John W. Baugh

686 citations
57 papers · 522 · h-index 12

Impact in

Papers in

John W. Baugh

53 papers receiving 485 citations

Peers

John W. Baugh
Comparison fields: 5 of 73
  • Software 55
  • Industrial and Manufacturing Engineering 84
  • Computational Theory and Mathematics 133
  • Hardware and Architecture 49
  • Building and Construction 75
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John W. Baugh relative to Jean‐Philippe Chancelier France Jean‐Philippe Chancelier's profile →
Citations per field
00.5×4.7×
Jean‐Philippe Chancelier · 1×
Citations per year

Countries citing papers authored by John W. Baugh

Since Specialization
Citations

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

Fields of papers citing papers by John W. Baugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John W. Baugh. 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 John W. Baugh. The network helps show where John W. Baugh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199870
2 200158
3 199739
4 200038
5 199228
6 199722
7 200721
8 201821
9 202118
10 200513
11 200112
12
Object-Oriented Design of Finite Element Programs
198912
13 199611
14 199411
15 201511
16 199610
17 19879
18 20069
19 20037
20 20176

About John W. Baugh

John W. Baugh is a scholar working on Computational Theory and Mathematics, Hardware and Architecture, Software, Industrial and Manufacturing Engineering and Civil and Structural Engineering, having authored 57 papers that have together received 522 indexed citations. Recurring topics across this work include Formal Methods in Verification (10 papers), Real-Time Systems Scheduling (7 papers), Manufacturing Process and Optimization (6 papers), Model-Driven Software Engineering Techniques (6 papers), Embedded Systems Design Techniques (5 papers), Parallel Computing and Optimization Techniques (5 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Transportation Planning and Optimization (4 papers). The work is most often cited by research in Software (55 citations), Industrial and Manufacturing Engineering (84 citations), Computational Theory and Mathematics (133 citations), Hardware and Architecture (49 citations) and Building and Construction (75 citations). John W. Baugh has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include E. Downey Brill, S. Ranji Ranjithan, Daniel H. Loughlin, John Stone, Daniel R. Rehak, Abhinav Gupta, Rance Cleaveland, Prakash Kripakaran, Sujay V. Kumar and Suresh Sharma. Their work appears in journals such as Engineering With Computers, Journal of Computing in Civil Engineering, Advances in Engineering Software, Engineering Optimization and Science of Computer Programming.

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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