D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Ecology and Evolution D-index 53 Citations 9,038 123 World Ranking 2047 National Ranking 777

Overview

What is he best known for?

The fields of study he is best known for:

  • Ecology
  • Habitat
  • Statistics

Wesley M. Hochachka spends much of his time researching Ecology, Citizen science, Data science, Avian clutch size and Nest. His Ecology study integrates concerns from other disciplines, such as Natural population growth and Inbreeding. His work deals with themes such as Zoology and Inbreeding depression, which intersect with Natural population growth.

Wesley M. Hochachka has researched Data science in several fields, including Visualization, Ecological systems theory, Complex system and Data collection. His Avian clutch size study combines topics from a wide range of disciplines, such as Emberizidae and Predation. In his research, Reproduction is intimately related to Reproductive success, which falls under the overarching field of Emberizidae.

His most cited work include:

  • The eBird enterprise: An integrated approach to development and application of citizen science (404 citations)
  • Selection against inbred song sparrows during a natural population bottleneck (352 citations)
  • Density-dependent decline of host abundance resulting from a new infectious disease (280 citations)

What are the main themes of his work throughout his whole career to date?

Ecology, Citizen science, Zoology, Data science and Mycoplasma gallisepticum are his primary areas of study. Habitat, Range, Global warming, Climate change and Seasonal breeder are the primary areas of interest in his Ecology study. His Citizen science research overlaps with Data collection, Abundance, Ecology, Environmental resource management and Inference.

His Zoology research incorporates elements of Population size and Reproductive success. His Data science research includes themes of Biodiversity and Ecological systems theory. His Mycoplasma gallisepticum study deals with Pathogen intersecting with Population density.

He most often published in these fields:

  • Ecology (57.89%)
  • Citizen science (22.56%)
  • Zoology (13.53%)

What were the highlights of his more recent work (between 2017-2021)?

  • Citizen science (22.56%)
  • Ecology (57.89%)
  • Data science (12.78%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Citizen science, Ecology, Data science, Abundance and Range. Wesley M. Hochachka brings together Ecology and Dominance hierarchy to produce work in his papers. His Data science research is multidisciplinary, relying on both Data collection and Urban ecology.

Wesley M. Hochachka combines subjects such as Wetland habitat and Outbreak, 2019-20 coronavirus outbreak with his study of Data collection. His Abundance study combines topics in areas such as Biomass, Tropics, Overwintering and Occupancy. The various areas that Wesley M. Hochachka examines in his Range study include Extinction, Annual cycle, Global warming and Colonization.

Between 2017 and 2021, his most popular works were:

  • Estimates of observer expertise improve species distributions from citizen science data (77 citations)
  • Using Semistructured Surveys to Improve Citizen Science Data for Monitoring Biodiversity. (54 citations)
  • Seasonal abundance and survival of North America's migratory avifauna determined by weather radar. (50 citations)

In his most recent research, the most cited papers focused on:

  • Ecology
  • Habitat
  • Statistics

Wesley M. Hochachka mainly investigates Citizen science, Abundance, Data science, Bird migration and Inference. Abundance is a primary field of his research addressed under Ecology. Wesley M. Hochachka integrates Ecology and Weather radar in his research.

The Data science study combines topics in areas such as Biodiversity, Variation, Range and Data collection. His study looks at the relationship between Bird migration and topics such as Temporal scales, which overlap with Nocturnal. His research in Inference intersects with topics in Regression analysis, Statistics, Econometrics and Covariate.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

The eBird enterprise: An integrated approach to development and application of citizen science

.
Biological Conservation (2014)

706 Citations

Selection against inbred song sparrows during a natural population bottleneck

Lukas F. Keller;Peter Arcese;James N. M. Smith;Wesley M. Hochachka.
Nature (1994)

457 Citations

Data-intensive science applied to broad-scale citizen science

.
Trends in Ecology and Evolution (2012)

437 Citations

Density-dependent decline of host abundance resulting from a new infectious disease

.
Proceedings of the National Academy of Sciences of the United States of America (2000)

388 Citations

Data-intensive Science: A New Paradigm for Biodiversity Studies

.
BioScience (2009)

368 Citations

Immigration and the ephemerality of a natural population bottleneck: evidence from molecular markers.

.
Proceedings of The Royal Society B: Biological Sciences (2001)

298 Citations

Seasonal Decline in Reproductive Performance of Song Sparrows

.
Ecology (1990)

259 Citations

Stability, Regulation, and the Determination of Abundance in an Insular Song Sparrow Population

.
Ecology (1992)

255 Citations

Spatiotemporal exploratory models for broad-scale survey data

.
Ecological Applications (2010)

248 Citations

Simultaneous effects of phylogenetic niche conservatism and competition on avian community structure.

.
Ecology (2006)

212 Citations

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