J. Salajegheh

36 papers receiving 639 citations

Peers

J. Salajegheh
Comparison fields: 5 of 67
  • Civil and Structural Engineering 524
  • Computational Theory and Mathematics 129
  • Artificial Intelligence 120
  • Mechanics of Materials 90
  • Statistics, Probability and Uncertainty 90
Replace Pooya Zakian with:
Pooya Zakian Iran
Bahman Farahmand Azar Iran
Mohsen Khatibinia Iran
Letícia Fleck Fadel Miguel Brazil
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J. Salajegheh relative to Pooya Zakian Iran Pooya Zakian's profile →
Citations per field
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Citations per year

Countries citing papers authored by J. Salajegheh

Since Specialization
Citations

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

Fields of papers citing papers by J. Salajegheh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Salajegheh

This figure shows the co-authorship network connecting the top 25 collaborators of J. Salajegheh. A scholar is included among the top collaborators of J. Salajegheh 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 J. Salajegheh. J. Salajegheh 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 40
2 50
3 17
4 33
5 8
6 4
7
OPTIMAL SENSOR PLACEMENT FOR DAMAGE DETECTION BASED ON A NEW GEOMETRICAL VIEWPOINT
4
8 13
9
PREDICTION OF FAILURE PROBABILITY FOR SOILSTRUCTURE INTERACTION SYSTEM USING MODIFIED ANFIS BY HYBRID OF FCM-FPSO
10
10 72
11
TOPOLOGY OPTIMIZATION OF DOUBLE LAYER GRIDS FOR EARTHQUAKE LOADS USING A TWO-STAGE ESO-ACO METHOD
5
12
OPTIMAL SHAPE DESIGN OF GRAVITY DAMS BASED ON A HYBRID META-HERURISTIC METHOD AND WEIGHTED LEAST SQUARES SUPPORT VECTOR MACHINE
8
13
A TWO-STAGE SIMP-ACO METHOD FOR RELIABILITY-BASED TOPOLOGY OPTIMIZATION OF DOUBLE LAYER GRIDS
5
14 19
15 7
16
Optimal Design of Geometrically Nonlinear Space Trusses Using an Adaptive Neuro-Fuzzy Inference System
25
17 26
18 46
19 31
20 1

About J. Salajegheh

J. Salajegheh is a scholar working on Civil and Structural Engineering, Statistics, Probability and Uncertainty and Computational Theory and Mathematics, having authored 38 papers that have together received 682 indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (17 papers), Topology Optimization in Engineering (14 papers) and Advanced Multi-Objective Optimization Algorithms (9 papers). The work is most often cited by research in Civil and Structural Engineering (524 citations), Statistics, Probability and Uncertainty (90 citations) and Computational Theory and Mathematics (129 citations). J. Salajegheh has collaborated with scholars based in Iran. Frequent co-authors include Eysa Salajegheh, M.J. Fadaee, S.M. Seyedpoor, Mohsen Khatibinia, Saeed Gholizadeh, Peyman Torkzadeh, ‪Mohammadreza Mashayekhi and Mohammad Heydari. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Journal of Sound and Vibration and Applied Soft Computing.

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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