Daniel J. Schmidt

1.8k citations
84 papers · 1.3k · h-index 19

Impact in

Papers in

Daniel J. Schmidt

84 papers receiving 1.3k citations

Peers

Daniel J. Schmidt
Comparison fields: 5 of 98
  • Nature and Landscape Conservation 649
  • Aquatic Science 231
  • Ecological Modeling 119
  • Genetics 636
  • Ecology 551
Replace Windsor E. Aguirre with:
Windsor E. Aguirre United States
Oliver M. Selz Switzerland
Hannu Mäkinen Finland
Brian R. Kreiser United States
Sanjay Molur India
José Manuel Cano Finland
Mary M. Peacock United States
Katsutoshi Watanabe Japan
Martin Laporte Canada
Jonathan Sandoval‐Castillo Australia
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Citations per field
00.5×2.5×
Windsor E. Aguirre · 1×
Citations per year

Countries citing papers authored by Daniel J. Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Schmidt. 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 Daniel J. Schmidt. The network helps show where Daniel J. Schmidt may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel J. Schmidt, 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 Daniel J. Schmidt Line = papers co-authored together Daniel J. Schmidt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009253
2 201361
3 201358
4 201148
5 202045
6 201042
7 201440
8 201439
9 201234
10 201033
11 200932
12 201124
13 200823
14 201422
15 201122
16 201422
17 201022
18 201021
19 201520
20 201818

About Daniel J. Schmidt

Daniel J. Schmidt is a scholar working on Genetics, Nature and Landscape Conservation, Ecology, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 84 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetic diversity and population structure (40 papers), Fish Ecology and Management Studies (31 papers), Identification and Quantification in Food (12 papers), Genomics and Phylogenetic Studies (11 papers), Fish Biology and Ecology Studies (10 papers), Environmental DNA in Biodiversity Studies (8 papers), Plant and animal studies (8 papers) and Marine and fisheries research (6 papers). The work is most often cited by research in Nature and Landscape Conservation (649 citations), Aquatic Science (231 citations), Ecological Modeling (119 citations), Genetics (636 citations) and Ecology (551 citations). Daniel J. Schmidt has collaborated with scholars based in Australia, Germany and Spain. Frequent co-authors include Jane Hughes, Debra S. Finn, Joel A. Huey, David A. Crook, Jed I. Macdonald, Leo Joseph, Nick Bond, Jonathan C. Marshall, Hanna Kokko and Jussi Lehtonen. Their work appears in journals such as Freshwater Biology, Molecular Ecology, Biological Journal of the Linnean Society, Australian Journal of Zoology and Journal of Heredity.

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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