Dan Hammerstrom
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Neural Networks and Reservoir Computing
Papers in
-
- Neural Networks and Applications 14
- Neural Networks and Reservoir Computing 5
-
- Advanced Memory and Neural Computing 13
- CCD and CMOS Imaging Sensors 7
- Ferroelectric and Negative Capacitance Devices 5
- Co-authors
- Edward S. Davidson (1 shared paper)Wolfgang Porod (1 shared paper)George I. Bourianoff (1 shared paper)Tadashi Shibata (1 shared paper)György Csaba (1 shared paper)Ian A. Young (1 shared paper)Dmitri E. Nikonov (1 shared paper)Diana Marculescu (1 shared paper)
- Journals
- IEEE Transactions on Nanotechnology (2 papers)Neural Networks (1 paper)Artificial Intelligence Review (1 paper)Computer (1 paper)ACM SIGPLAN Notices (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Dan Hammerstrom
39 papers receiving 946 citations
Peers
Comparison fields: 5 of 104
- Hardware and Architecture 168
- Artificial Intelligence 428
- Electrical and Electronic Engineering 485
- Computer Networks and Communications 191
- Signal Processing 67
Countries citing papers authored by Dan Hammerstrom
This map shows the geographic impact of Dan Hammerstrom'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 Dan Hammerstrom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Hammerstrom more than expected).
Fields of papers citing papers by Dan Hammerstrom
This network shows the impact of papers produced by Dan Hammerstrom. 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 Dan Hammerstrom. The network helps show where Dan Hammerstrom may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Hammerstrom, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 170 | |
| 2 | 1993 | 166 | |
| 3 | 1990 | 139 | |
| 4 | 2015 | 113 | |
| 5 | 2007 | 60 | |
| 6 | 1977 | 52 | |
| 7 | 2007 | 38 | |
| 8 | 1977 | 35 | |
| 9 | 1996 | 34 | |
| 10 | 2008 | 28 | |
| 11 | 1982 | 26 | |
| 12 | 2016 | 26 | |
| 13 | 1990 | 19 | |
| 14 | Digital VLSI for neural networks | 1998 | 17 |
| 15 | 2010 | 12 | |
| 16 | 2009 | 11 | |
| 17 | 2002 | 10 | |
| 18 | The connectivity analysis of simple association –or– how many connections do you need | 1988 | 9 |
| 19 | 2003 | 9 | |
| 20 | 2004 | 8 |
About Dan Hammerstrom
Dan Hammerstrom is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Hardware and Architecture, Computer Networks and Communications and Cognitive Neuroscience, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural Networks and Applications (14 papers), Advanced Memory and Neural Computing (13 papers), CCD and CMOS Imaging Sensors (7 papers), Parallel Computing and Optimization Techniques (6 papers), Neural Networks and Reservoir Computing (5 papers), Ferroelectric and Negative Capacitance Devices (5 papers), Neural dynamics and brain function (5 papers) and Analog and Mixed-Signal Circuit Design (3 papers). The work is most often cited by research in Hardware and Architecture (168 citations), Artificial Intelligence (428 citations), Electrical and Electronic Engineering (485 citations), Computer Networks and Communications (191 citations) and Signal Processing (67 citations). Dan Hammerstrom has collaborated with scholars based in United States and Japan. Frequent co-authors include Edward S. Davidson, Wolfgang Porod, George I. Bourianoff, Tadashi Shibata, György Csaba, Ian A. Young, Dmitri E. Nikonov, Diana Marculescu, Alex Orailoğlu and William H. Joyner. Their work appears in journals such as IEEE Transactions on Nanotechnology, Neural Networks, Artificial Intelligence Review, Computer and ACM SIGPLAN Notices.
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.