Jason Horn
- Condensed Matter Physics top 10%
- GaN-based semiconductor devices and materials 4
-
- Radio Frequency Integrated Circuit Design 14
- Advanced Power Amplifier Design 10
- Silicon Carbide Semiconductor Technologies 7
- Advancements in Semiconductor Devices and Circuit Design 5
- Advanced MEMS and NEMS Technologies 1
-
- Neural Networks and Applications 3
-
- Model Reduction and Neural Networks 2
- Co-authors
- David E. RootDaniel GunyanJan VerspechtJianjun XuMihai MarcuOrlando De JesúsMartin HaganMasaya Iwamoto
- Journals
- tm - Technisches Messen (1 paper)IEEE Transactions on Neural Networks (1 paper)Cambridge University Press eBooks (2 papers)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Jason Horn
21 papers receiving 500 citations
Peers
Comparison fields: 5 of 40
- Condensed Matter Physics 154
- Electrical and Electronic Engineering 465
- Computational Mathematics 2
- Nuclear Energy and Engineering 1
- Control and Systems Engineering 27
Countries citing papers authored by Jason Horn
This map shows the geographic impact of Jason Horn'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 Jason Horn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Horn more than expected).
Fields of papers citing papers by Jason Horn
This network shows the impact of papers produced by Jason Horn. 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 Jason Horn. The network helps show where Jason Horn may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Jason Horn, 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 | 2013 | 32 | |
| 2 | 2013 | 48 | |
| 3 | 2013 | 2 | |
| 4 | 2012 | 11 | |
| 5 | 2011 | 1 | |
| 6 | 2010 | 1 | |
| 7 | 2010 | 15 | |
| 8 | 2010 | 39 | |
| 9 | 2010 | 26 | |
| 10 | 2010 | 48 | |
| 11 | 2009 | 48 | |
| 12 | 2009 | 21 | |
| 13 | 2009 | 17 | |
| 14 | 2008 | 17 | |
| 15 | 2008 | 34 | |
| 16 | 2008 | 72 | |
| 17 | 2007 | 16 | |
| 18 | 2007 | 42 | |
| 19 | 2005 | 1 | |
| 20 | 2002 | 20 |
About Jason Horn
Jason Horn is a scholar working on Condensed Matter Physics, Electrical and Electronic Engineering and Statistical and Nonlinear Physics, having authored 21 papers that have together received 520 indexed citations. Recurring topics across this work include Radio Frequency Integrated Circuit Design (14 papers), Advanced Power Amplifier Design (10 papers), Silicon Carbide Semiconductor Technologies (7 papers), Advancements in Semiconductor Devices and Circuit Design (5 papers), GaN-based semiconductor devices and materials (4 papers), Neural Networks and Applications (3 papers), Model Reduction and Neural Networks (2 papers) and Advanced MEMS and NEMS Technologies (1 paper). The work is most often cited by research in Condensed Matter Physics (154 citations), Electrical and Electronic Engineering (465 citations) and Computational Mathematics (2 citations). Jason Horn has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include David E. Root, Daniel Gunyan, Jan Verspecht, Jianjun Xu, Mihai Marcu, Orlando De Jesús, Martin Hagan, Masaya Iwamoto, A. Cognata and M. Iwamoto. Their work appears in journals such as tm - Technisches Messen, IEEE Transactions on Neural Networks and Cambridge University Press eBooks.
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.