C.C. Hayes

29 papers receiving 333 citations

Peers

C.C. Hayes
Comparison fields: 5 of 73
  • Industrial and Manufacturing Engineering 132
  • Management of Technology and Innovation 66
  • Management Information Systems 35
  • Management Science and Operations Research 43
  • Software 12
Replace Jay Glicksman with:
Jay Glicksman United States
T. Govindaraj United States
Andrés Gómez de Silva Garza Mexico
Fernando Mas Spain
Xiaoqing Frank Liu United States
J. L. Nevins United States
Ahad Ali United States
Vincent Cheutet France
Bufan Liu Singapore
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Citations per year

Countries citing papers authored by C.C. Hayes

Since Specialization
Citations

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

Fields of papers citing papers by C.C. Hayes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199963
2 199656
3 199943
4 200221
5 199921
6 200519
7 199516
8 200416
9 199613
10 200211
11 199610
12 199810
13 19978
14 19978
15 19897
16 20026
17 20016
18
FOX-GA: A Planning Support Tool for Assisting Military Planners in a Dynamic and Uncertain Environment
20034
19 20024
20 20024

About C.C. Hayes

C.C. Hayes is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering, Management of Technology and Innovation, Mechanical Engineering and Social Psychology, having authored 34 papers that have together received 365 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (13 papers), Product Development and Customization (10 papers), Design Education and Practice (9 papers), AI-based Problem Solving and Planning (9 papers), BIM and Construction Integration (4 papers), Data Management and Algorithms (3 papers), Human-Automation Interaction and Safety (3 papers) and Semantic Web and Ontologies (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (132 citations), Management of Technology and Innovation (66 citations), Management Information Systems (35 citations), Management Science and Operations Research (43 citations) and Software (12 citations). C.C. Hayes has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Gek Woo Tan, David E. Goldberg, Michael J. Shaw, Daniel Gaines, Jonathan Corney, Paul Wright, Michael Parzen, V. Sundararajan, Janet A. Sniezek and Ole J. Mengshoel. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Robotics and Automation, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans, IEEE Transactions on Engineering Management and Journal of Intelligent Manufacturing.

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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