Peter Slaughter

1.4k citations
15 papers · 875 · 1 hit paper · h-index 8

Impact in

Papers in

Peter Slaughter

15 papers receiving 859 citations

Peter Slaughter's Hit Papers

Retrieval of subpixel snow covered area, grain size, and albedo from MODIS 2009 · 466 citations
4660+5+11Years since publication100200300400

Peers

Peter Slaughter
Comparison fields: 5 of 65
  • Atmospheric Science 446
  • Information Systems and Management 150
  • Ecological Modeling 52
  • Global and Planetary Change 204
  • Nature and Landscape Conservation 110
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Citations per year

Countries citing papers authored by Peter Slaughter

Since Specialization
Citations

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

Fields of papers citing papers by Peter Slaughter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter Slaughter, 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 Slaughter Line = papers co-authored together Peter Slaughter links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Retrieval of subpixel snow covered area, grain size, and albedo from MODIS
Hit paper breakdown →
2009466
2 2016217
3 200774
4 201145
5 201522
6 200816
7 201614
8 20107
9 20194
10 20183
11 20112
12
Community Dynamics Metrics [R package codyn version 2.0.4]
20202
13
Standardizing Metadata Quality Review for an Environmental Data Repository
20191
14
Evaluating the eco-hydrologic impacts of soil and water conservation in the Jinghe River Basin of Loess Plateau, China, using an eco-hydrologic model
20161
15
Community Dynamics Metrics
20161

About Peter Slaughter

Peter Slaughter is a scholar working on Information Systems and Management, Information Systems, Computer Networks and Communications, Management Science and Operations Research and Soil Science, having authored 15 papers that have together received 875 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (8 papers), Research Data Management Practices (7 papers), Distributed and Parallel Computing Systems (6 papers), Advanced Data Storage Technologies (2 papers), Data Quality and Management (2 papers), Hydrology and Watershed Management Studies (2 papers), Soil erosion and sediment transport (2 papers) and Plant Water Relations and Carbon Dynamics (1 paper). The work is most often cited by research in Atmospheric Science (446 citations), Information Systems and Management (150 citations), Ecological Modeling (52 citations), Global and Planetary Change (204 citations) and Nature and Landscape Conservation (110 citations). Peter Slaughter has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Karl Rittger, T. H. Painter, Jeff Dozier, Robert E. Davis, James Frew, Matthew B. Jones, Corinna Gries, A Macdonald, Dan F. B. Flynn and Scott L. Collins. Their work appears in journals such as Methods in Ecology and Evolution, Water, Remote Sensing of Environment, Lecture notes in computer science and Concurrency and Computation Practice and Experience.

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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