T. Langlois

Ecology · 2005–2017

A researcher in the Science corpus: 9 papers; trusts 10 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom T. Langlois trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Euan Harvey
  2. Marti J. Anderson
  3. D. Watson
  4. M. Cappo
  5. Trevor J. Willis
  6. Gary A. Kendrick
  7. Mark Shortis
  8. David J. Fletcher
  9. Hadley Wickham
  10. A. Underwood

Who trusts T. Langlois overall

  1. S. Whitmarsh
  2. Delphine Mallet
  3. Dominique Pelletier
  4. Peter G. Fairweather
  5. B. Ballantine
  6. T. Holmes
  7. Euan Harvey
  8. C. Huveneers

Papers from T. Langlois's perspective

Ordered by how strongly the researchers T. Langlois trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Comparison of baited remote underwater video stations (BRUVS) and prawn (shrimp) trawls for assessments of fish biodiversity in inter-reefal areas of the Great Barrier Reef Marine Park
  2. A comparison of underwater visual distance estimates made by scuba divers and a stereo-video system: implications for underwater visual census of reef fish abundance
  3. Determining Methods of Underwater Visual Census for Estimating the Abundance of Coral Reef Fishes (Environmental Biology of Fishes)
  4. Visual censuses of tropical fish aggregations on artificial reefs: slate versus video recording techniques
  5. Differences in recreationally targeted fishes between protected and fished areas of a coral reef marine park
  6. A Review of Underwater Stereo-Image Measurement for Marine Biology and Ecology Applications
  7. A comparison of temperate reef fish assemblages recorded by three underwater stereo-video techniques
  8. Power, precaution, Type II error and sampling design in assessment of environmental impacts
  9. Assessing undiscovered fish biodiversity on deep coral reefs using advanced self-contained diving technology
  10. Bait attraction affects the performance of remote underwater video stations in assessment of demersal fish community structure

Their papers