Daniel M. Tetzlaff

463 total citations
14 papers, 288 citations indexed

About

Daniel M. Tetzlaff is a scholar working on Earth-Surface Processes, Environmental Engineering and Ocean Engineering. According to data from OpenAlex, Daniel M. Tetzlaff has authored 14 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Earth-Surface Processes, 4 papers in Environmental Engineering and 3 papers in Ocean Engineering. Recurrent topics in Daniel M. Tetzlaff's work include Geological formations and processes (5 papers), Reservoir Engineering and Simulation Methods (3 papers) and Geology and Paleoclimatology Research (2 papers). Daniel M. Tetzlaff is often cited by papers focused on Geological formations and processes (5 papers), Reservoir Engineering and Simulation Methods (3 papers) and Geology and Paleoclimatology Research (2 papers). Daniel M. Tetzlaff collaborates with scholars based in United States, United Kingdom and British Virgin Islands. Daniel M. Tetzlaff's co-authors include John W. Harbaugh, Andrew Curtis, Jon Hill, Rachel Wood, William W. Hay, Jan Harff, Piotr Mirowski, C. Signer, David S. McCormick and David M. Hodgson and has published in prestigious journals such as Scientific Reports, Geological Society London Special Publications and Pattern Recognition Letters.

In The Last Decade

Daniel M. Tetzlaff

13 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel M. Tetzlaff United States 7 141 108 61 58 55 14 288
Jesse T. Korus United States 11 134 1.0× 129 1.2× 79 1.3× 63 1.1× 44 0.8× 36 311
Cedric M. Griffiths Australia 11 193 1.4× 99 0.9× 25 0.4× 32 0.6× 60 1.1× 48 330
Jan Stafleu Netherlands 13 168 1.2× 91 0.8× 48 0.8× 51 0.9× 65 1.2× 30 458
K. Ambrose United Kingdom 9 82 0.6× 112 1.0× 62 1.0× 16 0.3× 56 1.0× 23 362
Òscar Gratacós Spain 11 159 1.1× 108 1.0× 102 1.7× 20 0.3× 41 0.7× 28 419
D.K. Cotterill Australia 11 224 1.6× 129 1.2× 26 0.4× 48 0.8× 52 0.9× 27 444
Gordon S. Fraser United States 10 226 1.6× 176 1.6× 37 0.6× 74 1.3× 14 0.3× 21 316
M. Tomasso United States 11 329 2.3× 186 1.7× 43 0.7× 62 1.1× 48 0.9× 12 494
Rou-Fei Chen Taiwan 14 70 0.5× 186 1.7× 66 1.1× 51 0.9× 21 0.4× 24 457
Norberto Morales Brazil 9 104 0.7× 45 0.4× 64 1.0× 27 0.5× 17 0.3× 28 280

Countries citing papers authored by Daniel M. Tetzlaff

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Tetzlaff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel M. Tetzlaff. 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 Daniel M. Tetzlaff. The network helps show where Daniel M. Tetzlaff may publish in the future.

Co-authorship network of co-authors of Daniel M. Tetzlaff

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

All Works

14 of 14 papers shown
1.
Curtis, Andrew, et al.. (2025). Natural sampling and aliasing of marine geochemical signals. Scientific Reports. 15(1). 760–760.
2.
Curtis, Andrew, et al.. (2023). Introducing conceptual geological information into Bayesian tomographic imaging. Basin Research. 36(1). 10 indexed citations
4.
Hill, Jon, Rachel Wood, Andrew Curtis, & Daniel M. Tetzlaff. (2012). Preservation of forcing signals in shallow water carbonate sediments. Sedimentary Geology. 275-276. 79–92. 26 indexed citations
5.
Hill, Jon, Daniel M. Tetzlaff, Andrew Curtis, & Rachel Wood. (2009). Modeling shallow marine carbonate depositional systems. Computers & Geosciences. 35(9). 1862–1874. 26 indexed citations
6.
Mirowski, Piotr & Daniel M. Tetzlaff. (2008). Retrieving scale from quasi-stationary images. Pattern Recognition Letters. 29(6). 754–767. 2 indexed citations
7.
Mirowski, Piotr, et al.. (2008). Stationarity Scores on Training Images for Multipoint Geostatistics. Mathematical Geosciences. 41(4). 447–474. 25 indexed citations
8.
Harff, Jan, William W. Hay, & Daniel M. Tetzlaff. (2007). Coastline Changes: Interrelation of Climate and Geological Processes. Geological Society of America eBooks. 32 indexed citations
9.
Tetzlaff, Daniel M.. (2005). Modelling Coastal Sedimentation through Geologic Time. Journal of Coastal Research. 213. 610–617. 6 indexed citations
11.
Curtis, Andrew, Rachel Wood, Daniel M. Tetzlaff, Qing Cheng, & Graeme Bonham-Carter. (2005). Complexity in carbonate systems. 1141–1146. 2 indexed citations
12.
Tetzlaff, Daniel M.. (2004). Input uncertainty and conditioning in siliciclastic process modelling. Geological Society London Special Publications. 239(1). 95–109. 7 indexed citations
13.
Tetzlaff, Daniel M.. (1991). The Combined Use of Sedimentary Process Modeling and Statistical Simulation in Reservoir Characterization. SPE Annual Technical Conference and Exhibition. 3 indexed citations
14.
Tetzlaff, Daniel M. & John W. Harbaugh. (1989). Simulating Clastic Sedimentation. 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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