Andreas Baas

3.3k total citations
46 papers, 2.2k citations indexed

About

Andreas Baas is a scholar working on Earth-Surface Processes, Soil Science and Atmospheric Science. According to data from OpenAlex, Andreas Baas has authored 46 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Earth-Surface Processes, 26 papers in Soil Science and 24 papers in Atmospheric Science. Recurrent topics in Andreas Baas's work include Aeolian processes and effects (41 papers), Soil erosion and sediment transport (26 papers) and Geology and Paleoclimatology Research (23 papers). Andreas Baas is often cited by papers focused on Aeolian processes and effects (41 papers), Soil erosion and sediment transport (26 papers) and Geology and Paleoclimatology Research (23 papers). Andreas Baas collaborates with scholars based in United Kingdom, United States and Ireland. Andreas Baas's co-authors include Joanna M. Nield, Douglas J. Sherman, Derek Jackson, Kevin Lynch, Irene Delgado‐Fernández, Andrew Cooper, Johannes Steiger, Angela M. Gurnell, Dov Corenblit and Frédéric Julien and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Environmental Science & Technology and Remote Sensing of Environment.

In The Last Decade

Andreas Baas

44 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andreas Baas United Kingdom	23	1.6k	1.0k	873	759	275	46	2.2k
Orencio Durán United States	30	2.0k 1.2×	893 0.9×	1.0k 1.2×	921 1.2×	139 0.5×	60	2.5k
S A Wolfe Canada	33	1.4k 0.9×	764 0.7×	2.2k 2.5×	483 0.6×	428 1.6×	91	3.0k
Bernard O. Bauer Canada	31	2.5k 1.6×	1.1k 1.1×	752 0.9×	1.2k 1.6×	239 0.9×	74	2.9k
Jeff Ollerhead Canada	30	1.9k 1.2×	722 0.7×	815 0.9×	996 1.3×	169 0.6×	52	2.3k
Brandon McElroy United States	23	921 0.6×	476 0.5×	791 0.9×	1.0k 1.3×	223 0.8×	60	2.0k
J.H. van Boxel Netherlands	20	891 0.6×	613 0.6×	491 0.6×	423 0.6×	333 1.2×	56	1.4k
L. A. Scuderi United States	23	1.1k 0.7×	251 0.2×	1.6k 1.8×	669 0.9×	421 1.5×	68	2.4k
N. M. Gasparini United States	23	729 0.5×	539 0.5×	854 1.0×	817 1.1×	249 0.9×	58	2.0k
Edward J. Hickin Canada	25	1000 0.6×	1.4k 1.4×	495 0.6×	2.1k 2.8×	463 1.7×	41	2.6k
Jan H. van den Berg Netherlands	23	1.2k 0.8×	508 0.5×	644 0.7×	1.2k 1.6×	149 0.5×	39	2.0k

Countries citing papers authored by Andreas Baas

Since Specialization

Citations

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

Fields of papers citing papers by Andreas Baas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Baas

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Moffat, David, et al.. (2025). Segmenting and characterising ripple patterns on sand dunes using machine learning and 2D semi-variogram. Remote Sensing of Environment. 331. 115031–115031.

Miri, Abbas, et al.. (2025). Spatial and temporal variability of dust flux in Sistan and its response to climate and vegetation controls. CATENA. 253. 108880–108880. 2 indexed citations

Baas, Andreas, et al.. (2025). Homogeneity of Sand-Sized Microplastics Concentration and Polymer Assemblage in Beach and Coastal Dune Sediments. Environmental Science & Technology. 59(44). 24012–24022.

Schillereff, Daniel, et al.. (2024). PyShoreVolume 1.0.0: A Python based Shoreline Change and beach Volumetric Change Analysis tool. Computers & Geosciences. 187. 105591–105591. 1 indexed citations

Sherman, Douglas J., et al.. (2024). Morphology of Barchan Dunes on Earth and Mars: Classification and Scale‐Invariance. Journal of Geophysical Research Planets. 129(10). 2 indexed citations

Pont, Sylvain Courrech du, David M. Rubin, C. Narteau, et al.. (2024). Complementary classifications of aeolian dunes based on morphology, dynamics, and fluid mechanics. Earth-Science Reviews. 255. 104772–104772. 20 indexed citations

Baas, Andreas, et al.. (2024). Barchan swarm dynamics from a Two-Flank Agent-Based Model. Earth Surface Dynamics. 12(5). 1205–1226. 1 indexed citations

Baas, Andreas, et al.. (2024). Size‐dependent asymmetry of barchans indicates dune growth controlled by basal area or bulk volume. Earth Surface Processes and Landforms. 49(10). 3063–3072. 2 indexed citations

Baas, Andreas, et al.. (2023). A Simple Agent‐Based Model That Reproduces All Types of Barchan Interactions. Geophysical Research Letters. 50(19). 8 indexed citations

10.

Lehmkuhl, Frank, et al.. (2023). Dune movement under climatic changes on the north‐eastern Tibetan Plateau as recorded by long‐term satellite observation versus ERA‐5 reanalysis. Earth Surface Processes and Landforms. 48(13). 2613–2629. 7 indexed citations

11.

Baas, Andreas, et al.. (2020). Internal sedimentary structure of linear dunes modelled with a cellular automaton. Sedimentology. 67(7). 3718–3734. 3 indexed citations

12.

Baas, Andreas, Derek Jackson, Irene Delgado‐Fernández, Kevin Lynch, & Andrew Cooper. (2020). Using wind run to predict sand drift. Earth Surface Processes and Landforms. 45(8). 1817–1827. 3 indexed citations

13.

Corenblit, Dov, Andreas Baas, Thorsten Balke, et al.. (2015). Engineer pioneer plants respond to and affect geomorphic constraints similarly along water–terrestrial interfaces world‐wide. Global Ecology and Biogeography. 24(12). 1363–1376. 117 indexed citations

14.

Baas, Andreas, et al.. (2014). Parabolic dunes and their transformations under environmental and climatic changes: Towards a conceptual framework for understanding and prediction. Global and Planetary Change. 124. 123–148. 47 indexed citations

15.

Lynch, Kevin, et al.. (2012). Alongshore variation of aeolian sediment transport on a beach, under offshore winds. Aeolian Research. 8. 11–18. 26 indexed citations

16.

Delgado‐Fernández, Irene, et al.. (2011). Re-attachment zone characterisation under offshore winds blowing over complex foredune topography. Journal of Coastal Research. 273–277. 16 indexed citations

17.

Corenblit, Dov, Andreas Baas, Gudrun Bornette, et al.. (2011). Feedbacks between geomorphology and biota controlling Earth surface processes and landforms: A review of foundation concepts and current understandings. Earth-Science Reviews. 106(3-4). 307–331. 314 indexed citations

18.

Nield, Joanna M., et al.. (2011). Modelling controls on aeolian dune‐field pattern evolution. Sedimentology. 58(6). 1391–1406. 45 indexed citations

19.

Murray, A. Brad, Eli D. Lazarus, Andrew D. Ashton, et al.. (2008). Geomorphology, complexity, and the emerging science of the Earth's surface. Geomorphology. 103(3). 496–505. 107 indexed citations

20.

Baas, Andreas. (2002). Chaos, fractals and self-organization in coastal geomorphology: simulating dune landscapes in vegetated environments. Geomorphology. 48(1-3). 309–328. 144 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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