Juan Meza
- Materials Chemistry top 5%
- Inorganic Chemistry top 1%
- Electrical and Electronic Engineering top 10%
- Mechanical Engineering top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Co-authors
- Michaeel KaziThomas WillemsMaciej HarańczykChris H. RycroftChao YangLin‐Wang WangVaibhav DondeAli Pınar
- Topics
- Machine Learning in Materials Science (9 papers)Advanced Optimization Algorithms Research (8 papers)Matrix Theory and Algorithms (8 papers)
- Partner nations
- United StatesRussiaHong Kong
In The Last Decade
Juan Meza
46 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Materials Chemistry 1.1k
- Inorganic Chemistry 1.1k
- Electrical and Electronic Engineering 499
- Mechanical Engineering 425
- Atomic and Molecular Physics, and Optics 286
Countries citing papers authored by Juan Meza
This map shows the geographic impact of Juan Meza'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 Juan Meza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Meza more than expected).
Fields of papers citing papers by Juan Meza
This network shows the impact of papers produced by Juan Meza. 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 Juan Meza. The network helps show where Juan Meza may publish in the future.
Co-authorship network of co-authors of Juan Meza
This figure shows the co-authorship network connecting the top 25 collaborators of Juan Meza. A scholar is included among the top collaborators of Juan Meza 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 Juan Meza. Juan Meza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 8 | |
| 3 | 37 | |
| 4 | 37 | |
| 5 | 4 | |
| 6 | Algorithms and tools for high-throughput geometry-based analysis of crystalline porous materialsbreakdown → | 1459 |
| 7 | 9 | |
| 8 | 84 | |
| 9 | 2 | |
| 10 | 11 | |
| 11 | 94 | |
| 12 | 36 | |
| 13 | 12 | |
| 14 | A Constrained Optimization Algorithm for Total Energy Minimization in Electronic Structure Calculation | 0 |
| 15 | 52 | |
| 16 | Library for Nonlinear Optimization | 1 |
| 17 | Optimal heat transfer design of chemical vapor deposition reactors | 5 |
| 18 | 2 | |
| 19 | 28 | |
| 20 | 7 |
About Juan Meza
Juan Meza is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Molecular Medicine, having authored 47 papers that have together received 2.8k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (9 papers), Advanced Optimization Algorithms Research (8 papers) and Matrix Theory and Algorithms (8 papers). The work is most often cited by research in Inorganic Chemistry (1.1k citations), Materials Chemistry (1.1k citations) and Numerical Analysis (129 citations). Juan Meza has collaborated with scholars based in United States, Russia and Hong Kong. Frequent co-authors include Michaeel Kazi, Thomas Willems, Maciej Harańczyk, Chris H. Rycroft, Chao Yang, Lin‐Wang Wang, Vaibhav Donde, Ali Pınar, Bernard C. Lesieutre and Zhengji Zhao. Their work appears in journals such as PLoS ONE, Physical Review B 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.