Ehsan Haghighat

3.2k citations
41 papers · 2.1k indexed · 4 hit papers · h-index 19

Impact in

Papers in

Ehsan Haghighat

37 papers receiving 2.1k citations

Hit Papers

PINNeik: Eikonal solution using physics-informed neural networks 2021 · 122 citations
1222020202620222024200400600

Peers

Ehsan Haghighat
Comparison fields: 5 of 101
  • Statistical and Nonlinear Physics 1.0k
  • Mechanics of Materials 659
  • Civil and Structural Engineering 535
  • Statistics, Probability and Uncertainty 171
  • Computational Mechanics 400
Replace Somdatta Goswami with:
Somdatta Goswami United States
Zhicheng Wang China
Minglang Yin United States
WaiChing Sun United States
Phaedon‐Stelios Koutsourelakis Germany
Qizhi He United States
Dunhui Xiao China
Han Gao United States
Yinhao Zhu United States
Ehsan Haghighat relative to Somdatta Goswami United States Somdatta Goswami's profile →
Citations per field
00.5×4.3×
Somdatta Goswami · 1×
Citations per year

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-authorship network

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
#Work
1 20250
2 20240
3 20249
4 20240
5 20241
6 202324
7 202327
8 202336
9 202222
10 20218
11 20214
12
A physics-informed deep learning framework for inversion and surrogate modeling in solid mechanics
Hit paper breakdown →
2021685
13 202118
14
A deep learning framework for solution and discovery in solid mechanics: linear elasticity.
202013
15 202029
16 202018
17 20154
18 201532
19 201512
20 201136

About Ehsan Haghighat

Ehsan Haghighat is a scholar working on Statistical and Nonlinear Physics, Mechanics of Materials, Civil and Structural Engineering, Numerical Analysis and Computational Mechanics, having authored 41 papers that have together received 2.1k indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (19 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 (4 papers) and Hydraulic Fracturing and Reservoir Analysis (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.0k citations), Mechanics of Materials (659 citations), Civil and Structural Engineering (535 citations), Statistics, Probability and Uncertainty (171 citations) and Computational Mechanics (400 citations). Ehsan Haghighat has collaborated with scholars based in United States, Canada and Iran. Frequent co-authors include Rubén Juanes, Héctor Gómez, Adrian Moure, Maziar Raissi, A.R. Khoei, S. Pietruszczak, M. Vahab, Umair bin Waheed, Sina Amini Niaki and Reza Vaziri. 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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