C. J. Reading

50 papers receiving 1.6k citations

Peers

C. J. Reading
Comparison fields: 5 of 78
  • Ecological Modeling 550
  • Global and Planetary Change 1.3k
  • Ecology, Evolution, Behavior and Systematics 709
  • Ecology 888
  • Nature and Landscape Conservation 343
Replace C. Kenneth Dodd with:
C. Kenneth Dodd United States
Kristen M. Hart United States
R. Bruce Bury United States
Octavio Rojas‐Soto Mexico
R. Graham Reynolds United States
D. Bruce Means United States
Darren J. Bender Canada
Jeroen Speybroeck Belgium
Julian J. O’Grady Australia
Matthias Leu United States
C. J. Reading relative to C. Kenneth Dodd United States C. Kenneth Dodd's profile →
Citations per field
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Citations per year

Countries citing papers authored by C. J. Reading

Since Specialization
Citations

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

Fields of papers citing papers by C. J. Reading

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006260
2 2010230
3 1998125
4 199199
5 200593
6 198279
7 197878
8 199559
9 198349
10 199145
11 199745
12 200645
13 199642
14 200440
15 201137
16 199934
17 200332
18 200930
19 199627
20 198626

About C. J. Reading

C. J. Reading is a scholar working on Global and Planetary Change, Ecology, Evolution, Behavior and Systematics, Ecology, Ecological Modeling and Developmental Biology, having authored 50 papers that have together received 1.8k indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (33 papers), Animal Behavior and Reproduction (23 papers), Wildlife Ecology and Conservation (15 papers), Species Distribution and Climate Change (9 papers), Animal Vocal Communication and Behavior (6 papers), Avian ecology and behavior (4 papers), Ecology and Vegetation Dynamics Studies (3 papers) and Bat Biology and Ecology Studies (3 papers). The work is most often cited by research in Ecological Modeling (550 citations), Global and Planetary Change (1.3k citations), Ecology, Evolution, Behavior and Systematics (709 citations), Ecology (888 citations) and Nature and Landscape Conservation (343 citations). C. J. Reading has collaborated with scholars based in United Kingdom, Australia and Argentina. Frequent co-authors include Ralph T. Clarke, S. McGrorty, Jon Loman, Thomas Madsen, J. D. Goss‐Custard, Lorenzo Rugiero, Luca Luiselli, Xavier Bonnet, David Pearson and Ernesto Filippi. Their work appears in journals such as Amphibia-Reptilia, Journal of Zoology, Oecologia, Herpetological Journal and Forest Ecology and Management.

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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