PM Braiden

522 citations
17 papers · 365 · h-index 8

Impact in

Papers in

PM Braiden

16 papers receiving 331 citations

Peers

PM Braiden
Comparison fields: 5 of 57
  • Industrial and Manufacturing Engineering 204
  • Management Information Systems 83
  • Management of Technology and Innovation 42
  • Management Science and Operations Research 69
  • Strategy and Management 46
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Biman K. Ghosh United States
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Citations per field
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Citations per year

Countries citing papers authored by PM Braiden

Since Specialization
Citations

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

Fields of papers citing papers by PM Braiden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside PM Braiden, 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 PM Braiden Line = papers co-authored together PM Braiden links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2002106
2 200365
3 200042
4 200734
5 197529
6 200129
7 200324
8 19777
9 19937
10
Using Genetic Algorithms for scheduling the production of capital goods
20007
11 19826
12 19803
13
Overcoming complexity via statistical thinking: optimising genetic algorithms for use in complex scheduling problems via designed experiments
20023
14 19911
15
Assessing knowledge management activities in the design and manufacture of engineered-to-order capital goods
20001
16
Sparse experimental design: an effective an efficient way discovering better genetic algorithm structures
20011
17 19980

About PM Braiden

PM Braiden is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering, Management Information Systems, Mechanics of Materials and Management of Technology and Innovation, having authored 17 papers that have together received 365 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (5 papers), Metaheuristic Optimization Algorithms Research (3 papers), Evolutionary Algorithms and Applications (3 papers), Product Development and Customization (3 papers), Assembly Line Balancing Optimization (2 papers), Advanced materials and composites (2 papers), Advanced Manufacturing and Logistics Optimization (2 papers) and Manufacturing Process and Optimization (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (204 citations), Management Information Systems (83 citations), Management of Technology and Innovation (42 citations), Management Science and Operations Research (69 citations) and Strategy and Management (46 citations). PM Braiden has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Chris Hicks, Pupong Pongcharoen, Colin Herron, M. C. Shaw, Neil Alderman, Alfred Thwaites, Bryan Wright, R. W. Davidge, Robert Ian Whitfield and John Simmons. Their work appears in journals such as International Journal of Production Economics, International Journal of Production Research, European Journal of Operational Research, Journal of the Mechanics and Physics of Solids and Journal of Materials Science.

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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