Ehsan Haghighat

42 papers receiving 2.3k citations

Ehsan Haghighat's Hit Papers

Physics-informed neural network simulation of multiphase poroelasticity using stress-split sequential training 2022 · 111 citations
1110+2+4Years since publication250500750

Peers

Ehsan Haghighat
Comparison fields: 5 of 100
  • Statistical and Nonlinear Physics 1.1k
  • Mechanics of Materials 694
  • Statistics, Probability and Uncertainty 187
  • Civil and Structural Engineering 561
  • Computational Mechanics 420
Replace Somdatta Goswami with:
Somdatta Goswami United States
Zhicheng Wang China
WaiChing Sun United States
Minglang Yin United States
Phaedon‐Stelios Koutsourelakis Germany
Qizhi He United States
Dunhui Xiao China
Han Gao United States
Yinhao Zhu United States
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Countries citing papers authored by Ehsan Haghighat

Since Specialization
Citations

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

Fields of papers citing papers by Ehsan Haghighat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ehsan Haghighat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ehsan Haghighat Line = papers co-authored together Ehsan Haghighat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A physics-informed deep learning framework for inversion and surrogate modeling in solid mechanics
Hit paper breakdown →
2021780
2
SciANN: A Keras/TensorFlow wrapper for scientific computations and physics-informed deep learning using artificial neural networks
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2020297
3
Physics-informed neural network for modelling the thermochemical curing process of composite-tool systems during manufacture
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2021220
4
PINNeik: Eikonal solution using physics-informed neural networks
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2021138
5
Physics-informed neural network simulation of multiphase poroelasticity using stress-split sequential training
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2022111
6 2021107
7 201493
8 201257
9 202150
10 202250
11 202341
12 201137
13 201536
14 201532
15 202331
16 202031
17 202327
18 202326
19 202223
20 202020

About Ehsan Haghighat

Ehsan Haghighat is a scholar working on Mechanics of Materials, Statistical and Nonlinear Physics, Civil and Structural Engineering, Computational Mechanics and Mechanical Engineering, having authored 43 papers that have together received 2.4k indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (20 papers), Numerical methods in engineering (16 papers), Rock Mechanics and Modeling (10 papers), Dam Engineering and Safety (7 papers), Geotechnical Engineering and Underground Structures (6 papers), Drilling and Well Engineering (5 papers), Seismic Imaging and Inversion Techniques (5 papers) and Seismic Waves and Analysis (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.1k citations), Mechanics of Materials (694 citations), Statistics, Probability and Uncertainty (187 citations), Civil and Structural Engineering (561 citations) and Computational Mechanics (420 citations). Ehsan Haghighat has collaborated with scholars based in United States, Canada and Iran. Frequent co-authors include Rubén Juanes, Adrian Moure, Héctor Gómez, Maziar Raissi, A.R. Khoei, Umair bin Waheed, S. Pietruszczak, M. Vahab, Erdogan Madenci and Trevor Campbell. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, International Journal of Solids and Structures, Journal of Engineering Mechanics, Engineering Fracture Mechanics 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.

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