Dan Hammerstrom

1.6k total citations
42 papers, 1.1k citations indexed

About

Dan Hammerstrom is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Hardware and Architecture. According to data from OpenAlex, Dan Hammerstrom has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 20 papers in Electrical and Electronic Engineering and 8 papers in Hardware and Architecture. Recurrent topics in Dan Hammerstrom's work include Neural Networks and Applications (14 papers), Advanced Memory and Neural Computing (13 papers) and CCD and CMOS Imaging Sensors (7 papers). Dan Hammerstrom is often cited by papers focused on Neural Networks and Applications (14 papers), Advanced Memory and Neural Computing (13 papers) and CCD and CMOS Imaging Sensors (7 papers). Dan Hammerstrom collaborates with scholars based in United States and Japan. Dan Hammerstrom's co-authors include Edward S. Davidson, Tadashi Shibata, George I. Bourianoff, Dmitri E. Nikonov, Wolfgang Porod, György Csaba, Ian A. Young, C. Geoffrey Lau, Alex Orailoğlu and William H. Joyner and has published in prestigious journals such as Proceedings of the IEEE, Computer and Neurocomputing.

In The Last Decade

Dan Hammerstrom

39 papers receiving 946 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dan Hammerstrom United States 14 485 428 191 168 101 42 1.1k
Karim Mohammadi Iran 14 329 0.7× 202 0.5× 126 0.7× 94 0.6× 94 0.9× 90 818
Chengjun Wu China 6 307 0.6× 135 0.3× 116 0.6× 119 0.7× 35 0.3× 12 726
Xin Fu United States 18 487 1.0× 210 0.5× 308 1.6× 286 1.7× 50 0.5× 116 989
Tajana Rosing United States 24 1.1k 2.3× 545 1.3× 300 1.6× 301 1.8× 17 0.2× 95 1.6k
KyungHi Chang Taiwan 20 860 1.8× 202 0.5× 288 1.5× 39 0.2× 31 0.3× 146 1.5k
Tarek El‐Ghazawi United States 19 181 0.4× 285 0.7× 641 3.4× 474 2.8× 33 0.3× 61 1.4k
Sheng Lin China 26 1.3k 2.8× 356 0.8× 227 1.2× 218 1.3× 12 0.1× 85 2.2k
Liu Liu China 18 543 1.1× 298 0.7× 356 1.9× 126 0.8× 14 0.1× 60 1.3k
Haoyu Yang Hong Kong 21 859 1.8× 304 0.7× 35 0.2× 278 1.7× 43 0.4× 76 1.4k
Steven R. Young United States 13 204 0.4× 400 0.9× 53 0.3× 27 0.2× 31 0.3× 36 741

Countries citing papers authored by Dan Hammerstrom

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Dan Hammerstrom

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Hammerstrom. A scholar is included among the top collaborators of Dan Hammerstrom 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 Dan Hammerstrom. Dan Hammerstrom is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nikonov, Dmitri E., György Csaba, Wolfgang Porod, et al.. (2015). Coupled-Oscillator Associative Memory Array Operation for Pattern Recognition. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 1. 85–93. 113 indexed citations
2.
Hammerstrom, Dan, et al.. (2010). Performance/price estimates for cortex-scale hardware: A design space exploration. Neural Networks. 24(3). 291–304. 12 indexed citations
3.
Hammerstrom, Dan, et al.. (2009). CMOL/CMOS Implementations of Bayesian Polytree Inference: Digital and Mixed-Signal Architectures and Performance/Price. IEEE Transactions on Nanotechnology. 9(2). 194–211. 11 indexed citations
4.
Hammerstrom, Dan, et al.. (2008). CMOS / CMOL architectures for spiking cortical column. 47. 2441–2448. 5 indexed citations
5.
Hammerstrom, Dan. (2005). Artificial neural networks, where do we go next?. 4. 2989–2990. 3 indexed citations
6.
Hammerstrom, Dan, et al.. (2004). Platform performance comparison of PALM network on Pentium 4 and FPGA. 2. 995–1000. 8 indexed citations
7.
Arnold, Matthew, et al.. (2004). Neural systems integration. Neurocomputing. 58-60. 1123–1128. 2 indexed citations
8.
Baker, Thomas E. & Dan Hammerstrom. (2003). Characterization of artificial neural network algorithms. 78–81. 8 indexed citations
9.
Hammerstrom, Dan. (2002). Computational neurobiology meets semiconductor engineering. 3–12. 10 indexed citations
10.
Hammerstrom, Dan, et al.. (2002). A neural network systems component. IEEE International Conference on Neural Networks. 5. 1258–1264. 2 indexed citations
11.
Hammerstrom, Dan, et al.. (2002). Piriform model execution on a neurocomputer. i. 575–580.
12.
Hammerstrom, Dan. (1998). Digital VLSI for neural networks. MIT Press eBooks. 304–309. 17 indexed citations
13.
Hammerstrom, Dan, et al.. (1996). Image processing using one-dimensional processor arrays. Proceedings of the IEEE. 84(7). 1005–1018. 34 indexed citations
14.
Hammerstrom, Dan. (1995). A Digital VLSI Architecture for Real-World Applications. 3 indexed citations
15.
Hammerstrom, Dan, et al.. (1993). Neurocomputing hardware: present and future. Artificial Intelligence Review. 7(5). 285–300. 7 indexed citations
16.
Hammerstrom, Dan, et al.. (1990). Why VLSI implementations of associative VLCNs require connection multiplexing. IEEE Press eBooks. 112–119. 1 indexed citations
17.
Hammerstrom, Dan. (1990). A VLSI architecture for high-performance, low-cost, on-chip learning. 537–544 vol.2. 139 indexed citations
18.
Hammerstrom, Dan. (1988). The connectivity analysis of simple association –or– how many connections do you need. 9 indexed citations
19.
Hammerstrom, Dan. (1987). The Connectivity Analysis of Simple Association. 338–347. 1 indexed citations
20.
Pollack, Fred J., et al.. (1982). Supporting ada memory management in the iAPX-432. 117–131. 26 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Karim Mohammadi Breakdown of academic impact, for papers by Chengjun Wu Breakdown of academic impact, for papers by Xin Fu Breakdown of academic impact, for papers by Tajana Rosing Breakdown of academic impact, for papers by KyungHi Chang Breakdown of academic impact, for papers by Tarek El‐Ghazawi Breakdown of academic impact, for papers by Sheng Lin Breakdown of academic impact, for papers by Liu Liu Breakdown of academic impact, for papers by Haoyu Yang Breakdown of academic impact, for papers by Steven R. Young
Rankless by CCL
2026