Charles A. Laszlo

690 total citations
35 papers, 511 citations indexed

About

Charles A. Laszlo is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Sensory Systems. According to data from OpenAlex, Charles A. Laszlo has authored 35 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 8 papers in Biomedical Engineering and 7 papers in Sensory Systems. Recurrent topics in Charles A. Laszlo's work include Hearing, Cochlea, Tinnitus, Genetics (7 papers), Speech and Audio Processing (6 papers) and Muscle activation and electromyography studies (6 papers). Charles A. Laszlo is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (7 papers), Speech and Audio Processing (6 papers) and Muscle activation and electromyography studies (6 papers). Charles A. Laszlo collaborates with scholars based in Canada, United Kingdom and New Caledonia. Charles A. Laszlo's co-authors include W. Robert J. Funnell, Rabab Ward, Qiaobing Xie, C. Hershler, R. P. Gannon, Michael Slawnych, John Milsum, Martin D. Levine, Andrew Macnab and France Gagnon and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Neurophysiology.

In The Last Decade

Charles A. Laszlo

31 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles A. Laszlo Canada 12 137 103 98 94 93 35 511
Gordon Flottorp Norway 16 115 0.8× 87 0.8× 523 5.3× 314 3.3× 144 1.5× 40 927
Dirk Mürbe Germany 20 322 2.4× 39 0.4× 334 3.4× 175 1.9× 138 1.5× 52 1.1k
Emi Z. Murano United States 17 87 0.6× 49 0.5× 69 0.7× 12 0.1× 92 1.0× 57 827
John C. Goddard United States 16 279 2.0× 30 0.3× 101 1.0× 247 2.6× 66 0.7× 39 893
Wilbur J. Gould United States 22 30 0.2× 25 0.2× 60 0.6× 58 0.6× 203 2.2× 46 1.5k
Philipp P. Caffier Germany 15 99 0.7× 43 0.4× 155 1.6× 77 0.8× 44 0.5× 48 716
Koichi Tsunoda Japan 16 54 0.4× 73 0.7× 45 0.5× 143 1.5× 36 0.4× 81 845
D. W. Robinson United Kingdom 17 66 0.5× 145 1.4× 487 5.0× 261 2.8× 124 1.3× 44 977
Ö. Özdamar United States 12 60 0.4× 53 0.5× 407 4.2× 171 1.8× 203 2.2× 61 666
Jörg Lohscheller Germany 25 187 1.4× 48 0.5× 94 1.0× 40 0.4× 350 3.8× 69 1.8k

Countries citing papers authored by Charles A. Laszlo

Since Specialization
Citations

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

Fields of papers citing papers by Charles A. Laszlo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles A. Laszlo

This figure shows the co-authorship network connecting the top 25 collaborators of Charles A. Laszlo. A scholar is included among the top collaborators of Charles A. Laszlo 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 Charles A. Laszlo. Charles A. Laszlo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Laszlo, Charles A. & John Milsum. (2015). Biomedical engineering. SHILAP Revista de lepidopterología. 32(1). 321–321. 8 indexed citations
2.
Laszlo, Charles A., et al.. (2005). Which Is Mightier, the Tuning Fork or the Bone Oscillator?. The Journal of Otolaryngology. 34(2). 135–135.
3.
Laszlo, Charles A., et al.. (2005). A quantitative evaluation of methods for recording surface electromyogram. 1217–1218. 1 indexed citations
4.
Choi, Alex, Charles A. Laszlo, & C. Hershler. (2003). The design of a flexible magnetic stimulator. 238–239. 1 indexed citations
5.
Xie, Q., Rabab Ward, & Charles A. Laszlo. (2002). Multidimensional histogram classifier design by using vector quantization. 1. 39–42.
6.
Laszlo, Charles A., et al.. (2002). Estimation of the firing rate of an incomplete MUAP train. 217. 970–972. 1 indexed citations
7.
Slawnych, Michael, Charles A. Laszlo, & C. Hershler. (1997). Motor unit number estimation: Sample size considerations. Muscle & Nerve. 20(1). 22–28. 18 indexed citations
8.
Slawnych, Michael, Charles A. Laszlo, & C. Hershler. (1996). Motor unit estimates obtained using the new ?MUESA? method. Muscle & Nerve. 19(5). 626–636. 18 indexed citations
9.
Xie, Qiaobing, Rabab Ward, & Charles A. Laszlo. (1996). Automatic Assessment of Infants' Levels-of-Distress from the Cry Signals. IEEE Transactions on Speech and Audio Processing. 4(4). 253–253. 31 indexed citations
10.
Macnab, Andrew, et al.. (1995). Vibration and noise in pediatric emergency transport vehicles: a potential cause of morbidity?. PubMed. 66(3). 212–9. 36 indexed citations
11.
Slawnych, Michael, Charles A. Laszlo, & C. Hershler. (1990). A review of techniques employed to estimate the number of motor units in a muscle. Muscle & Nerve. 13(11). 1050–1064. 25 indexed citations
12.
Laszlo, Charles A., et al.. (1978). A Model to Support Radiographic Equipment Allocation Decisions. Journal of the Operational Research Society. 29(3). 205–214.
13.
Funnell, W. Robert J. & Charles A. Laszlo. (1975). Modeling the eardrum as a doubly curved shell using the finite-element method. The Journal of the Acoustical Society of America. 57(S1). S72–S72. 1 indexed citations
14.
Funnell, W. Robert J. & Charles A. Laszlo. (1974). Simulating the behavior of the eardrum by the finite-element method. The Journal of the Acoustical Society of America. 56(S1). S3–S3. 1 indexed citations
15.
Funnell, W. Robert J. & Charles A. Laszlo. (1974). Dependence of middle-ear parameters on body weight in the guinea pig. The Journal of the Acoustical Society of America. 56(5). 1551–1553. 2 indexed citations
16.
Gannon, R. P., et al.. (1973). Perilymph Displacement by Cerebrospinal Fluid in the Cochlea. Annals of Otology Rhinology & Laryngology. 82(1). 53–61. 39 indexed citations
17.
Laszlo, Charles A., John Milsum, & R. P. Gannon. (1972). Modeling and Simulation of the Cochlear Potentials of the Guinea Pig. The Journal of the Acoustical Society of America. 52(6B). 1648–1660. 5 indexed citations
18.
Funnell, W. Robert J. & Charles A. Laszlo. (1972). The Acoustical Impedance of the Guinea-Pig Middle Ear and the Effects of the Middle-Ear Muscles. The Journal of the Acoustical Society of America. 52(1A_Supplement). 129–129. 3 indexed citations
19.
Laszlo, Charles A., R. P. Gannon, & John Milsum. (1970). Measurement of the Cochlear Potentials of the Guinea Pig at Constant Sound-Pressure Level at the Eardrum. I. Cochlear-Microphonic Amplitude and Phase. The Journal of the Acoustical Society of America. 47(4B). 1063–1070. 6 indexed citations
20.
Gannon, R. P. & Charles A. Laszlo. (1968). Effect of atropine on the latency of cochlear potentials.. Journal of Neurophysiology. 31(3). 419–427. 5 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.

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