Steven S. Perakis

5.6k citations
79 papers · 3.5k indexed · 2 hit papers · h-index 32

Steven S. Perakis

76 papers receiving 3.4k citations

Hit Papers

Global patterns of terrestrial biological nitrogen (N2) f...199920262008201719992002200400600

Peers

Steven S. Perakis
Comparison fields: 5 of 88
  • Soil Science 1.6k
  • Ecology 1.4k
  • Environmental Chemistry 1.1k
  • Global and Planetary Change 819
  • Nature and Landscape Conservation 728
Replace Patrick Schleppi with:
Patrick Schleppi Switzerland
Linda H. Pardo United States
William T. Peterjohn United States
Daniel Markewitz United States
Filip Moldan Sweden
Stephen Porder United States
Bruce L. Haines United States
Daniel Liptzin United States
Daniel Houle Canada
James O. Sickman United States
Steven S. Perakis relative to Patrick Schleppi Switzerland Patrick Schleppi's profile →
Citations per field
00.5×1.5×
Patrick Schleppi · 1×
Citations per year

Countries citing papers authored by Steven S. Perakis

Since Specialization
Citations

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

Fields of papers citing papers by Steven S. Perakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven S. Perakis

This figure shows the co-authorship network connecting the top 25 collaborators of Steven S. Perakis. A scholar is included among the top collaborators of Steven S. Perakis 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 Steven S. Perakis. Steven S. Perakis 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
#WorkIndexed citations
1 2
2 1
3 2
4 3
5 13
6 25
7 23
8 60
9 24
10 53
11 4
12 42
13 32
14 33
15 2
16 18
17
Non-Linear Nitrogen Cycling and Ecosystem Calcium Depletion Along a Temperate Forest Soil Nitrogen Gradient
2
18
Nitrogen loss from unpolluted South American forests mainly via dissolved organic compoundsbreakdown →
540
19 179
20 7

About Steven S. Perakis

Steven S. Perakis is a scholar working on Soil Science, Environmental Chemistry and Ecology, having authored 79 papers that have together received 3.5k indexed citations. Recurring topics across this work include Soil Carbon and Nitrogen Dynamics (48 papers), Soil and Water Nutrient Dynamics (29 papers) and Peatlands and Wetlands Ecology (27 papers). The work is most often cited by research in Soil Science (1.6k citations), Environmental Chemistry (1.1k citations) and Nature and Landscape Conservation (728 citations). Steven S. Perakis has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Lars O. Hedin, J. Pett-Ridge, Cory C. Cleveland, Jana E. Compton, H. Fisher, Joseph C. von Fischer, Alan R. Townsend, David Schimel, Erika F. Latty and Robert W. Howarth. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Geophysical Research Atmospheres.

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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