Mahmoud Bayat

2.9k citations
146 papers · 2.4k indexed · h-index 29
Topics
Fractional Differential Equations Solutions (39 papers)Structural Health Monitoring Techniques (25 papers)Seismic Performance and Analysis (23 papers)
Partner nations
IranUnited StatesChina

In The Last Decade

Mahmoud Bayat

136 papers receiving 2.0k citations

Peers

Mahmoud Bayat
Comparison fields: 5 of 109
  • Civil and Structural Engineering 1.1k
  • Mechanics of Materials 650
  • Modeling and Simulation 543
  • Biomedical Engineering 419
  • Mechanical Engineering 331
Replace Antonio Campo with:
Antonio Campo United States
T. Tran‐Cong Australia
K. Murugesan India
G. Domairry Iran
Antonina Pirrotta Italy
A.Y.T. Leung Hong Kong
Liming Dai Canada
Jian Su Brazil
Amin Barari Denmark
L. Cvetićanin Serbia
Mahmoud Bayat relative to Antonio Campo United States Antonio Campo's profile →
Citations per field
00.5×9.4×
Antonio Campo · 1×
Citations per year

Countries citing papers authored by Mahmoud Bayat

Since Specialization
Citations

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

Fields of papers citing papers by Mahmoud Bayat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahmoud Bayat

This figure shows the co-authorship network connecting the top 25 collaborators of Mahmoud Bayat. A scholar is included among the top collaborators of Mahmoud Bayat 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 Mahmoud Bayat. Mahmoud Bayat 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 9
3 12
4 5
5 9
6 9
7 3
8 2
9 8
10 14
11 26
12
Analytical periodic solution for solving nonlinear vibration equations
0
13
Analytical study on the non-linear vibration of Euler-Bernoulli beams
28
14
ON THE RECENT DEVELOPMENT OF SOME ASYMPTOTIC METHODS FOR NONLINEAR VIBRATION EQUATIONS
11
15 34
16 16
17 18
18 27
19 1
20 3

About Mahmoud Bayat

Mahmoud Bayat is a scholar working on Modeling and Simulation, Civil and Structural Engineering and Numerical Analysis, having authored 146 papers that have together received 2.4k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (39 papers), Structural Health Monitoring Techniques (25 papers) and Seismic Performance and Analysis (23 papers). The work is most often cited by research in Modeling and Simulation (543 citations), Civil and Structural Engineering (1.1k citations) and Numerical Analysis (229 citations). Mahmoud Bayat has collaborated with scholars based in Iran, United States and China. Frequent co-authors include Iman Pakar, Paul Ziehl, Shahrokh Shahhosseini, Li Ai, Maosen Cao, Zhongqing Su, Yufeng Zhang, Nizar Faisal Alkayem, Wen‐Cheng Liao and Hamid Reza Ahmadi. Their work appears in journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and Energy Conversion and Management.

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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