Mark J. Jakiela

39 papers receiving 866 citations

Peers

Mark J. Jakiela
Comparison fields: 5 of 75
  • Civil and Structural Engineering 470
  • Computational Theory and Mathematics 279
  • Mechanical Engineering 245
  • Industrial and Manufacturing Engineering 223
  • Mechanics of Materials 165
Replace Kikuo FUJITA with:
Kikuo FUJITA Japan
Gary A. Gabriele United States
Gianfranco La Rocca Netherlands
Masataka Yoshimura Japan
Robert D. Logcher United States
Marin D. Guenov United Kingdom
Timoleon Kipouros United Kingdom
Michael A. Yukish United States
Johan Ölvander Sweden
Hsu‐Pin Wang United States
Mark J. Jakiela relative to Kikuo FUJITA Japan Kikuo FUJITA's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mark J. Jakiela

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. Jakiela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark J. Jakiela

This figure shows the co-authorship network connecting the top 25 collaborators of Mark J. Jakiela. A scholar is included among the top collaborators of Mark J. Jakiela based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark J. Jakiela. Mark J. Jakiela is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Contribution Attribution As the Possible Next Step for “Crowdsourced” Engineering Design and Product Development
1
2 6
3 4
4 10
5 171
6 38
7
On Classes of One-dimensional Self-assembling Automata
3
8 5
9 42
10 28
11 9
12 10
13 9
14 35
15 2
16 2
17 2
18 6
19 3
20 1

About Mark J. Jakiela

Mark J. Jakiela is a scholar working on Industrial and Manufacturing Engineering, Architecture and Computer Graphics and Computer-Aided Design, having authored 40 papers that have together received 967 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (18 papers), Design Education and Practice (11 papers) and Product Development and Customization (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (223 citations), Civil and Structural Engineering (470 citations) and Computational Theory and Mathematics (279 citations). Mark J. Jakiela has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Kazuhiro Saitou, David R. Wallace, Karl T. Ulrich, Woodie C. Flowers, Panos Y. Papalambros, Ali Nekouzadeh, Rakesh Gupta, Amit Srivastava, Nicola Senin and Wanda J. Orlikowski. Their work appears in journals such as Management Science, Computer Methods in Applied Mechanics and Engineering and Journal of Mechanical Design.

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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