Chad M. Landis
- Mechanics of Materials top 0.05%
- Materials Chemistry top 2%
- Mechanical Engineering top 1%
- Biomedical Engineering top 2%
- Computational Mechanics top 0.5%
- Co-authors
- Michael J. BordenThomas J.R. HughesRobert M. McMeekingClemens V. VerhooselMichael A. ScottRui HuangYu SuStelios Kyriakides
- Topics
- Numerical methods in engineering (34 papers)Composite Material Mechanics (22 papers)Shape Memory Alloy Transformations (21 papers)
- Partner nations
- United StatesGermanySpain
In The Last Decade
Chad M. Landis
106 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Mechanics of Materials 4.6k
- Materials Chemistry 2.3k
- Mechanical Engineering 1.6k
- Biomedical Engineering 1.3k
- Computational Mechanics 1.3k
Countries citing papers authored by Chad M. Landis
This map shows the geographic impact of Chad M. Landis'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 Chad M. Landis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad M. Landis more than expected).
Fields of papers citing papers by Chad M. Landis
This network shows the impact of papers produced by Chad M. Landis. 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 Chad M. Landis. The network helps show where Chad M. Landis may publish in the future.
Co-authorship network of co-authors of Chad M. Landis
This figure shows the co-authorship network connecting the top 25 collaborators of Chad M. Landis. A scholar is included among the top collaborators of Chad M. Landis 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 Chad M. Landis. Chad M. Landis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 11 | |
| 3 | 2 | |
| 4 | 18 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 14 | |
| 8 | 30 | |
| 9 | 14 | |
| 10 | An isogeometric finite element formulation for phase fields on deforming surfaces | 2 |
| 11 | 65 | |
| 12 | 49 | |
| 13 | 56 | |
| 14 | 46 | |
| 15 | 71 | |
| 16 | A higher-order phase-field model for brittle fracture: Formulation and analysis within the isogeometric analysis frameworkbreakdown → | 441 |
| 17 | 63 | |
| 18 | 13 | |
| 19 | Crack velocity dependent toughness in rate dependent materials | 81 |
| 20 | Self-consistent and phenomenological constitutive models for ferroelectric ceramics | 3 |
About Chad M. Landis
Chad M. Landis is a scholar working on Mechanics of Materials, Molecular Medicine and Materials Chemistry, having authored 110 papers that have together received 6.9k indexed citations. Recurring topics across this work include Numerical methods in engineering (34 papers), Composite Material Mechanics (22 papers) and Shape Memory Alloy Transformations (21 papers). The work is most often cited by research in Mechanics of Materials (4.6k citations), Computational Mechanics (1.3k citations) and Materials Chemistry (2.3k citations). Chad M. Landis has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Michael J. Borden, Thomas J.R. Hughes, Robert M. McMeeking, Clemens V. Verhoosel, Michael A. Scott, Rui Huang, Yu Su, Stelios Kyriakides, Dongjie Jiang and Irene J. Beyerlein. Their work appears in journals such as Journal of Applied Physics, Acta Materialia and Journal of Computational Physics.
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.