L.K. Keys

44 papers receiving 629 citations

Peers

L.K. Keys
Comparison fields: 5 of 90
  • Industrial and Manufacturing Engineering 92
  • Management of Technology and Innovation 58
  • Polymers and Plastics 103
  • Materials Chemistry 319
  • Safety, Risk, Reliability and Quality 61
Replace Ankur Agrawal with:
Ankur Agrawal United States
Wenbo Yu China
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David I. Bigio United States
Jianchun Xu China
Hongquan Jiang China
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L.K. Keys relative to Ankur Agrawal United States Ankur Agrawal's profile →
Citations per field
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Citations per year

Countries citing papers authored by L.K. Keys

Since Specialization
Citations

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

Fields of papers citing papers by L.K. Keys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.K. Keys. 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 L.K. Keys. The network helps show where L.K. Keys may publish in the future.

Co-authors

The 20 scholars most cited alongside L.K. Keys, 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 L.K. Keys Line = papers co-authored together L.K. Keys links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197095
2 196867
3 196766
4 199657
5 199055
6 199229
7 196629
8 200826
9 196722
10 196718
11 196717
12 196915
13 196914
14 196714
15 198713
16 196413
17 199711
18 197511
19 198811
20 19919

About L.K. Keys

L.K. Keys is a scholar working on Materials Chemistry, Industrial and Manufacturing Engineering, Safety, Risk, Reliability and Quality, Electrical and Electronic Engineering and Mechanical Engineering, having authored 51 papers that have together received 685 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (13 papers), Technology Assessment and Management (11 papers), Fusion materials and technologies (8 papers), Mechatronics Education and Applications (6 papers), Systems Engineering Methodologies and Applications (6 papers), Product Development and Customization (6 papers), Nuclear Materials and Properties (5 papers) and Advanced Memory and Neural Computing (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (92 citations), Management of Technology and Innovation (58 citations), Polymers and Plastics (103 citations), Materials Chemistry (319 citations) and Safety, Risk, Reliability and Quality (61 citations). L.K. Keys has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include J. Moteff, L. N. Mulay, James P. Smith, Jennifer C. Lovejoy, Andrea Sparti, Curtis R. Partington, George A. Bray, Wasfy B. Mikhael, T. Warren Liao and Robert Hirschfeld. Their work appears in journals such as Journal of Applied Physics, Computers & Industrial Engineering, Journal of the American Chemical Society, Physics Letters A and IEEE Journal of Solid-State Circuits.

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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