Matthew Strimas-Mackey

Matthew Strimas-Mackey

Cornell University

H-index: 22

North America-United States

About Matthew Strimas-Mackey

Matthew Strimas-Mackey, With an exceptional h-index of 22 and a recent h-index of 22 (since 2020), a distinguished researcher at Cornell University, specializes in the field of Conservation Biology, Ornithology, Data Science.

His recent articles reflect a diverse array of research interests and contributions to the field:

Mapping the planet’s critical areas for biodiversity and nature’s contributions to people

A double machine learning trend model for citizen science data

Mapping the planet's critical areas for biodiversity and people

Response to comment on “Interspecific competition limits bird species’ ranges on tropical mountains”

Mapping the planet’s critical natural assets

Interspecific competition limits bird species’ ranges in tropical mountains

The role of artificial light at night and road density in predicting the seasonal occurrence of nocturnally migrating birds

Bird Cams Lab Video Data

Matthew Strimas-Mackey Information

University

Position

___

Citations(all)

1342

Citations(since 2020)

1276

Cited By

269

hIndex(all)

22

hIndex(since 2020)

22

i10Index(all)

29

i10Index(since 2020)

29

Email

University Profile Page

Google Scholar

Matthew Strimas-Mackey Skills & Research Interests

Conservation Biology

Ornithology

Data Science

Top articles of Matthew Strimas-Mackey

Mapping the planet’s critical areas for biodiversity and nature’s contributions to people

Nature Communications

2024/1/10

A double machine learning trend model for citizen science data

Methods in Ecology and Evolution

2023/9

Response to comment on “Interspecific competition limits bird species’ ranges on tropical mountains”

Science

2023/1/27

Matthew Strimas-Mackey
Matthew Strimas-Mackey

H-Index: 8

Interspecific competition limits bird species’ ranges in tropical mountains

Science

2022/7/22

Matthew Strimas-Mackey
Matthew Strimas-Mackey

H-Index: 8

The role of artificial light at night and road density in predicting the seasonal occurrence of nocturnally migrating birds

Diversity and Distributions

2022/5

Reduced human activity during COVID-19 alters avian land use across North America

Science Advances

2021/9/22

Analytical guidelines to increase the value of community science data: An example using eBird data to estimate species distributions

Diversity and Distributions

2021/7

A pathway for citizen science data to inform policy: A case study using eBird data for defining low‐risk collision areas for wind energy development

Journal of Applied Ecology

2021/6

Multiscale drivers of restoration outcomes for an imperiled songbird

Restoration Ecology

2020/7

Exact integer linear programming solvers outperform simulated annealing for solving conservation planning problems

PeerJ

2020/5/27

Richard Schuster
Richard Schuster

H-Index: 13

Matthew Strimas-Mackey
Matthew Strimas-Mackey

H-Index: 8

Comparing abundance distributions and range maps in spatial conservation planning for migratory species

Ecological Applications

2020/4

Breeding season length predicts duet coordination and consistency in Neotropical wrens (Troglodytidae)

Proceedings of the Royal Society B

2020/12/23

colorist: An r package for colouring wildlife distributions in space–time

Methods in Ecology and Evolution

2020/11

A meta‐analysis of global avian survival across species and latitude

2020/10

Integrating citizen science data with expert surveys increases accuracy and spatial extent of species distribution models

Diversity and Distributions

2020/8

See List of Professors in Matthew Strimas-Mackey University(Cornell University)