Mark T. Smith

133 papers receiving 3.4k citations

Peers

Mark T. Smith
Comparison fields: 5 of 178
  • Nephrology 293
  • Hematology 451
  • Automotive Engineering 423
  • Genetics 302
  • Computer Vision and Pattern Recognition 511
Replace Wei Tu with:
Wei Tu China
Yi Gong China
Takuro Yonezawa Japan
Julie A. Adams United States
Yanan Zheng China
Andrzej Maćkiewicz Poland
Xiaoming Jin China
David A. Nix United States
Zhi Wei United States
Steven J. Simske United States
Mark T. Smith relative to Wei Tu China Wei Tu's profile →
Citations per field
00.5×12.2×
Wei Tu · 1×
Citations per year

Countries citing papers authored by Mark T. Smith

Since Specialization
Citations

This map shows the geographic impact of Mark T. 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 Mark T. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark T. Smith more than expected).

Fields of papers citing papers by Mark T. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark T. 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 Mark T. Smith Line = papers co-authored together Mark T. Smith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993225
2 2011177
3 2006154
4 2009150
5 2010149
6 2014138
7 2015122
8 2017103
9 201398
10 201395
11 200887
12 201486
13 200979
14 201473
15 200667
16 201764
17 201062
18 202054
19 201351
20 201850

About Mark T. Smith

Mark T. Smith is a scholar working on Mechanical Engineering, Computer Vision and Pattern Recognition, Mechanics of Materials, Molecular Biology and Materials Chemistry, having authored 138 papers that have together received 3.6k indexed citations. Recurring topics across this work include Metallurgy and Material Forming (15 papers), Metal Forming Simulation Techniques (14 papers), Microstructure and mechanical properties (10 papers), Autonomous Vehicle Technology and Safety (7 papers), Iron Metabolism and Disorders (7 papers), Interactive and Immersive Displays (6 papers), RNA and protein synthesis mechanisms (6 papers) and Multimedia Communication and Technology (6 papers). The work is most often cited by research in Nephrology (293 citations), Hematology (451 citations), Automotive Engineering (423 citations), Genetics (302 citations) and Computer Vision and Pattern Recognition (511 citations). Mark T. Smith has collaborated with scholars based in United States, Sweden and Australia. Frequent co-authors include Bradley C. Bundy, Amol Borkar, M.H. Hayes, Jo Crotty, John P. Buonaccorsi, David I. King, Richard M. DeGraaf, Mohammad A. Khaleel, Amin S. M. Salehi and G.J. Grant. Their work appears in journals such as Journal of Materials Processing Technology, Biotechnology Progress, SAE technical papers on CD-ROM/SAE technical paper series, Computer and Metallurgical and Materials Transactions A.

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.

Explore authors with similar magnitude of impact