Paul Witherell

2.8k citations
102 papers · 2.0k indexed · 1 hit paper · h-index 25

Impact in

Papers in

Paul Witherell

98 papers receiving 2.0k citations

Hit Papers

Research and application of machine learning for additive manufacturing 2022 · 265 citations
265202220262023202450100150200250

Peers

Paul Witherell
Comparison fields: 5 of 93
  • Industrial and Manufacturing Engineering 1.2k
  • Automotive Engineering 1.2k
  • Mechanical Engineering 1.3k
  • Management of Technology and Innovation 75
  • Building and Construction 116
Replace Qiang Huang with:
Qiang Huang United States
Yan Lu United States
Ramy Harik United States
Alexios Papacharalampopoulos Greece
Yicha Zhang France
Kari Tammi Finland
Jill Urbanic Canada
J. Balič Slovenia
M. V. A. Raju Bahubalendruni India
Benjamin Schleich Germany
Paul Witherell relative to Qiang Huang United States Qiang Huang's profile →
Citations per field
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Qiang Huang · 1×
Citations per year

Countries citing papers authored by Paul Witherell

Since Specialization
Citations

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

Fields of papers citing papers by Paul Witherell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Research and application of machine learning for additive manufacturing
Hit paper breakdown →
2022265
2 2019129
3 2020110
4 201490
5 201973
6 201569
7 201666
8 200659
9 201456
10 201955
11 202055
12 202050
13 201750
14 201742
15 202139
16 201534
17 202130
18 201730
19 202329
20 202128

About Paul Witherell

Paul Witherell is a scholar working on Automotive Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering, Artificial Intelligence and Information Systems, having authored 102 papers that have together received 2.0k indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (74 papers), Manufacturing Process and Optimization (64 papers), Additive Manufacturing Materials and Processes (58 papers), Semantic Web and Ontologies (13 papers), Service-Oriented Architecture and Web Services (8 papers), Industrial Vision Systems and Defect Detection (6 papers), Design Education and Practice (5 papers) and Business Process Modeling and Analysis (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (1.2k citations), Automotive Engineering (1.2k citations), Mechanical Engineering (1.3k citations), Management of Technology and Innovation (75 citations) and Building and Construction (116 citations). Paul Witherell has collaborated with scholars based in United States, South Korea and France. Frequent co-authors include Yan Lu, Shaw C. Feng, Gaurav Ameta, David W. Rosen, Timothy W. Simpson, Hyunwoong Ko, Sundar Krishnamurty, Ian R. Grosse, Robert R. Lipman and Samyeon Kim. Their work appears in journals such as Journal of Computing and Information Science in Engineering, Additive manufacturing, Journal of Mechanical Design, Journal of Manufacturing Science and Engineering and IEEE Robotics and Automation Letters.

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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