William Smith

507 total citations
26 papers, 391 citations indexed

About

William Smith is a scholar working on Civil and Structural Engineering, Aerospace Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, William Smith has authored 26 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Civil and Structural Engineering, 6 papers in Aerospace Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in William Smith's work include Soil Mechanics and Vehicle Dynamics (8 papers), Robotics and Sensor-Based Localization (5 papers) and Robotic Path Planning Algorithms (4 papers). William Smith is often cited by papers focused on Soil Mechanics and Vehicle Dynamics (8 papers), Robotics and Sensor-Based Localization (5 papers) and Robotic Path Planning Algorithms (4 papers). William Smith collaborates with scholars based in United States, Canada and United Kingdom. William Smith's co-authors include Huei Peng, Zhenzhong Jia, Denise Rizzo, Kira Barton, Matthew P. Castanier, Lauro Ojeda, Daniel Melanz, Carmine Senatore, Karl Iagnemma and Bo Fu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Robotics and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

William Smith

23 papers receiving 374 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 Smith United States 11 221 101 80 60 59 26 391
Krzysztof Skonieczny Canada 13 317 1.4× 216 2.1× 113 1.4× 74 1.2× 161 2.7× 58 552
Hassan Shibly United States 5 400 1.8× 231 2.3× 31 0.4× 86 1.4× 214 3.6× 8 540
D. Rubinstein Israel 13 581 2.6× 389 3.9× 179 2.2× 27 0.5× 40 0.7× 26 747
P. Bellutta United States 8 111 0.5× 58 0.6× 22 0.3× 187 3.1× 83 1.4× 16 433
Zhiqiang Feng China 12 85 0.4× 103 1.0× 66 0.8× 30 0.5× 35 0.6× 44 373
R. Lindemann United States 9 201 0.9× 154 1.5× 24 0.3× 92 1.5× 182 3.1× 22 455
Masatsugu Otsuki Japan 15 192 0.9× 152 1.5× 57 0.7× 75 1.3× 128 2.2× 110 632
Ramón González United States 14 234 1.1× 126 1.2× 13 0.2× 162 2.7× 145 2.5× 21 543
Konstantinos Nikas Greece 14 70 0.3× 43 0.4× 173 2.2× 27 0.5× 32 0.5× 33 621
Man Liu China 9 132 0.6× 91 0.9× 56 0.7× 54 0.9× 86 1.5× 42 411

Countries citing papers authored by William Smith

Since Specialization
Citations

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

Fields of papers citing papers by William Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Smith

This figure shows the co-authorship network connecting the top 25 collaborators of William Smith. A scholar is included among the top collaborators of William Smith 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 Smith. William Smith 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.
Fu, Bo, William Smith, Denise Rizzo, et al.. (2022). Robust Task Scheduling for Heterogeneous Robot Teams Under Capability Uncertainty. IEEE Transactions on Robotics. 39(2). 1087–1105. 24 indexed citations
2.
Pandey, Vijitashwa, Jeremy P. Bos, Thomas Oommen, et al.. (2021). Decision-Making for Autonomous Mobility Using Remotely Sensed Terrain Parameters in Off-Road Environments. SAE International Journal of Advances and Current Practices in Mobility. 3(4). 1682–1689. 2 indexed citations
3.
Bos, Jeremy P., et al.. (2021). Supervised Terrain Classification with Adaptive Unsupervised Terrain Assessment. SAE International Journal of Advances and Current Practices in Mobility. 3(5). 2337–2344. 3 indexed citations
4.
Ojeda, Lauro, et al.. (2020). Power Prediction for Heterogeneous Ground Robots Through Spatial Mapping and Sharing of Terrain Data. IEEE Robotics and Automation Letters. 5(2). 1579–1586. 7 indexed citations
5.
Ojeda, Lauro, et al.. (2019). Off‐road ground robot path energy cost prediction through probabilistic spatial mapping. Journal of Field Robotics. 37(3). 421–439. 33 indexed citations
6.
Ojeda, Lauro, et al.. (2019). Chance constrained reachability in environments with spatially varying energy costs. Robotics and Autonomous Systems. 119. 1–12. 9 indexed citations
7.
Mason, George L., et al.. (2019). An overview of methods to convert cone index to bevameter parameters. Journal of Terramechanics. 87. 1–9. 15 indexed citations
8.
Smith, William. (2018). Scheduling stored combat load retrieval. SHILAP Revista de lepidopterología. 2(2). 80–93.
9.
Ojeda, Lauro, et al.. (2017). An energy-efficient method for multi-robot reconnaissance in an unknown environment. 2279–2284. 15 indexed citations
10.
11.
Smith, William, Daniel Melanz, Carmine Senatore, Karl Iagnemma, & Huei Peng. (2014). Comparison of discrete element method and traditional modeling methods for steady-state wheel-terrain interaction of small vehicles. Journal of Terramechanics. 56. 61–75. 50 indexed citations
12.
Smith, William & Huei Peng. (2013). Modeling of wheel–soil interaction over rough terrain using the discrete element method. Journal of Terramechanics. 50(5-6). 277–287. 86 indexed citations
13.
Jia, Zhenzhong, William Smith, & Huei Peng. (2011). Fast computation of wheel-soil interactions for safe and efficient operation of mobile robots. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 7 indexed citations
14.
Jia, Zhenzhong, William Smith, & Huei Peng. (2011). Terramechanics-based wheel–terrain interaction model and its applications to off-road wheeled mobile robots. Robotica. 30(3). 491–503. 31 indexed citations
15.
Jayakumar, Paramsothy, et al.. (2011). DEVELOPMENT OF HIGH FIDELITY MOBILITY SIMULATION OF AN AUTONOMOUS VEHICLE IN AN OFF-ROAD SCENARIO USING INTEGRATED SENSOR, CONTROLLER, AND MULTI-BODY DYNAMICS. SAE technical papers on CD-ROM/SAE technical paper series. 1. 3 indexed citations
16.
Jia, Zhenzhong, William Smith, & Huei Peng. (2011). Fast computation of wheel-soil interactions for safe and efficient operation of mobile robots. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 3004–3010. 6 indexed citations
17.
Cooper, Barbara Acheson, et al.. (2000). Canine Visceral Leishmaniasis in Sicily. Military Medicine. 165(1). 29–32. 18 indexed citations
18.
Hess, David, William E. Faller, William Smith, & Thomas Huang. (1999). Neural networks as virtual sensors. 37th Aerospace Sciences Meeting and Exhibit. 10 indexed citations
19.
Smith, William, et al.. (1993). Profile Changes of Rock Slopes by Irregular Waves. Coastal Engineering 1992. 1(23). 1559–1572. 19 indexed citations
20.
Smith, William, et al.. (1981). Development of the Free-Fall Penetrometer. 2. 678–682. 7 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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