H. Craig Howard

20 papers receiving 316 citations

Peers

H. Craig Howard
Comparison fields: 5 of 55
  • Building and Construction 155
  • Industrial and Manufacturing Engineering 95
  • Mechanical Engineering 84
  • Artificial Intelligence 78
  • Management Science and Operations Research 68
Replace Ajit Pardasani with:
Ajit Pardasani Canada
F.P. Tolman Netherlands
Jens G. Pohl United States
Peter Katranuschkov Germany
Raphaël Barbau United States
Alain Zarli France
Fujun Wang China
Rob Howard Denmark
Michael K. Painter United States
Xenia Fiorentini United States
H. Craig Howard relative to Ajit Pardasani Canada Ajit Pardasani's profile →
Citations per field
00.5×3.4×
Ajit Pardasani · 1×
Citations per year

Countries citing papers authored by H. Craig Howard

Since Specialization
Citations

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

Fields of papers citing papers by H. Craig Howard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. Craig Howard. 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 H. Craig Howard. The network helps show where H. Craig Howard may publish in the future.

Co-authorship network of co-authors of H. Craig Howard

This figure shows the co-authorship network connecting the top 25 collaborators of H. Craig Howard. A scholar is included among the top collaborators of H. Craig Howard 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 H. Craig Howard. H. Craig Howard 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 0
2
Constraint Management on Distributed AEC Configurations
1
3
Versions, Configurations, and Constraints in CEDB
2
4 8
5 4
6 7
7 3
8
Constraint Management in Distributed AEC Databases
3
9
An Integrated Representation of Form, Function and Behavior in Structural Engineering
1
10
Linking Design Data with Knowledge-Based Construction Systems
13
11 56
12 37
13 5
14
Primitive-Composite Approach for Structural Data
3
15 10
16 127
17 34
18 5
19
KADBASE: a prototype expert system-database interface for integrated CAE environments
4
20
THE COST OF CARE
1

About H. Craig Howard

H. Craig Howard is a scholar working on Software, Building and Construction and Architecture, having authored 22 papers that have together received 343 indexed citations. Recurring topics across this work include BIM and Construction Integration (9 papers), Semantic Web and Ontologies (7 papers) and Manufacturing Process and Optimization (6 papers). The work is most often cited by research in Building and Construction (155 citations), Industrial and Manufacturing Engineering (95 citations) and Software (32 citations). H. Craig Howard has collaborated with scholars based in United States, Brazil and Taiwan. Frequent co-authors include Ana Cristina Bicharra García, Daniel R. Rehak, Raymond E. Levitt, C. B. Tatum, Boyd C. Paulson, Jens G. Pohl, Jamal A. Abdalla, Mark Stefik, Ashish Gupta and Karthik Krishnamurthy. Their work appears in journals such as Computer-Aided Design, Journal of Computing in Civil Engineering and Engineering With Computers.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026