Jake Graser
Impact in
- Materials Chemistry top 10%
- Machine Learning in Materials Science
- Luminescence Properties of Advanced Materials
- X-ray Diffraction in Crystallography
Papers in
-
- Machine Learning in Materials Science 4
- X-ray Diffraction in Crystallography 3
- Luminescence Properties of Advanced Materials 1
-
- Computational Drug Discovery Methods 2
- Co-authors
- Taylor D. Sparks (7 shared papers)Steven K. Kauwe (3 shared papers)Ryan Murdock (1 shared paper)Michael J. O’Connell (1 shared paper)Ran Zhao (1 shared paper)Chengwei Wang (1 shared paper)Fei Gao (1 shared paper)Yuan Wang (1 shared paper)
- Journals
- ACS Nano (1 paper)Advances in Applied Ceramics Structural Functional and Bioceramics (1 paper)Advanced Engineering Materials (1 paper)Ceramics International (1 paper)ACS Applied Materials & Interfaces (1 paper)
- Partner nations
- United StatesJordanBrazil
In The Last Decade
Jake Graser
8 papers receiving 615 citations
Peers
Comparison fields: 5 of 70
- Acoustics and Ultrasonics 9
- Materials Chemistry 449
- Ceramics and Composites 38
- Electronic, Optical and Magnetic Materials 94
- Computational Theory and Mathematics 76
Countries citing papers authored by Jake Graser
This map shows the geographic impact of Jake Graser'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 Jake Graser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jake Graser more than expected).
Fields of papers citing papers by Jake Graser
This network shows the impact of papers produced by Jake Graser. 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 Jake Graser. The network helps show where Jake Graser may publish in the future.
Co-authors
The 19 scholars most cited alongside Jake Graser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 169 | |
| 2 | 2018 | 139 | |
| 3 | 2013 | 95 | |
| 4 | 2019 | 84 | |
| 5 | 2018 | 83 | |
| 6 | 2019 | 37 | |
| 7 | 2018 | 18 | |
| 8 | 2024 | 1 |
About Jake Graser
Jake Graser is a scholar working on Materials Chemistry, Computational Theory and Mathematics, Electrical and Electronic Engineering, Mechanics of Materials and Ocean Engineering, having authored 8 papers that have together received 626 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (4 papers), X-ray Diffraction in Crystallography (3 papers), Computational Drug Discovery Methods (2 papers), Drilling and Well Engineering (1 paper), Advancements in Battery Materials (1 paper), Hydrocarbon exploration and reservoir analysis (1 paper), Calcium Carbonate Crystallization and Inhibition (1 paper) and Luminescence Properties of Advanced Materials (1 paper). The work is most often cited by research in Acoustics and Ultrasonics (9 citations), Materials Chemistry (449 citations), Ceramics and Composites (38 citations), Electronic, Optical and Magnetic Materials (94 citations) and Computational Theory and Mathematics (76 citations). Jake Graser has collaborated with scholars based in United States, Jordan and Brazil. Frequent co-authors include Taylor D. Sparks, Steven K. Kauwe, Ryan Murdock, Michael J. O’Connell, Ran Zhao, Chengwei Wang, Fei Gao, Yuan Wang, Guillaume Lheureux and Clayton Cozzan. Their work appears in journals such as ACS Nano, Advances in Applied Ceramics Structural Functional and Bioceramics, Advanced Engineering Materials, Ceramics International and ACS Applied Materials & Interfaces.
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.