A. McNabb

53 papers receiving 1.3k citations

Peers

A. McNabb
Comparison fields: 5 of 137
  • Microbiology 78
  • Small Animals 199
  • Geophysics 294
  • Infectious Diseases 303
  • Epidemiology 389
Replace William M. Dunne with:
William M. Dunne United States
Masahiko Makino Japan
Hiroaki Miura Japan
H. B. Levine United States
David Brown United States
Yujiro Suzuki Japan
Robert Morrison United States
M. A. Lovell United Kingdom
P. Vauterin Belgium
Saunders United Kingdom
A. McNabb relative to William M. Dunne United States William M. Dunne's profile →
Citations per field
00.5×3.8×
William M. Dunne · 1×
Citations per year

Countries citing papers authored by A. McNabb

Since Specialization
Citations

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

Fields of papers citing papers by A. McNabb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978303
2 2004157
3 2005108
4 200554
5 197650
6 198647
7 199746
8 200644
9 196041
10 200740
11 199737
12 199735
13 199134
14 200433
15 200630
16 201530
17 200627
18 199624
19
BOILING CURVES AT BROADLANDS GEOTHERMAL FIELD, NEW ZEALAND.
197722
20 199218

About A. McNabb

A. McNabb is a scholar working on Computational Theory and Mathematics, Molecular Biology, Infectious Diseases, Numerical Analysis and Epidemiology, having authored 54 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (9 papers), Differential Equations and Numerical Methods (6 papers), Numerical methods in inverse problems (5 papers), Mycobacterium research and diagnosis (5 papers), Genomics and Phylogenetic Studies (4 papers), Nonlinear Partial Differential Equations (4 papers), Bacterial Identification and Susceptibility Testing (4 papers) and Viral Infections and Vectors (3 papers). The work is most often cited by research in Microbiology (78 citations), Small Animals (199 citations), Geophysics (294 citations), Infectious Diseases (303 citations) and Epidemiology (389 citations). A. McNabb has collaborated with scholars based in Canada, New Zealand and United States. Frequent co-authors include Richard W. Henley, Judith L. Isaac‐Renton, Diane Eisler, Gwen Stephens, Mabel Rodrigues, W. A. P. Black, R. J. Behme, G.C. Wake, Robert Anderssen and E. R. Lapwood. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Mathematical Analysis and Applications, Mathematical Biosciences, Proceedings of the American Mathematical Society and Journal of Medical Entomology.

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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