Shahram Pezeshk

113 papers receiving 2.2k citations

Hit Papers

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

Peers

Shahram Pezeshk
Comparison fields: 5 of 79
  • Civil and Structural Engineering 2.0k
  • Geophysics 676
  • Computational Theory and Mathematics 260
  • Building and Construction 247
  • Statistics, Probability and Uncertainty 226
Replace Ahmed Elgamal with:
Ahmed Elgamal United States
Charles V. Camp United States
Emilio Rosenbluéth Mexico
Frank McKenna United States
A. Zerva United States
Y. K. Wen United States
Agathoklis Giaralis United Kingdom
Michalis Fragiadakis Greece
Gary C. Hart United States
Fulvio Tonon United States
Shahram Pezeshk relative to Ahmed Elgamal United States Ahmed Elgamal's profile →
Citations per field
00.5×10×14.4×
Ahmed Elgamal · 1×
Citations per year

Countries citing papers authored by Shahram Pezeshk

Since Specialization
Citations

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

Fields of papers citing papers by Shahram Pezeshk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shahram Pezeshk

This figure shows the co-authorship network connecting the top 25 collaborators of Shahram Pezeshk. A scholar is included among the top collaborators of Shahram Pezeshk 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 Shahram Pezeshk. Shahram Pezeshk 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 3
2 0
3 6
4 6
5 6
6 3
7 12
8 6
9 8
10 21
11
Study of Lg-wave Quality Factor in the Central United States from Horizontal and Vertical Recorded Earthquake Seismograms
1
12 11
13 19
14 167
15 3
16 2
17
Optimization of pumping costs for well-field water distribution systems
1
18 3
19
On-Line Optimal Control of Urban Water Supply
1
20
Optimizing Urban Ground Water Supply Systems
2

About Shahram Pezeshk

Shahram Pezeshk is a scholar working on Civil and Structural Engineering, Geophysics and Statistics, Probability and Uncertainty, having authored 124 papers that have together received 2.4k indexed citations. Recurring topics across this work include Seismic Performance and Analysis (74 papers), Structural Health Monitoring Techniques (49 papers) and Seismic Waves and Analysis (46 papers). The work is most often cited by research in Civil and Structural Engineering (2.0k citations), Geophysics (676 citations) and Statistics, Probability and Uncertainty (226 citations). Shahram Pezeshk has collaborated with scholars based in United States, Iran and Slovakia. Frequent co-authors include Charles V. Camp, Jalal Kiani, Arzhang Alimoradi, Guozhong Cao, Behrooz Tavakoli, Farzad Naeim, Christopher M. Foley, Kenneth W. Campbell, Otto J. Helweg and Ali Farhadi. Their work appears in journals such as The Science of The Total Environment, Tectonophysics and Geophysical Journal International.

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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