Gerald Baumgartner
Impact in
- Computational Mathematics top 2%
- Tensor decomposition and applications
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
Papers in
-
- Quantum Information and Cryptography 19
- Quantum Computing Algorithms and Architecture 12
-
- Parallel Computing and Optimization Techniques 22
- Co-authors
- Mario Lauria (4 shared papers)P. Sadayappan (19 shared papers)J. Ramanujam (18 shared papers)Daniel Cociorva (11 shared papers)Chi‐Chung Lam (14 shared papers)Alan L. Migdall (4 shared papers)F. E. Becerra (4 shared papers)J. Goldhar (5 shared papers)
- Journals
- Physical review. A (2 papers)Journal of Parallel and Distributed Computing (2 papers)IEEE Access (2 papers)Physical Review A (1 paper)Applied Sciences (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Gerald Baumgartner
58 papers receiving 956 citations
Peers
Comparison fields: 5 of 67
- Computational Mathematics 74
- Hardware and Architecture 307
- Computer Networks and Communications 380
- Acoustics and Ultrasonics 15
- Artificial Intelligence 392
Countries citing papers authored by Gerald Baumgartner
This map shows the geographic impact of Gerald Baumgartner'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 Gerald Baumgartner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald Baumgartner more than expected).
Fields of papers citing papers by Gerald Baumgartner
This network shows the impact of papers produced by Gerald Baumgartner. 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 Gerald Baumgartner. The network helps show where Gerald Baumgartner may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerald Baumgartner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 113 | |
| 2 | 2005 | 108 | |
| 3 | 2006 | 101 | |
| 4 | 2005 | 72 | |
| 5 | 2011 | 51 | |
| 6 | 2017 | 48 | |
| 7 | 2002 | 36 | |
| 8 | 2004 | 35 | |
| 9 | 2002 | 33 | |
| 10 | 2002 | 32 | |
| 11 | 2005 | 31 | |
| 12 | 2015 | 25 | |
| 13 | 2009 | 24 | |
| 14 | 2016 | 24 | |
| 15 | 1995 | 19 | |
| 16 | 2001 | 19 | |
| 17 | 2013 | 18 | |
| 18 | 2000 | 16 | |
| 19 | 2002 | 15 | |
| 20 | 2003 | 15 |
About Gerald Baumgartner
Gerald Baumgartner is a scholar working on Artificial Intelligence, Hardware and Architecture, Computer Networks and Communications, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 63 papers that have together received 1.0k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (22 papers), Quantum Information and Cryptography (19 papers), Quantum Mechanics and Applications (15 papers), Distributed and Parallel Computing Systems (13 papers), Quantum Computing Algorithms and Architecture (12 papers), Advanced Data Storage Technologies (8 papers), Advanced NMR Techniques and Applications (5 papers) and Peer-to-Peer Network Technologies (5 papers). The work is most often cited by research in Computational Mathematics (74 citations), Hardware and Architecture (307 citations), Computer Networks and Communications (380 citations), Acoustics and Ultrasonics (15 citations) and Artificial Intelligence (392 citations). Gerald Baumgartner has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Mario Lauria, P. Sadayappan, J. Ramanujam, Daniel Cociorva, Chi‐Chung Lam, Alan L. Migdall, F. E. Becerra, J. Goldhar, Jingyun Fan and David E. Bernholdt. Their work appears in journals such as Physical review. A, Journal of Parallel and Distributed Computing, IEEE Access, Physical Review A and Applied Sciences.
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.