David Widemann

533 total citations
10 papers, 234 citations indexed

About

David Widemann is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, David Widemann has authored 10 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Electrical and Electronic Engineering, 3 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in David Widemann's work include Ferroelectric and Negative Capacitance Devices (4 papers), Advanced Memory and Neural Computing (4 papers) and Neural dynamics and brain function (2 papers). David Widemann is often cited by papers focused on Ferroelectric and Negative Capacitance Devices (4 papers), Advanced Memory and Neural Computing (4 papers) and Neural dynamics and brain function (2 papers). David Widemann collaborates with scholars based in United States and Norway. David Widemann's co-authors include Tarek I. Zohdi, Youngsoo Choi, Youngkyu Kim, Adam Moody, Youzuo Lin, Felix Krahmer, Brendt Wohlberg, Md Zahangir Alom, Brian Van Essen and Tarek M. Taha and has published in prestigious journals such as PLoS ONE, Journal of Computational Physics and Journal of Biomedical Informatics.

In The Last Decade

David Widemann

10 papers receiving 226 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Widemann United States 6 116 54 53 50 43 10 234
Zecheng Zhang United States 11 112 1.0× 16 0.3× 80 1.5× 73 1.5× 20 0.5× 29 259
Juan Diego Toscano United States 6 103 0.9× 11 0.2× 51 1.0× 63 1.3× 8 0.2× 11 223
Brian M. de Silva United States 5 157 1.4× 7 0.1× 42 0.8× 64 1.3× 54 1.3× 6 264
Zhi‐Qin John Xu China 8 61 0.5× 24 0.4× 79 1.5× 41 0.8× 3 0.1× 26 233
Ido Bright United States 4 127 1.1× 12 0.2× 104 2.0× 31 0.6× 42 1.0× 13 225
Christian Lessig Germany 9 50 0.4× 159 2.9× 130 2.5× 21 0.4× 3 0.1× 27 341
Eric A. Deem United States 6 121 1.0× 26 0.5× 160 3.0× 11 0.2× 25 0.6× 10 263
Markus Abel Australia 7 77 0.7× 19 0.4× 27 0.5× 61 1.2× 50 1.2× 14 245
Aditya Nair United States 11 166 1.4× 31 0.6× 212 4.0× 23 0.5× 20 0.5× 30 349
Markus Abel Germany 9 105 0.9× 8 0.1× 66 1.2× 47 0.9× 18 0.4× 21 294

Countries citing papers authored by David Widemann

Since Specialization
Citations

This map shows the geographic impact of David Widemann'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 David Widemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Widemann more than expected).

Fields of papers citing papers by David Widemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Widemann. 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 David Widemann. The network helps show where David Widemann may publish in the future.

Co-authorship network of co-authors of David Widemann

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

All Works

10 of 10 papers shown
1.
Wang, Rui, et al.. (2022). Latent Space Simulation for Carbon Capture Design Optimization. Proceedings of the AAAI Conference on Artificial Intelligence. 36(11). 12447–12453. 1 indexed citations
2.
Kim, Youngkyu, Youngsoo Choi, David Widemann, & Tarek I. Zohdi. (2021). A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder. Journal of Computational Physics. 451. 110841–110841. 129 indexed citations
3.
Wang, Rui, et al.. (2021). MeshGraphNets. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
4.
Gonçalves, André, Braden Soper, Mari Nygård, et al.. (2020). Improving five-year survival prediction via multitask learning across HPV-related cancers. PLoS ONE. 15(11). e0241225–e0241225. 2 indexed citations
5.
Gonçalves, André, Priyadip Ray, Braden Soper, et al.. (2019). Bayesian multitask learning regression for heterogeneous patient cohorts. Journal of Biomedical Informatics. 100. 100059–100059. 6 indexed citations
6.
Shrestha, Amar, Yanzhi Wang, David Widemann, et al.. (2018). Modular Spiking Neural Circuits for Mapping Long Short-Term Memory on a Neurosynaptic Processor. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 8(4). 782–795. 9 indexed citations
7.
Alom, Md Zahangir, Brian Van Essen, Adam Moody, David Widemann, & Tarek M. Taha. (2017). Convolutional sparse coding on neurosynaptic cognitive system. 35. 3609–3616. 1 indexed citations
8.
Shrestha, Amar, Yanzhi Wang, David Widemann, et al.. (2017). A spike-based long short-term memory on a neurosynaptic processor. 631–637. 11 indexed citations
9.
Alom, Md Zahangir, Brian Van Essen, Adam Moody, David Widemann, & Tarek M. Taha. (2017). Quadratic Unconstrained Binary Optimization (QUBO) on neuromorphic computing system. 3922–3929. 26 indexed citations
10.
Krahmer, Felix, et al.. (2006). Blind Image Deconvolution Motion Blur Estimation. University of Minnesota Digital Conservancy (University of Minnesota). 48 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.

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