Peter C. Patton

1.8k citations
38 papers · 1.1k · h-index 15

Impact in

Papers in

Peter C. Patton

33 papers receiving 965 citations

Peers

Peter C. Patton
Comparison fields: 5 of 83
  • Soil Science 427
  • Earth-Surface Processes 232
  • Water Science and Technology 407
  • Ecology 547
  • Environmental Engineering 255
Replace Mark A. Melton with:
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Citations per field
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Citations per year

Countries citing papers authored by Peter C. Patton

Since Specialization
Citations

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

Fields of papers citing papers by Peter C. Patton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter C. Patton. 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 Peter C. Patton. The network helps show where Peter C. Patton may publish in the future.

Co-authors

The 19 scholars most cited alongside Peter C. Patton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter C. Patton Line = papers co-authored together Peter C. Patton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1976281
2 1975252
3 1981113
4 198288
5 198273
6 198243
7 198632
8 197230
9 199327
10 198926
11
Origin of the Cheney-Palouse Scabland tract
197826
12 199925
13
Design for Trustworthy Software: Tools, Techniques, and Methodology of Developing Robust Software
200620
14 199214
15 198514
16 197814
17 19737
18
Long-term flood frequency analysis using geological data ( Pecos River Texas).
19795
19
Stream network analysis and geomorphic flood plain mapping from orbital and suborbital remote sensing imagery application to flood hazard studies in central Texas
19754
20
Performance limits for parallel processors
19893

About Peter C. Patton

Peter C. Patton is a scholar working on Ecology, Earth-Surface Processes, Hardware and Architecture, Computer Networks and Communications and Atmospheric Science, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Geological formations and processes (8 papers), Hydrology and Sediment Transport Processes (7 papers), Parallel Computing and Optimization Techniques (6 papers), Geology and Paleoclimatology Research (5 papers), Flood Risk Assessment and Management (4 papers), Embedded Systems Design Techniques (4 papers), Interconnection Networks and Systems (4 papers) and Software Reliability and Analysis Research (3 papers). The work is most often cited by research in Soil Science (427 citations), Earth-Surface Processes (232 citations), Water Science and Technology (407 citations), Ecology (547 citations) and Environmental Engineering (255 citations). Peter C. Patton has collaborated with scholars based in United States and Australia. Frequent co-authors include Victor R. Baker, Stanley A. Schumm, Chester Arnold, R. Craig Kochel, Kenneth J. Thurber, David M. Price, Gaboury Benoit, Tim F. Rozan, E. Douglas Jensen and Bernard O. Bauer. Their work appears in journals such as Geology, Geological Society of America Bulletin, Quaternary Research, Water Resources Research and Geographical Review.

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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