Charles V. Camp

63 papers receiving 2.4k citations

Hit Papers

On the application of machine learning techniques to deri...2019202620212023201950100150200

Peers

Charles V. Camp
Comparison fields: 5 of 114
  • Civil and Structural Engineering 1.8k
  • Computational Theory and Mathematics 811
  • Artificial Intelligence 611
  • Building and Construction 390
  • Statistics, Probability and Uncertainty 253
Replace Saeed Gholizadeh with:
Saeed Gholizadeh Iran
Gebrai̇l Bekdaş Türkiye
Leandro Fleck Fadel Miguel Brazil
Rafael Holdorf Lopez Brazil
Shahram Pezeshk United States
Giuseppe Carlo Marano Italy
James T. P. Yao United States
Eysa Salajegheh Iran
Sinan Melih Niğdeli Türkiye
Taha Bakhshpoori Iran
Charles V. Camp relative to Saeed Gholizadeh Iran Saeed Gholizadeh's profile →
Citations per field
00.5×1.5×1.8×
Saeed Gholizadeh · 1×
Citations per year

Countries citing papers authored by Charles V. Camp

Since Specialization
Citations

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

Fields of papers citing papers by Charles V. Camp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles V. Camp. 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 Charles V. Camp. The network helps show where Charles V. Camp may publish in the future.

Co-authorship network of co-authors of Charles V. Camp

This figure shows the co-authorship network connecting the top 25 collaborators of Charles V. Camp. A scholar is included among the top collaborators of Charles V. Camp 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 Charles V. Camp. Charles V. Camp 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 4
2 12
3 36
4 10
5 9
6
On the application of machine learning techniques to derive seismic fragility curvesbreakdown →
230
7 8
8 100
9 219
10 1
11 3
12
COMPOSITE FRAME DESIGN USING A GENETIC ALGORITHM
2
13 17
14 0
15 21
16 3
17 24
18 1
19 4
20
Solution of the Nonhomogeneous Biharmonic Equation by the Boundary Element Method
2

About Charles V. Camp

Charles V. Camp is a scholar working on Architecture, Civil and Structural Engineering and Geochemistry and Petrology, having authored 66 papers that have together received 2.6k indexed citations. Recurring topics across this work include Topology Optimization in Engineering (19 papers), Structural Health Monitoring Techniques (11 papers) and Advanced Multi-Objective Optimization Algorithms (11 papers). The work is most often cited by research in Civil and Structural Engineering (1.8k citations), Computational Theory and Mathematics (811 citations) and Statistics, Probability and Uncertainty (253 citations). Charles V. Camp has collaborated with scholars based in United States, Iran and Pakistan. Frequent co-authors include Shahram Pezeshk, Barron Bichon, Jalal Kiani, Guozhong Cao, Mohsen Maniat, Alper Akın, Ali R. Kashani, Amir H. Gandomi, Afaq Ahmad and Junaid Mir. Their work appears in journals such as Expert Systems with Applications, International Journal for Numerical Methods in Engineering and Journal of Animal 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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2026