Michael W. Sayers

2.4k total citations
66 papers, 1.6k citations indexed

About

Michael W. Sayers is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Automotive Engineering. According to data from OpenAlex, Michael W. Sayers has authored 66 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Civil and Structural Engineering, 27 papers in Mechanical Engineering and 25 papers in Automotive Engineering. Recurrent topics in Michael W. Sayers's work include Infrastructure Maintenance and Monitoring (28 papers), Vehicle Dynamics and Control Systems (25 papers) and Soil Mechanics and Vehicle Dynamics (16 papers). Michael W. Sayers is often cited by papers focused on Infrastructure Maintenance and Monitoring (28 papers), Vehicle Dynamics and Control Systems (25 papers) and Soil Mechanics and Vehicle Dynamics (16 papers). Michael W. Sayers collaborates with scholars based in United States, Canada and United Kingdom. Michael W. Sayers's co-authors include T D Gillespie, Steven M. Karamihas, William D O Paterson, L Segel, David Cebon, Nadeem Ehsan, C C MacAdam, Thomas Gillespie, Paul S. Fancher and J. Karl Hedrick and has published in prestigious journals such as SAE technical papers on CD-ROM/SAE technical paper series, Computers & Structures and Journal of Guidance Control and Dynamics.

In The Last Decade

Michael W. Sayers

57 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael W. Sayers United States 20 1.2k 642 370 164 119 66 1.6k
Stefano Melzi Italy 18 308 0.3× 621 1.0× 532 1.4× 228 1.4× 41 0.3× 79 1.1k
Giuseppe Loprencipe Italy 22 1.1k 0.9× 350 0.5× 114 0.3× 55 0.3× 221 1.9× 75 1.4k
T D Gillespie United States 18 1.7k 1.4× 1.5k 2.3× 2.1k 5.7× 688 4.2× 94 0.8× 71 3.3k
Lu Sun United States 31 2.2k 1.9× 933 1.5× 328 0.9× 510 3.1× 364 3.1× 122 3.2k
Xuefei Wang China 26 1.3k 1.1× 172 0.3× 152 0.4× 185 1.1× 89 0.7× 64 2.0k
Ankit Gupta India 23 1.1k 0.9× 256 0.4× 108 0.3× 245 1.5× 413 3.5× 128 1.8k
Herbert Martins Gomes Brazil 17 844 0.7× 249 0.4× 72 0.2× 96 0.6× 69 0.6× 85 1.4k
Yangtao Li China 21 689 0.6× 179 0.3× 131 0.4× 63 0.4× 42 0.4× 49 1.1k
Arturo González Ireland 30 2.7k 2.3× 1.6k 2.5× 104 0.3× 210 1.3× 95 0.8× 129 3.1k
Karim Chatti United States 21 1.5k 1.2× 493 0.8× 108 0.3× 44 0.3× 193 1.6× 137 1.7k

Countries citing papers authored by Michael W. Sayers

Since Specialization
Citations

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

Fields of papers citing papers by Michael W. Sayers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael W. Sayers

This figure shows the co-authorship network connecting the top 25 collaborators of Michael W. Sayers. A scholar is included among the top collaborators of Michael W. Sayers 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 Michael W. Sayers. Michael W. Sayers 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.
Sayers, Michael W., et al.. (2026). The effect of nonlinear suspension kinematics on the simulated pitching and rolling dynamic behavior of cars. Vehicle System Dynamics. 41(1). 23–32.
2.
Robertson, John D., et al.. (1998). Example Utilization of Truck Tire Characteristics Data in Vehicle Dynamics Simulations. SAE technical papers on CD-ROM/SAE technical paper series. 1. 4 indexed citations
3.
Sayers, Michael W.. (1996). Interpretation of road roughness profile data. Final report. Deep Blue (University of Michigan). 12 indexed citations
4.
Sayers, Michael W.. (1995). ON THE CALCULATION OF INTERNATIONAL ROUGHNESS INDEX FROM LONGITUDINAL ROAD PROFILE. Transportation Research Record Journal of the Transportation Research Board. 43(1501). 1–12. 178 indexed citations
5.
Gillespie, T D, et al.. (1993). EFFECTS OF HEAVY-VEHICLE CHARACTERISTICS ON PAVEMENT RESPONSE AND PERFORMANCE. Deep Blue (University of Michigan). 165 indexed citations
6.
Sayers, Michael W. & Paul S. Fancher. (1993). HIERARCHY OF SYMBOLIC COMPUTER-GENERATED REAL-TIME VEHICLE DYNAMICS MODELS. Transportation Research Record Journal of the Transportation Research Board. 88–97. 3 indexed citations
7.
Sayers, Michael W.. (1990). PROFILES OF ROUGHNESS. Transportation Research Record Journal of the Transportation Research Board. 21 indexed citations
8.
Sayers, Michael W., et al.. (1990). CHRYSLER/UMTRI WIND-STEER VEHICLE SIMULATION--USER'S MANUAL, VERSION 1.4. VOLUME I. Deep Blue (University of Michigan). 1. 1 indexed citations
9.
Sayers, Michael W.. (1990). Symbolic computer methods to automatically formulate vehicle simulation codes.. Deep Blue (University of Michigan). 22 indexed citations
10.
Sayers, Michael W.. (1989). TWO QUARTER-CAR MODELS FOR DEFINING ROAD ROUGHNESS: IRI AND HRI. Transportation Research Record Journal of the Transportation Research Board. 37 indexed citations
11.
Sayers, Michael W., et al.. (1987). USERS MANUAL FOR THE UMTRI/FHWA ROAD PROFILING (PRORUT) SYSTEM. 1 indexed citations
12.
Sayers, Michael W., et al.. (1986). THE INTERNATIONAL ROAD ROUGHNESS EXPERIMENT: A BASIS FOR ESTABLISHING A STANDARD SCALE FOR ROAD ROUGHNESS MEASUREMENTS. Transportation Research Record Journal of the Transportation Research Board. 39 indexed citations
13.
Sayers, Michael W.. (1986). The International Road Roughness Experiment (IRRE) : establishing correlation and a calibration standard for measurements. World Bank eBooks. 1. 136 indexed citations
14.
Gillespie, T D, William D O Paterson, & Michael W. Sayers. (1986). GUIDELINES FOR CONDUCTING AND CALIBRATING ROAD ROUGHNESS MEASUREMENTS. 1–98. 175 indexed citations
15.
Sayers, Michael W.. (1986). VEHICLE OFFTRACKING MODELS. Transportation Research Record Journal of the Transportation Research Board. 7 indexed citations
16.
Gillespie, T D & Michael W. Sayers. (1981). ROLE OF ROAD ROUGHNESS IN VEHICLE RIDE. Transportation Research Record Journal of the Transportation Research Board. 836(836). 15–20. 9 indexed citations
17.
Sayers, Michael W. & T D Gillespie. (1981). Better method for measuring pavement roughness with road meters. Transportation Research Record Journal of the Transportation Research Board. 836(836). 35–41. 2 indexed citations
18.
Sayers, Michael W. & T D Gillespie. (1981). Overview of road meter operation in measuring pavement roughness, with suggested improvements. Transportation Research Record Journal of the Transportation Research Board. 836. 29–35. 1 indexed citations
19.
Sayers, Michael W. & T D Gillespie. (1981). OVERVIEW OF ROAD METER OPERATION IN MEASURING PAVEMENT ROUGHNESS, WITH SUGGESTED IMPROVEMENTS (ABRIDGMENT). Transportation Research Record Journal of the Transportation Research Board. 1 indexed citations
20.
Gillespie, T D, Michael W. Sayers, & L Segel. (1980). CALIBRATION OF RESPONSE-TYPE ROAD ROUGHNESS MEASURING SYSTEMS. Deep Blue (University of Michigan). 76 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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