Mojtaba Mozaffar

1.7k citations
13 papers · 1.2k · 1 hit paper · h-index 10

Impact in

Papers in

    • Additive Manufacturing Materials and Processes 6
    • Metal Forming Simulation Techniques 3
    • Injection Molding Process and Properties 3
    • Advanced machining processes and optimization 2
    • Additive Manufacturing and 3D Printing Technologies 6

Mojtaba Mozaffar

13 papers receiving 1.2k citations

Mojtaba Mozaffar's Hit Papers

Deep learning predicts path-dependent plasticity 2019 · 440 citations
4400+2+4Years since publication100200300400

Peers

Mojtaba Mozaffar
Comparison fields: 5 of 73
  • Automotive Engineering 280
  • Mechanical Engineering 683
  • Statistical and Nonlinear Physics 222
  • Mechanics of Materials 422
  • Industrial and Manufacturing Engineering 170
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Orion L. Kafka United States
Zhengtao Gan United States
Jacob Hochhalter United States
Sourav Saha Bangladesh
Paul A. Meehan Australia
Jiaying Gao United States
Hiroyuki Sugiyama Japan
Hengyang Li China
Zhencai Zhu China
Akash Gupta India
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Citations per field
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Citations per year

Countries citing papers authored by Mojtaba Mozaffar

Since Specialization
Citations

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

Fields of papers citing papers by Mojtaba Mozaffar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mojtaba Mozaffar, 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 Mojtaba Mozaffar Line = papers co-authored together Mojtaba Mozaffar links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Deep learning predicts path-dependent plasticity
Hit paper breakdown →
2019440
2 2020218
3 2018184
4 2018153
5 202194
6 202151
7 201932
8 202424
9 202315
10 201911
11 20189
12 20227
13 20226

About Mojtaba Mozaffar

Mojtaba Mozaffar is a scholar working on Mechanical Engineering, Automotive Engineering, Industrial and Manufacturing Engineering, Mechanics of Materials and Materials Chemistry, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Additive Manufacturing Materials and Processes (6 papers), Additive Manufacturing and 3D Printing Technologies (6 papers), Manufacturing Process and Optimization (4 papers), Metallurgy and Material Forming (3 papers), Metal Forming Simulation Techniques (3 papers), Injection Molding Process and Properties (3 papers), Machine Learning in Materials Science (2 papers) and Advanced machining processes and optimization (2 papers). The work is most often cited by research in Automotive Engineering (280 citations), Mechanical Engineering (683 citations), Statistical and Nonlinear Physics (222 citations), Mechanics of Materials (422 citations) and Industrial and Manufacturing Engineering (170 citations). Mojtaba Mozaffar has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Jian Cao, Kornel F. Ehmann, Miguel A. Bessa, Ramin Bostanabad, Maysam B. Gorji, Julian N. Heidenreich, Dirk Mohr, Sarah J. Wolff, Shuheng Liao and Wing Kam Liu. Their work appears in journals such as Computational Mechanics, Additive manufacturing, CIRP Annals, Journal of Manufacturing Science and Engineering and Manufacturing Letters.

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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