A. W. Monster

984 total citations
11 papers, 806 citations indexed

About

A. W. Monster is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, A. W. Monster has authored 11 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Cognitive Neuroscience. Recurrent topics in A. W. Monster's work include Muscle activation and electromyography studies (8 papers), Neuroscience and Neural Engineering (4 papers) and Motor Control and Adaptation (4 papers). A. W. Monster is often cited by papers focused on Muscle activation and electromyography studies (8 papers), Neuroscience and Neural Engineering (4 papers) and Motor Control and Adaptation (4 papers). A. W. Monster collaborates with scholars based in United States and Netherlands. A. W. Monster's co-authors include Daniel Kernell, Hsiang‐Yu Chan, David O’Connor, Hung Tuck Chan, Donna O’Connor and Y. Tamai and has published in prestigious journals such as Science, Journal of Neurophysiology and Brain Research.

In The Last Decade

A. W. Monster

11 papers receiving 765 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
A. W. Monster United States	10	605	373	291	122	122	11	806
R Garnett United Kingdom	9	600 1.0×	479 1.3×	185 0.6×	222 1.8×	113 0.9×	18	955
B. Appelberg Sweden	18	377 0.6×	324 0.9×	238 0.8×	237 1.9×	112 0.9×	29	931
E. Eldred United States	17	511 0.8×	289 0.8×	298 1.0×	183 1.5×	127 1.0×	44	1.2k
John A. Hodgson United States	9	383 0.6×	132 0.4×	204 0.7×	96 0.8×	133 1.1×	13	988
Robert S. Hutton United States	18	703 1.2×	371 1.0×	118 0.4×	218 1.8×	624 5.1×	34	1.3k
K Grottel Poland	12	301 0.5×	118 0.3×	179 0.6×	104 0.9×	77 0.6×	63	532
G. E. Loeb United States	7	435 0.7×	372 1.0×	117 0.4×	63 0.5×	87 0.7×	12	649
P. Bawa Canada	20	1.0k 1.7×	809 2.2×	318 1.1×	413 3.4×	156 1.3×	34	1.5k
Piotr Krutki Poland	17	491 0.8×	268 0.7×	300 1.0×	249 2.0×	161 1.3×	97	1.0k
Michael D. Johnson United States	17	664 1.1×	482 1.3×	381 1.3×	232 1.9×	87 0.7×	28	1.1k

Countries citing papers authored by A. W. Monster

Since Specialization

Citations

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

Fields of papers citing papers by A. W. Monster

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. W. Monster

This figure shows the co-authorship network connecting the top 25 collaborators of A. W. Monster. A scholar is included among the top collaborators of A. W. Monster based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A. W. Monster. A. W. Monster is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Kernell, Daniel & A. W. Monster. (1982). Motoneurone properties and motor fatigue. Experimental Brain Research. 46(2). 197–204. 143 indexed citations

2.

Kernell, Daniel & A. W. Monster. (1982). Time course and properties of late adaptation in spinal motoneurones of the cat. Experimental Brain Research. 46(2). 191–196. 156 indexed citations

3.

Kernell, Daniel & A. W. Monster. (1981). Threshold current for repetitive impulse firing in motoneurones innervating muscle fibres of different fatigue sensitivity in the cat. Brain Research. 229(1). 193–196. 32 indexed citations

4.

Monster, A. W. & Hsiang‐Yu Chan. (1980). Surface electromyogram potentials of motor units; Relationship between potential size and unit location in a large human skeletal muscle. Experimental Neurology. 67(2). 280–297. 26 indexed citations

5.

Monster, A. W., et al.. (1980). A System for the Rapid Acquisition of Surface Potential Maps of Human Skeletal Muscle Motor Units. IEEE Transactions on Biomedical Engineering. BME-27(2). 110–112. 15 indexed citations

6.

Monster, A. W.. (1979). Firing rate behavior of human motor units during isometric voluntary contraction: relation to unit size. Brain Research. 171(2). 349–354. 17 indexed citations

7.

Monster, A. W., Hung Tuck Chan, & Donna O’Connor. (1978). Long-term trends in human eye blink rate.. PubMed. 5(4). 206–22. 40 indexed citations

8.

Monster, A. W.. (1978). Two ranges in the firing rate response of volitionally activated low-threshold EDC motor units.. PubMed. 17(3-4). 231–7. 2 indexed citations

9.

Monster, A. W., et al.. (1978). Activity Patterns of Human Skeletal Muscles: Relation to Muscle Fiber Type Composition. Science. 200(4339). 314–317. 104 indexed citations

10.

Monster, A. W. & Hsiang‐Yu Chan. (1977). Isometric force production by motor units of extensor digitorum communis muscle in man. Journal of Neurophysiology. 40(6). 1432–1443. 260 indexed citations

11.

Monster, A. W., et al.. (1974). Dantrolene sodium: its effect on extrafusal muscle fibers.. PubMed. 55(8). 355–62. 11 indexed citations

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.

Explore authors with similar magnitude of impact