M. J. Daniel

561 citations
24 papers · 487 · h-index 12

Impact in

Papers in

M. J. Daniel

22 papers receiving 381 citations

Peers

M. J. Daniel
Comparison fields: 5 of 56
  • Ecological Modeling 75
  • Ecology, Evolution, Behavior and Systematics 246
  • Developmental Biology 26
  • Ecology 299
  • Paleontology 70
Replace Brian D. Lloyd with:
Brian D. Lloyd New Zealand
U. De V. Pienaar South Africa
Sidney Dillon Ripley
David W. Nellis United States
Don V. Merton New Zealand
Barrie D. Heather
Marcelo Oscar Bordignon Brazil
Joaquín Iriarte Chile
Andrzej L. Ruprecht Poland
Aurelio Martín Spain
M. J. Daniel relative to Brian D. Lloyd New Zealand Brian D. Lloyd's profile →
Citations per field
00.5×1.5×
Brian D. Lloyd · 1×
Citations per year

Countries citing papers authored by M. J. Daniel

Since Specialization
Citations

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

Fields of papers citing papers by M. J. Daniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside M. J. Daniel, 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 M. J. Daniel Line = papers co-authored together M. J. Daniel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197966
2 198466
3 197662
4 199659
5
Bionomics of the ship rat (Rattus r. rattus) in a New Zealand indigenous forest.
197257
6 197525
7 197524
8 198520
9 198415
10 199615
11 196812
12 198312
13 196310
14 19828
15 19647
16 19745
17 19875
18 19815
19 19874
20 19604

About M. J. Daniel

M. J. Daniel is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecology, Nature and Landscape Conservation, Ecological Modeling and Paleontology, having authored 24 papers that have together received 487 indexed citations. Recurring topics across this work include Bat Biology and Ecology Studies (10 papers), Wildlife Ecology and Conservation (8 papers), Species Distribution and Climate Change (6 papers), Ecology and Vegetation Dynamics Studies (6 papers), Animal Ecology and Behavior Studies (3 papers), Evolution and Paleontology Studies (3 papers), Forest ecology and management (2 papers) and Study of Mite Species (2 papers). The work is most often cited by research in Ecological Modeling (75 citations), Ecology, Evolution, Behavior and Systematics (246 citations), Developmental Biology (26 citations), Ecology (299 citations) and Paleontology (70 citations). M. J. Daniel has collaborated with scholars based in New Zealand, India and United States. Frequent co-authors include G. R. Williams, M. J. Meads, Brian J. Karl, Brian M. Fitzgerald, J.A.S. Adams, Robert A. Robinson, P. E. Cowan, Trevor H. Worthy, D. Waddington and Melanie Kershaw. Their work appears in journals such as Journal of Mammalogy, Journal of the Royal Society of New Zealand, Nature, New Zealand Journal of Ecology and New Zealand Veterinary Journal.

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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