Claus Melvad

15 papers receiving 430 citations

Claus Melvad's Hit Papers

Deep learning and computer vision will transform entomology 2021 · 281 citations
2810+1+3Years since publication50100150200250

Peers

Claus Melvad
Comparison fields: 5 of 81
  • Ecological Modeling 96
  • Insect Science 79
  • Ecology, Evolution, Behavior and Systematics 86
  • Ecology 98
  • Genetics 72
Replace Dae‐Seong Lee with:
Dae‐Seong Lee South Korea
Kenji Osé France
Clara Tattoni Italy
Gavin J. Melville Australia
Andrew W. Hill United States
Mikko Tiusanen Finland
Elise A. Larsen United States
Václav Petráš United States
Ohseok Kwon South Korea
Michel Goulard France
Claus Melvad relative to Dae‐Seong Lee South Korea Dae‐Seong Lee's profile →
Citations per field
00.5×1.5×1.9×
Dae‐Seong Lee · 1×
Citations per year

Countries citing papers authored by Claus Melvad

Since Specialization
Citations

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

Fields of papers citing papers by Claus Melvad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claus Melvad. 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 Claus Melvad. The network helps show where Claus Melvad may publish in the future.

Co-authors

The 25 scholars most cited alongside Claus Melvad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Claus Melvad Line = papers co-authored together Claus Melvad links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Deep learning and computer vision will transform entomology
Hit paper breakdown →
2021281
2 201945
3 201828
4 201018
5 201918
6 202215
7 20226
8 20245
9 20225
10 20204
11 20234
12 20153
13 20213
14 20091
15 20251

About Claus Melvad

Claus Melvad is a scholar working on Atmospheric Science, Ecology, Aerospace Engineering, Pulmonary and Respiratory Medicine and Ocean Engineering, having authored 15 papers that have together received 437 indexed citations. Recurring topics across this work include Arctic and Antarctic ice dynamics (6 papers), Cryospheric studies and observations (4 papers), Marine animal studies overview (2 papers), Underwater Vehicles and Communication Systems (2 papers), Winter Sports Injuries and Performance (2 papers), Aerospace Engineering and Energy Systems (2 papers), Icing and De-icing Technologies (2 papers) and Force Microscopy Techniques and Applications (1 paper). The work is most often cited by research in Ecological Modeling (96 citations), Insect Science (79 citations), Ecology, Evolution, Behavior and Systematics (86 citations), Ecology (98 citations) and Genetics (72 citations). Claus Melvad has collaborated with scholars based in Denmark, Germany and Greenland. Frequent co-authors include Kim Bjerge, Toke T. Høye, Johanna Ärje, Alexandros Iosifidis, Florian Leese, Oskar Liset Pryds Hansen, Hjalte M. R. Mann, Kristian Meissner, Jenni Raitoharju and Søren Rysgaard. Their work appears in journals such as HardwareX, PeerJ, Atmospheric measurement techniques, Proceedings of the National Academy of Sciences and Cold Regions Science and Technology.

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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