S. D. Peckham

4.4k total citations · 1 hit paper
60 papers, 2.9k citations indexed

About

S. D. Peckham is a scholar working on Global and Planetary Change, Information Systems and Management and Computer Networks and Communications. According to data from OpenAlex, S. D. Peckham has authored 60 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Global and Planetary Change, 13 papers in Information Systems and Management and 11 papers in Computer Networks and Communications. Recurrent topics in S. D. Peckham's work include Scientific Computing and Data Management (13 papers), Hydrology and Watershed Management Studies (9 papers) and Distributed and Parallel Computing Systems (8 papers). S. D. Peckham is often cited by papers focused on Scientific Computing and Data Management (13 papers), Hydrology and Watershed Management Studies (9 papers) and Distributed and Parallel Computing Systems (8 papers). S. D. Peckham collaborates with scholars based in United States, United Kingdom and Australia. S. D. Peckham's co-authors include James P. M. Syvitski, Stith T. Gower, David B. Bahr, Ben Bond‐Lamberty, Mark F. Meier, Douglas E. Ahl, Eric Hutton, Thierry Mulder, Boyana Norris and Jonathan L. Goodall and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

S. D. Peckham

59 papers receiving 2.8k citations

Hit Papers

Integrated environmental modeling: A vision and roadmap f... 2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. D. Peckham United States 22 1.1k 889 744 705 370 60 2.9k
Matthew Larsen United States 25 885 0.8× 1.2k 1.4× 330 0.4× 610 0.9× 496 1.3× 88 3.3k
Barbara Robson Australia 27 1.2k 1.1× 247 0.3× 971 1.3× 1.0k 1.5× 150 0.4× 91 3.3k
Leo Lymburner Australia 23 1.4k 1.3× 559 0.6× 414 0.6× 1.8k 2.5× 159 0.4× 56 3.1k
Sim Reaney United Kingdom 22 756 0.7× 148 0.2× 1.4k 1.9× 749 1.1× 733 2.0× 44 2.4k
Cheng‐Zhi Qin China 32 1.0k 1.0× 500 0.6× 637 0.9× 794 1.1× 669 1.8× 125 3.3k
Venkatesh Merwade United States 34 3.3k 3.1× 1.1k 1.2× 3.0k 4.1× 802 1.1× 356 1.0× 131 4.6k
Timothy R. Green United States 36 1.1k 1.1× 499 0.6× 1.6k 2.1× 415 0.6× 1.3k 3.6× 142 5.1k
Min Feng China 28 2.1k 2.0× 808 0.9× 477 0.6× 1.7k 2.3× 140 0.4× 95 3.6k
Berit Arheimer Sweden 43 2.5k 2.4× 882 1.0× 3.8k 5.1× 1.1k 1.5× 433 1.2× 128 5.8k

Countries citing papers authored by S. D. Peckham

Since Specialization
Citations

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

Fields of papers citing papers by S. D. Peckham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. D. Peckham. 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 S. D. Peckham. The network helps show where S. D. Peckham may publish in the future.

Co-authorship network of co-authors of S. D. Peckham

This figure shows the co-authorship network connecting the top 25 collaborators of S. D. Peckham. A scholar is included among the top collaborators of S. D. Peckham 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 S. D. Peckham. S. D. Peckham 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.
Sarker, Shiblu, Arvind Singh, Alexander Veremyev, Vladimir Boginski, & S. D. Peckham. (2025). Controllability and heterogeneity of river networks using spectral graph theory approach. Scientific Reports. 15(1). 13196–13196. 1 indexed citations
2.
Tucker, Gregory E., Eric Hutton, Mark Piper, et al.. (2022). CSDMS: a community platform for numerical modeling of Earth surface processes. Geoscientific model development. 15(4). 1413–1439. 16 indexed citations
3.
Tucker, Gregory E., Eric Hutton, Mark Piper, et al.. (2021). CSDMS: A community platform for numerical modeling of Earth-surface processes. 5 indexed citations
4.
Peckham, S. D., Edward C. Waymire, & Patrick De Leenheer. (2018). Critical thresholds for eventual extinction in randomly disturbed population growth models. Journal of Mathematical Biology. 77(2). 495–525. 9 indexed citations
5.
Peckham, S. D., et al.. (2018). An Ontology Blueprint for Constructing Qualitative and Quantitative Scientific Variables.. 4 indexed citations
6.
Jiang, Peishi, et al.. (2017). A service-oriented architecture for coupling web service models using the Basic Model Interface (BMI). Environmental Modelling & Software. 92. 107–118. 31 indexed citations
7.
Peckham, S. D., Anna Kelbert, Mary C. Hill, & Eric Hutton. (2016). Towards uncertainty quantification and parameter estimation for Earth system models in a component-based modeling framework. Computers & Geosciences. 90. 152–161. 6 indexed citations
8.
Peckham, S. D., et al.. (2014). EarthCube - Earth System Bridge: Spanning Scientific Communities with Interoperable Modeling Frameworks. AGUFM. 2014. 3 indexed citations
9.
Wolter, Peter T., et al.. (2014). Satellite-Based Management Tool for Oak Savanna Ecosystem Restoration. Journal of Fish and Wildlife Management. 5(2). 252–269. 2 indexed citations
10.
Peckham, S. D., et al.. (2013). Ingestion of fat tissue from wolf prey species and its influence on fatty‐acid composition in sled dogs. SHILAP Revista de lepidopterología. 38(1). 51–59. 1 indexed citations
11.
Peckham, S. D. & Stith T. Gower. (2012). Simulating the effects of harvest and biofuel production on the forest system carbon balance of the Midwest, USA. GCB Bioenergy. 5(4). 431–444. 7 indexed citations
12.
Peckham, S. D., Stith T. Gower, & Joseph Buongiorno. (2012). Estimating the carbon budget and maximizing future carbon uptake for a temperate forest region in the U.S.. Carbon Balance and Management. 7(1). 6–6. 20 indexed citations
13.
Wolter, Peter T., et al.. (2012). Exploiting tree shadows on snow for estimating forest basal area using Landsat data. Remote Sensing of Environment. 121. 69–79. 25 indexed citations
14.
Voinov, Alexey, Cecelia DeLuca, Raleigh R. Hood, et al.. (2010). A Community Approach to Earth Systems Modeling. Eos. 91(13). 117–118. 27 indexed citations
15.
Peckham, S. D. & Eric Hutton. (2009). Componentizing, standardizing and visualizing: How CSDMS is building a new system for integrated modeling from open-source tools and standards. AGU Fall Meeting Abstracts. 2009. 3 indexed citations
16.
Peckham, S. D., Douglas E. Ahl, & Stith T. Gower. (2009). Bryophyte cover estimation in a boreal black spruce forest using airborne lidar and multispectral sensors. Remote Sensing of Environment. 113(6). 1127–1132. 14 indexed citations
17.
Peckham, S. D. & James P. M. Syvitski. (2007). Evaluation of Model Coupling Frameworks for Use by the Community Surface Dynamics Modeling System (CSDMS). AGU Fall Meeting Abstracts. 2007. 8 indexed citations
18.
Bond‐Lamberty, Ben, S. D. Peckham, Douglas E. Ahl, & Stith T. Gower. (2007). Fire as the dominant driver of central Canadian boreal forest carbon balance. Nature. 450(7166). 89–92. 408 indexed citations
19.
Peckham, S. D.. (2004). The TopoFlow Hydrologic Model: A New Community Project. AGU Spring Meeting Abstracts. 2004. 1 indexed citations
20.
Peckham, S. D., William Manley, Mark B. Dyurgerov, & James P. M. Syvitski. (2002). Modeling coastal erosion near Barrow, Alaska. 413. 46–47. 2 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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