W. E. Tobler

801 total citations
35 papers, 665 citations indexed

About

W. E. Tobler is a scholar working on Mechanical Engineering, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, W. E. Tobler has authored 35 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Mechanical Engineering, 22 papers in Automotive Engineering and 11 papers in Control and Systems Engineering. Recurrent topics in W. E. Tobler's work include Gear and Bearing Dynamics Analysis (13 papers), Hydraulic and Pneumatic Systems (13 papers) and Electric and Hybrid Vehicle Technologies (12 papers). W. E. Tobler is often cited by papers focused on Gear and Bearing Dynamics Analysis (13 papers), Hydraulic and Pneumatic Systems (13 papers) and Electric and Hybrid Vehicle Technologies (12 papers). W. E. Tobler collaborates with scholars based in United States, France and Czechia. W. E. Tobler's co-authors include Davor Hrovat, Yuji Fujii, K. W. Wang, Hong Jiang, Ming Cao, Ming Cao, Phyllis Blumberg, Z. Menčík, Kelly Brewer and K W Wang and has published in prestigious journals such as Journal of the Franklin Institute, SAE technical papers on CD-ROM/SAE technical paper series and Journal of Mechanical Design.

In The Last Decade

W. E. Tobler

34 papers receiving 595 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. E. Tobler United States 16 436 350 334 80 69 35 665
Massimo Rundo Italy 20 920 2.1× 99 0.3× 240 0.7× 105 1.3× 69 1.0× 70 1.0k
Nicola Nervegna Italy 13 531 1.2× 57 0.2× 146 0.4× 48 0.6× 35 0.5× 48 574
C. Kral United States 16 324 0.7× 78 0.2× 569 1.7× 41 0.5× 456 6.6× 41 802
Lingfei Xiao China 11 139 0.3× 62 0.2× 297 0.9× 45 0.6× 72 1.0× 58 429
Bapiraju Surampudi United States 9 95 0.2× 248 0.7× 98 0.3× 16 0.2× 88 1.3× 26 339
F. Pirker United States 13 229 0.5× 48 0.1× 421 1.3× 32 0.4× 237 3.4× 47 541
H.P. Wang China 9 100 0.2× 71 0.2× 167 0.5× 59 0.7× 66 1.0× 13 333
Yue Ma China 12 143 0.3× 192 0.5× 93 0.3× 18 0.2× 170 2.5× 58 411
Mooncheol Won South Korea 12 115 0.3× 45 0.1× 255 0.8× 166 2.1× 56 0.8× 62 529
Cao Tan China 13 222 0.5× 106 0.3× 203 0.6× 44 0.6× 147 2.1× 50 425

Countries citing papers authored by W. E. Tobler

Since Specialization
Citations

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

Fields of papers citing papers by W. E. Tobler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. E. Tobler

This figure shows the co-authorship network connecting the top 25 collaborators of W. E. Tobler. A scholar is included among the top collaborators of W. E. Tobler 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 W. E. Tobler. W. E. Tobler 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.
Fujii, Yuji, et al.. (2006). Dynamic Characterization of Wet Friction Component under Realistic Transmission Shift Conditions. SAE technical papers on CD-ROM/SAE technical paper series. 1. 9 indexed citations
2.
Cao, Ming, et al.. (2005). Experimental Characterization and Gray-Box Modeling of Spool-Type Automotive Variable-Force-Solenoid Valves With Circular Flow Ports and Notches. Journal of Dynamic Systems Measurement and Control. 128(3). 636–654. 7 indexed citations
3.
Jiang, Hong, et al.. (2005). Dynamic Modeling and Simulation of a Dual-Clutch Automated Lay-Shaft Transmission. Journal of Mechanical Design. 127(2). 302–307. 62 indexed citations
4.
Cao, Ming, K. W. Wang, Yuji Fujii, & W. E. Tobler. (2004). A Hybrid Neural Network Approach for the Development of Friction Component Dynamic Model. Journal of Dynamic Systems Measurement and Control. 126(1). 144–153. 24 indexed citations
5.
Cao, Ming, K W Wang, Yuji Fujii, & W. E. Tobler. (2004). Advanced hybrid neural network automotive friction component model for powertrain system dynamic analysis. Part 1: Model development. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. 218(8). 831–843. 11 indexed citations
6.
Tobler, W. E., et al.. (2003). Dynamic Modeling of a Dual-Clutch Automated Lay-Shaft Transmission. 703–708. 5 indexed citations
7.
Fujii, Yuji, et al.. (2001). Prediction of wet band brake dynamic engagement behaviour Part 1: Mathematical model development. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. 215(4). 479–492. 18 indexed citations
8.
Fujii, Yuji, et al.. (2001). Prediction of wet band brake dynamic engagement behaviour Part 2: Experimental model validation. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. 215(5). 603–611. 15 indexed citations
9.
Tobler, W. E., et al.. (2000). Ratio control of traction drive continuously variable transmissions. 1525–1529 vol.3. 9 indexed citations
10.
Tobler, W. E., et al.. (2000). Stand und Entwicklungstendenzen der Feinschneidtechnik. Materialwissenschaft und Werkstofftechnik. 31(11). 972–978.
11.
Cao, Ming, K. W. Wang, Yuji Fujii, & W. E. Tobler. (2000). Neural Network Based Automotive Clutch Model for Dynamic Engagement Analysis With Variable Time Steps. 141–153. 4 indexed citations
12.
Tobler, W. E., et al.. (2000). Modeling and Simulation of Traction Drive Dynamics and Control. Journal of Mechanical Design. 123(4). 556–561. 28 indexed citations
13.
Tobler, W. E., et al.. (1999). A Systematic Model for the Analysis of Contact, Side Slip and Traction of Toroidal Drives. Journal of Mechanical Design. 122(4). 523–528. 29 indexed citations
14.
Fujii, Yuji, et al.. (1999). CFD Simulation of Steady-State Flow Forces on Spool-Type Hydraulic Valves. SAE technical papers on CD-ROM/SAE technical paper series. 1. 7 indexed citations
15.
Cao, Ming, et al.. (1999). Hybrid Neural Network for Modeling Automotive Clutches. Dynamic Systems and Control. 255–263. 1 indexed citations
16.
Hrovat, Davor & W. E. Tobler. (1991). Bond graph modeling of automotive power trains. Journal of the Franklin Institute. 328(5-6). 623–662. 73 indexed citations
17.
Tobler, W. E., et al.. (1991). Dissipative Modal Approximation of Fluid Transmission Lines Using Linear Friction Model. Journal of Dynamic Systems Measurement and Control. 113(1). 152–162. 59 indexed citations
18.
Tobler, W. E., et al.. (1985). Interactive Computer Simulation of Drivetrain Dynamics. SAE technical papers on CD-ROM/SAE technical paper series. 1. 16 indexed citations
19.
Menčík, Z., W. E. Tobler, & Phyllis Blumberg. (1978). Simulation of Wide-Open Throttle Vehicle Performance. SAE technical papers on CD-ROM/SAE technical paper series. 1. 14 indexed citations
20.
Tobler, W. E., et al.. (1975). APPLICATION OF GENERAL RIGID BODY DYNAMICS TO VEHICLE BEHAVIOR. 3 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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