Kai A. James

69 papers receiving 952 citations

Peers

Kai A. James
Comparison fields: 5 of 61
  • Civil and Structural Engineering 697
  • Computational Theory and Mathematics 312
  • Mechanics of Materials 481
  • Statistics, Probability and Uncertainty 62
  • Industrial and Manufacturing Engineering 81
Replace Michaël Bruyneel with:
Michaël Bruyneel Belgium
H. Alicia Kim United States
Claus Pedersen Denmark
Sheng Chu China
Nico P. van Dijk Sweden
Renato Picelli Brazil
Liang Xia China
Joshua D. Deaton United States
M. Zhou United States
T. Birker Germany
Kai A. James relative to Michaël Bruyneel Belgium Michaël Bruyneel's profile →
Citations per field
00.5×1.6×
Michaël Bruyneel · 1×
Citations per year

Countries citing papers authored by Kai A. James

Since Specialization
Citations

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

Fields of papers citing papers by Kai A. James

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai A. James. 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 Kai A. James. The network helps show where Kai A. James may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012101
2 201369
3 201467
4 201463
5 201649
6 201237
7 200935
8 201932
9 201830
10 201728
11 201427
12 201126
13 198725
14 202022
15 201921
16 201819
17 202117
18 201914
19 201814
20 202114

About Kai A. James

Kai A. James is a scholar working on Civil and Structural Engineering, Mechanics of Materials, Computational Theory and Mathematics, Mechanical Engineering and Aerospace Engineering, having authored 72 papers that have together received 972 indexed citations. Recurring topics across this work include Topology Optimization in Engineering (46 papers), Composite Structure Analysis and Optimization (26 papers), Advanced Multi-Objective Optimization Algorithms (22 papers), Manufacturing Process and Optimization (6 papers), Probabilistic and Robust Engineering Design (6 papers), Piezoelectric Actuators and Control (6 papers), VLSI and FPGA Design Techniques (5 papers) and Composite Material Mechanics (5 papers). The work is most often cited by research in Civil and Structural Engineering (697 citations), Computational Theory and Mathematics (312 citations), Mechanics of Materials (481 citations), Statistics, Probability and Uncertainty (62 citations) and Industrial and Manufacturing Engineering (81 citations). Kai A. James has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include Haim Waisman, Joaquim R. R. A. Martins, Edmund Lee, Graeme Kennedy, R.W. James, James T. Allison, J. S. Hansen, Diab Abueidda, Daniel A. Tortorelli and D. White. Their work appears in journals such as Journal of Mechanical Design, Structural and Multidisciplinary Optimization, International Journal for Numerical Methods in Engineering, Computer Methods in Applied Mechanics and Engineering and Journal of Aircraft.

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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