Matthew San Jose
- Electrical and Electronic Engineering
- Materials Chemistry
- Artificial Intelligence
- Biomedical Engineering
- Hardware and Architecture
- Co-authors
- Suman DattaHuacheng YeShimeng YuSourav DuttaAbhishek KhannaWriddhi ChakrabortyBenjamin GrisafeIan V. Lightcap
- Topics
- Ferroelectric and Negative Capacitance Devices (9 papers)Advanced Memory and Neural Computing (7 papers)Semiconductor materials and devices (5 papers)
- Journals
- IEEE Transactions on Electron Devices2021 IEEE International Electron Devices Meeting (IEDM)2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits)
- Partner nations
- United StatesIndia
In The Last Decade
Matthew San Jose
9 papers receiving 241 citations
Peers
Comparison fields: 5 of 22
- Electrical and Electronic Engineering 236
- Materials Chemistry 58
- Artificial Intelligence 21
- Biomedical Engineering 16
- Hardware and Architecture 15
Countries citing papers authored by Matthew San Jose
This map shows the geographic impact of Matthew San Jose'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 Matthew San Jose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew San Jose more than expected).
Fields of papers citing papers by Matthew San Jose
This network shows the impact of papers produced by Matthew San Jose. 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 Matthew San Jose. The network helps show where Matthew San Jose may publish in the future.
Co-authorship network of co-authors of Matthew San Jose
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew San Jose. A scholar is included among the top collaborators of Matthew San Jose 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 Matthew San Jose. Matthew San Jose is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 50 | |
| 2 | 5 | |
| 3 | 12 | |
| 4 | Higher-k Zirconium Doped Hafnium Oxide (HZO) Trigate Transistors with Higher DC and RF Performance and Improved Reliability | 1 |
| 5 | 10 | |
| 6 | 19 | |
| 7 | 34 | |
| 8 | 17 | |
| 9 | 96 |
About Matthew San Jose
Matthew San Jose is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Materials Chemistry, having authored 9 papers that have together received 244 indexed citations. Recurring topics across this work include Ferroelectric and Negative Capacitance Devices (9 papers), Advanced Memory and Neural Computing (7 papers) and Semiconductor materials and devices (5 papers). The work is most often cited by research in Electrical and Electronic Engineering (236 citations), Hardware and Architecture (15 citations) and Materials Chemistry (58 citations). Matthew San Jose has collaborated with scholars based in United States and India. Frequent co-authors include Suman Datta, Huacheng Ye, Shimeng Yu, Sourav Dutta, Abhishek Khanna, Wriddhi Chakraborty, Benjamin Grisafe, Ian V. Lightcap, Yuan-Chun Luo and Subhash L. Shindé. Their work appears in journals such as IEEE Transactions on Electron Devices, 2021 IEEE International Electron Devices Meeting (IEDM) and 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits).
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.