. 40 indexed citations
13.
Reed, Kevin A., et al.. (2021). Coupled Aqua and Ridge Planets in the Community Earth System Model. Journal of Advances in Modeling Earth Systems. 13(4). 4 indexed citations
14.
Reed, Kevin A., et al.. (2021). The Dependence of Tropical Modes of Variability on Zonal Asymmetry. Geophysical Research Letters. 48(17). 3 indexed citations
15.
Grooms, Ian, et al.. (2021). Diffusion‐Based Smoothers for Spatial Filtering of Gridded Geophysical Data. Journal of Advances in Modeling Earth Systems. 13(9). 33 indexed citations
16.
Shakespeare, Callum J., et al.. (2021). A New Open Source Implementation of Lagrangian Filtering: A Method to Identify Internal Waves in High‐Resolution Simulations. Journal of Advances in Modeling Earth Systems. 13(10). 20 indexed citations
17.
Zanna, Laure, et al.. (2018). Energizing Turbulence Closures in Ocean Models. AGUFM. 2018. 3 indexed citations
18.
Bachman, Scott, et al.. (2017). Mesoscale and Submesoscale Effects on Mixed Layer Depth in the Southern Ocean. Journal of Physical Oceanography. 47(9). 2173–2188. 45 indexed citations
19.
Fox‐Kemper, Baylor, et al.. (2014). Anisotropic Mesoscale Eddy Transport in Ocean General Circulation Models. AGU Fall Meeting Abstracts. 2014. 1 indexed citations
20.
Bachman, Scott. (2012). A Diagnostic Suite of Models for the Evaluation of Oceanic Mesoscale Eddy Parameterizations. CU Scholar (University of Colorado Boulder). 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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