Erich Elsen

9.2k total citations
17 papers, 595 citations indexed

About

Erich Elsen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Erich Elsen has authored 17 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 3 papers in Hardware and Architecture. Recurrent topics in Erich Elsen's work include Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Advancements in Photolithography Techniques (3 papers). Erich Elsen is often cited by papers focused on Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Advancements in Photolithography Techniques (3 papers). Erich Elsen collaborates with scholars based in United States, United Kingdom and China. Erich Elsen's co-authors include Eric Darve, Patrick LeGresley, Pat Hanrahan, Zachary DeVito, Frank Ham, Montserrat Medina, N. Joubert, Francisco Palacios, Alex Aiken and S. P. Oakley and has published in prestigious journals such as Journal of Computational Physics, Journal of the Mechanics and Physics of Solids and arXiv (Cornell University).

In The Last Decade

Erich Elsen

16 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Erich Elsen United States	11	182	169	152	136	133	17	595
M. Ravishankar India	16	229 1.3×	160 0.9×	52 0.3×	171 1.3×	59 0.4×	54	484
Patrick McCormick United States	12	266 1.5×	230 1.4×	164 1.1×	270 2.0×	96 0.7×	46	694
Zhe Fan United States	14	151 0.8×	216 1.3×	260 1.7×	166 1.2×	68 0.5×	26	686
Andrew Davidson United States	11	292 1.6×	505 3.0×	100 0.7×	241 1.8×	260 2.0×	17	822
Berger Germany	3	190 1.0×	63 0.4×	75 0.5×	261 1.9×	43 0.3×	7	469
Ronak Singhal United States	8	479 2.6×	129 0.8×	57 0.4×	440 3.2×	134 1.0×	11	858
Sean Ahern United States	11	167 0.9×	428 2.5×	72 0.5×	272 2.0×	61 0.5×	27	850
Robert Heaphy United States	6	228 1.3×	61 0.4×	82 0.5×	305 2.2×	37 0.3×	12	504
Shane Ryoo United States	8	656 3.6×	185 1.1×	62 0.4×	608 4.5×	156 1.2×	12	1.1k

Countries citing papers authored by Erich Elsen

Since Specialization

Citations

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

Fields of papers citing papers by Erich Elsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erich Elsen

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

All Works

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17 of 17 papers shown

Cai, Trevor, Erich Elsen, Aurelia Guy, et al.. (2022). Training Compute-Optimal Large Language Models. 30016–30030.

Menick, Jacob, Erich Elsen, Utku Evci, et al.. (2021). Practical Real Time Recurrent Learning with a Sparse Approximation. International Conference on Learning Representations. 3 indexed citations

Jayakumar, Siddhant M., Razvan Pascanu, Jack W. Rae, Simon Osindero, & Erich Elsen. (2021). Top-KAST: Top-K Always Sparse Training. arXiv (Cornell University). 33. 20744–20754. 2 indexed citations

Evci, Utku, Trevor Gale, Jacob Menick, Pablo Samuel Castro, & Erich Elsen. (2020). Rigging the Lottery: Making All Tickets Winners. International Conference on Machine Learning. 1. 2943–2952. 19 indexed citations

Smith, Samuel, Erich Elsen, & Soham De. (2020). On the Generalization Benefit of Noise in Stochastic Gradient Descent. arXiv (Cornell University). 1. 9058–9067. 11 indexed citations

Hawthorne, Curtis, Adam P. Roberts, Ian Simon, et al.. (2018). Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset. arXiv (Cornell University). 51 indexed citations

Micikevicius, Paulius, Sharan Narang, Gregory Diamos, et al.. (2017). Mixed Precision Training. arXiv (Cornell University). 62 indexed citations

Diamos, Gregory, Shubho Sengupta, Bryan Catanzaro, et al.. (2016). Persistent RNNs: stashing recurrent weights on-chip. International Conference on Machine Learning. 2024–2033. 36 indexed citations

Han, Song, Jeff Pool, Sharan Narang, et al.. (2016). DSD: Dense-Sparse-Dense Training for Deep Neural Networks. arXiv (Cornell University). 12 indexed citations

10.

Elsen, Erich, et al.. (2014). VertexAPI2 – A Vertex-Program API for Large Graph Computations on the GPU. 7 indexed citations

11.

DeVito, Zachary, N. Joubert, Francisco Palacios, et al.. (2011). Liszt. 1–12. 144 indexed citations

12.

Elsen, Erich, et al.. (2010). OPC on a single desktop: a GPU-based OPC and verification tool for fabs and designers. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7641. 764114–764114. 7 indexed citations

13.

Elsen, Erich, et al.. (2010). A GPU-based full-chip inverse lithography solution for random patterns. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10 indexed citations

14.

Elsen, Erich, et al.. (2010). A GPU-based full-chip source-mask optimization solution. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7640. 76401L–76401L. 3 indexed citations

15.

Elsen, Erich, Patrick LeGresley, & Eric Darve. (2008). Large calculation of the flow over a hypersonic vehicle using a GPU. Journal of Computational Physics. 227(24). 10148–10161. 166 indexed citations

16.

Cai, Wei, William Fong, Erich Elsen, & Christopher R. Weinberger. (2008). Torsion and bending periodic boundary conditions for modeling the intrinsic strength of nanowires. Journal of the Mechanics and Physics of Solids. 56(11). 3242–3258. 33 indexed citations

17.

Elsen, Erich, et al.. (2006). Poster reception---N-Body simulation on GPUs. 188–188. 29 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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