William B. Toscano

912 total citations
47 papers, 672 citations indexed

About

William B. Toscano is a scholar working on Human-Computer Interaction, Physiology and Aerospace Engineering. According to data from OpenAlex, William B. Toscano has authored 47 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Human-Computer Interaction, 15 papers in Physiology and 11 papers in Aerospace Engineering. Recurrent topics in William B. Toscano's work include Virtual Reality Applications and Impacts (18 papers), Spaceflight effects on biology (14 papers) and Human-Automation Interaction and Safety (7 papers). William B. Toscano is often cited by papers focused on Virtual Reality Applications and Impacts (18 papers), Spaceflight effects on biology (14 papers) and Human-Automation Interaction and Safety (7 papers). William B. Toscano collaborates with scholars based in United States, New Zealand and Italy. William B. Toscano's co-authors include Patricia S. Cowings, Karen H. Naifeh, Joe Kamiya, C. W. Deroshia, Neal E. Miller, Stephen LaBerge, Maria Assunta Cova, Emilio Quaia, U. Joseph Schoepf and Felix G. Meinel and has published in prestigious journals such as Sensors, Psychophysiology and Journal of Sound and Vibration.

In The Last Decade

William B. Toscano

46 papers receiving 588 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William B. Toscano United States 14 196 129 127 121 101 47 672
R M Stern United States 12 255 1.3× 135 1.0× 70 0.6× 139 1.1× 114 1.1× 14 910
Patricia S. Cowings United States 13 207 1.1× 125 1.0× 77 0.6× 126 1.0× 92 0.9× 47 558
Lisa Alcock United Kingdom 24 82 0.4× 75 0.6× 57 0.4× 40 0.3× 95 0.9× 59 1.6k
Laura Petrini Denmark 22 42 0.2× 288 2.2× 80 0.6× 76 0.6× 78 0.8× 53 1.2k
Chuck Goodyear United States 14 50 0.3× 69 0.5× 85 0.7× 125 1.0× 216 2.1× 45 819
Fabrizio Pisano Italy 26 93 0.5× 61 0.5× 33 0.3× 36 0.3× 172 1.7× 58 2.2k
Preeti Raghavan United States 20 50 0.3× 29 0.2× 49 0.4× 91 0.8× 134 1.3× 92 1.6k
Maxime Billot France 21 30 0.2× 156 1.2× 45 0.4× 52 0.4× 140 1.4× 92 1.2k
Angus H. Rupert United States 15 111 0.6× 53 0.4× 25 0.2× 225 1.9× 110 1.1× 59 638
Holger Lüdtke Germany 16 32 0.2× 102 0.8× 63 0.5× 144 1.2× 38 0.4× 27 1.0k

Countries citing papers authored by William B. Toscano

Since Specialization
Citations

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

Fields of papers citing papers by William B. Toscano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William B. Toscano. 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 William B. Toscano. The network helps show where William B. Toscano may publish in the future.

Co-authorship network of co-authors of William B. Toscano

This figure shows the co-authorship network connecting the top 25 collaborators of William B. Toscano. A scholar is included among the top collaborators of William B. Toscano 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 William B. Toscano. William B. Toscano 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.
Adelstein, Bernard D., et al.. (2022). Passenger Experience of Simulated Urban Air Mobility Ride Quality: Responses to Large-Scale Motion. IFAC-PapersOnLine. 55(29). 138–143.
2.
Toscano, William B., et al.. (2018). Evaluation of Astroskin Bio-monitor during high intensity physical activities. 262–265. 5 indexed citations
3.
Cowings, Patricia S., et al.. (2018). Psychophysiological assessment and correction of spatial disorientation during simulated Orion spacecraft re-entry. International Journal of Psychophysiology. 131. 102–112. 4 indexed citations
4.
Cowings, Patricia S., et al.. (2018). Autogenic Feedback Training Exercise: Controlling Physiological Responses to Mitigate Motion Sickness. 1 indexed citations
5.
Rossi, Alexia, Carlo N. De Cecco, Simon Kennon, et al.. (2017). CT angiography to evaluate coronary artery disease and revascularization requirement before trans-catheter aortic valve replacement. Journal of cardiovascular computed tomography. 11(5). 338–346. 55 indexed citations
6.
Liston, Dorion, et al.. (2014). G-Loading and Vibration Effects on Heart and Respiration Rates. Aviation Space and Environmental Medicine. 85(9). 949–953. 6 indexed citations
7.
Toscano, William B., et al.. (2014). Cardiovascular Change During Encoding Predicts the Nonconscious Mere Exposure Effect. The American Journal of Psychology. 127(2). 157–182. 3 indexed citations
8.
Belgrano, Manuel, et al.. (2013). 256-slice CT coronary angiography: in vivo dosimetry and technique optimization. La radiologia medica. 119(4). 249–256. 1 indexed citations
9.
10.
Cowings, Patricia S., et al.. (2012). Operational Applications of Autogenic Feedback Training Exercise as a Treatment for Airsickness in the Military. NASA Technical Reports Server (NASA). 4 indexed citations
11.
Cowings, Patricia S., et al.. (2007). Converging indicators for assessing individual differences in adaptation to extreme environments.. PubMed. 78(5 Suppl). B195–215. 16 indexed citations
12.
Cowings, Patricia S., et al.. (2006). Converging Indicators for Assessing Individual Differences in Adaptation to Extreme Environments: Preliminary Report. NASA Technical Reports Server (NASA). 1 indexed citations
13.
Rashed, Hani, et al.. (2002). Predictors of Response to a Behavioral Treatment in Patients with Chronic Gastric Motility Disorders. Digestive Diseases and Sciences. 47(5). 1020–1026. 26 indexed citations
14.
Cowings, Patricia S., et al.. (2001). Autogenic Feedback Training Exercise and Pilot Performance: Enhanced Functioning Under Search-and-Rescue Flying Conditions. International Journal of Aviation Psychology. 11(3). 303–315. 14 indexed citations
15.
Cowings, Patricia S. & William B. Toscano. (2000). Autogenic‐Feedback Training Exercise Is Superior to Promethazine for Control of Motion Sickness Symptoms. The Journal of Clinical Pharmacology. 40(10). 1154–1165. 40 indexed citations
16.
Ueno, Toshiaki, et al.. (2000). Cerebrovascular responses during lower body negative pressure-induced presyncope.. PubMed. 71(10). 1033–8. 13 indexed citations
17.
Cowings, Patricia S., William B. Toscano, C. W. Deroshia, & Neal E. Miller. (2000). Promethazine as a motion sickness treatment: impact on human performance and mood states.. PubMed. 71(10). 1013–22. 28 indexed citations
18.
Cowings, Patricia S., William B. Toscano, Neal E. Miller, et al.. (1994). Autogenic‐Feedback Training: A Potential Treatment For Orthostatic Intolerance in Aerospace Crews. The Journal of Clinical Pharmacology. 34(6). 599–608. 9 indexed citations
19.
Folen, Raymond A., et al.. (1994). Autogenic-feedback training improves pilot performance during emergency flying conditions. NASA Technical Reports Server (NASA). 3 indexed citations
20.
Toscano, William B. & Patricia S. Cowings. (1982). Reducing motion sickness - A comparison of autogenic-feedback training and an alternative cognitive task. Aviation. 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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