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Nicholas S. Green

ResearcherPublications, citations & collaboration network

Nicholas S. Green is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 32 works, 211 citations, an h-index of 8 and an i10-index of 8.

32
Works
211
Citations
8
h-index
8
i10-index

How has Nicholas S. Green's publication output changed over time?

ScholarIQpublication output · 2008–2023

Output grew0% over the shown period — from 1 works in 2008 to 1 in 2023.

1
1
1
1
2
1
1
1
1
200820112012201520192020202120222023

What are the most-cited papers on Nicholas S. Green?

ScholarIQmost cited works
Enumerating White‐Tailed Deer Using Unmanned Aerial Vehicles
Todd M. Preston, Mark L. Wildhaber, Nicholas S. Green, Janice L. Albers, Geoffrey P. DeBenedetto
Wildlife Society Bulletin. 202142 Citations
Natural and anthropogenic factors and their interactions drive stream community integrity in a North American river basin at a large spatial scale
Nicholas S. Green, Shibin Li, Jonathan D. Maul, Jay P. Overmyer
The Science of The Total Environment. 202222 CitationsOPEN ACCESS
Responses of Small Mammals and Vegetation to a Prescribed Burn in a Tallgrass Blackland Prairie
Brianna N. Kirchner, Nicholas S. Green, David A. Sergeant, Jeffrey N. Mink, Kenneth T. Wilkins
S132624429. 201119 Citations
Efficient mammal biodiversity surveys for ecological restoration monitoring
Nicholas S. Green, Mark L. Wildhaber, Janice L. Albers, Thomas W. Pettit, Michael Hooper
S112294809. 202016 CitationsOPEN ACCESS

Related on ScholarIQ

Kennesaw State University
Institution
Enumerating White‐Tailed Deer Using Unmanned Aerial Vehicles
Paper
Natural and anthropogenic factors and their interactions drive stream community integrity in a North American river basin at a large spatial scale
Paper
Responses of Small Mammals and Vegetation to a Prescribed Burn in a Tallgrass Blackland Prairie
Paper
A fully-stochasticized, age-structured population model for population viability analysis of fish: Lower Missouri River endangered pallid sturgeon example
Paper
Efficient mammal biodiversity surveys for ecological restoration monitoring
Paper
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