Daniel McCarthy

704 citations
37 papers · 477 · h-index 12

Impact in

Papers in

Daniel McCarthy

31 papers receiving 423 citations

Peers

Daniel McCarthy
Comparison fields: 5 of 66
  • Atmospheric Science 335
  • Management, Monitoring, Policy and Law 105
  • Ecology, Evolution, Behavior and Systematics 101
  • Paleontology 28
  • Nature and Landscape Conservation 43
Replace Amber E. Vater with:
Amber E. Vater United Kingdom
Chiara Molinari Sweden
Přemysl Bobek Czechia
Cathy L Whitlock United States
Jörgen Olofsson Sweden
Shuji Iwata Japan
Wang Xiaoming China
S Lichti-Federovich Canada
Héctor D'Antoni United States
Émile Roche Belgium
Daniel McCarthy relative to Amber E. Vater United Kingdom Amber E. Vater's profile →
Citations per field
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Amber E. Vater · 1×
Citations per year

Countries citing papers authored by Daniel McCarthy

Since Specialization
Citations

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

Fields of papers citing papers by Daniel McCarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199366
2 201462
3 199152
4 199551
5 200529
6 199428
7 200324
8 199223
9 199519
10 200219
11 200114
12 199413
13 199710
14 20019
15 20127
16 19916
17 19976
18 19935
19
The Greensburg, KS Tornado
20075
20
What Are We Doing with (or to) the F-Scale?
20064

About Daniel McCarthy

Daniel McCarthy is a scholar working on Atmospheric Science, Ecology, Evolution, Behavior and Systematics, Astronomy and Astrophysics, Artificial Intelligence and Management, Monitoring, Policy and Law, having authored 37 papers that have together received 477 indexed citations. Recurring topics across this work include Geology and Paleoclimatology Research (16 papers), Lichen and fungal ecology (10 papers), Tree-ring climate responses (6 papers), Historical Astronomy and Related Studies (5 papers), Cryospheric studies and observations (3 papers), Geochemistry and Geologic Mapping (3 papers), Landslides and related hazards (3 papers) and Archaeology and ancient environmental studies (2 papers). The work is most often cited by research in Atmospheric Science (335 citations), Management, Monitoring, Policy and Law (105 citations), Ecology, Evolution, Behavior and Systematics (101 citations), Paleontology (28 citations) and Nature and Landscape Conservation (43 citations). Daniel McCarthy has collaborated with scholars based in Canada, Ireland and United States. Frequent co-authors include Brian H. Luckman, Peter E. Kelly, Gerald Osborn, Rohit Prasad, Bernhard Suhm, Prem Natarajan, Daniel Vrbanić, Aleš Mrzel, Yenny Hernández and Werner J. Blau. Their work appears in journals such as Peritia, Arctic Antarctic and Alpine Research, Quaternary Research, The Annals of Thoracic Surgery and Canadian Journal of Earth Sciences.

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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