Scott Smith

44 papers receiving 354 citations

Peers

Scott Smith
Comparison fields: 5 of 97
  • Analytical Chemistry 163
  • Transportation 53
  • Electrochemistry 49
  • Instrumentation 26
  • Health, Toxicology and Mutagenesis 81
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John Grant United States
Jun Yoshinaga Japan
Shuang Zhou China
Yejin Li China
Rod Barratt United Kingdom
Jonas Sjöblom Sweden
Huimin Han China
Takeo Adachi Japan
Karen D. Oliver United States
H. Knöppel Italy
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Citations per year

Countries citing papers authored by Scott Smith

Since Specialization
Citations

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

Fields of papers citing papers by Scott Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Scott Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Scott Smith Line = papers co-authored together Scott Smith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198660
2 198247
3 197744
4 198436
5 200718
6 198215
7 201315
8
Benefits Estimation Framework for Automated Vehicle Operations
201513
9 201412
10 200612
11
LOCOMOTIVE SCHEDULING UNDER UNCERTAIN DEMAND
198911
12 201811
13 198211
14
Analysis of Uncertainty in ETMS Aggregate Demand Predictions
200510
15 201910
16 20117
17 20226
18 19826
19 19875
20 19875

About Scott Smith

Scott Smith is a scholar working on Automotive Engineering, Building and Construction, Transportation, Spectroscopy and Analytical Chemistry, having authored 50 papers that have together received 418 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (11 papers), Transportation Planning and Optimization (10 papers), Analytical chemistry methods development (9 papers), Transportation and Mobility Innovations (8 papers), Air Traffic Management and Optimization (8 papers), Traffic control and management (8 papers), Aviation Industry Analysis and Trends (7 papers) and Mass Spectrometry Techniques and Applications (6 papers). The work is most often cited by research in Analytical Chemistry (163 citations), Transportation (53 citations), Electrochemistry (49 citations), Instrumentation (26 citations) and Health, Toxicology and Mutagenesis (81 citations). Scott Smith has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Ira S. Krull, Diane S. Bushee, Robert G. Schleicher, Eugene Gilbo, Richard Savage, G. M. MacAlpine, David Lewis, Yossi Sheffi, Brian Thom and Moshe Ben‐Akiva. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Analytical Letters, Journal of Intelligent Transportation Systems, The Astrophysical Journal Supplement Series and Antiquity.

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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