Patrick Judd

2.4k total citations · 1 hit paper
15 papers, 1.1k citations indexed

About

Patrick Judd is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Patrick Judd has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 9 papers in Electrical and Electronic Engineering and 8 papers in Artificial Intelligence. Recurrent topics in Patrick Judd's work include Advanced Neural Network Applications (13 papers), Adversarial Robustness in Machine Learning (6 papers) and Parallel Computing and Optimization Techniques (6 papers). Patrick Judd is often cited by papers focused on Advanced Neural Network Applications (13 papers), Adversarial Robustness in Machine Learning (6 papers) and Parallel Computing and Optimization Techniques (6 papers). Patrick Judd collaborates with scholars based in Canada and United Kingdom. Patrick Judd's co-authors include Andreas Moshovos, Jorge Albericio, Tayler Hetherington, Tor M. Aamodt, Natalie Enright Jerger, Alberto Delmás Lascorz, Sayeh Sharify, Kevin Siu, Zissis Poulos and Mostafa Mahmoud and has published in prestigious journals such as Computer, IEEE Micro and Parallel Computing.

In The Last Decade

Patrick Judd

15 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cnvlutin

2016 429 citations Jorge Albericio, Patrick Judd et al. ACM SIGARCH Computer Architecture News profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Patrick Judd Canada	10	800	674	480	283	106	15	1.1k
Jorge Albericio Canada	12	677 0.8×	664 1.0×	414 0.9×	433 1.5×	237 2.2×	20	1.2k
Liqiang Lu China	13	647 0.8×	546 0.8×	306 0.6×	314 1.1×	118 1.1×	38	1.1k
Debbie Marr United States	12	471 0.6×	483 0.7×	350 0.7×	298 1.1×	191 1.8×	17	989
Naveen Suda United States	10	686 0.9×	624 0.9×	411 0.9×	191 0.7×	120 1.1×	15	1.1k
Antonio Puglielli United States	7	571 0.7×	633 0.9×	349 0.7×	229 0.8×	123 1.2×	9	1.1k
Jinmook Lee South Korea	15	711 0.9×	830 1.2×	383 0.8×	146 0.5×	101 1.0×	25	1.2k
Hardik Sharma United States	6	493 0.6×	518 0.8×	362 0.8×	280 1.0×	139 1.3×	13	918
Ananda Samajdar United States	12	422 0.5×	549 0.8×	287 0.6×	364 1.3×	212 2.0×	17	941
Anurag Mukkara United States	8	844 1.1×	680 1.0×	512 1.1×	533 1.9×	301 2.8×	9	1.4k
Shengen Yan China	14	495 0.6×	332 0.5×	252 0.5×	371 1.3×	285 2.7×	32	946

Countries citing papers authored by Patrick Judd

Since Specialization

Citations

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

Fields of papers citing papers by Patrick Judd

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Judd

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

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

1.

Lascorz, Alberto Delmás, Patrick Judd, Zissis Poulos, et al.. (2019). Bit-Tactical. 749–763. 68 indexed citations

2.

Lascorz, Alberto Delmás, Sayeh Sharify, Patrick Judd, et al.. (2019). ShapeShifter. 28–41. 21 indexed citations

3.

Mahmoud, Mostafa, Zissis Poulos, Alberto Delmás Lascorz, et al.. (2019). Accelerating Image-Sensor-Based Deep Learning Applications. IEEE Micro. 39(5). 26–35. 1 indexed citations

4.

Sharify, Sayeh, Alberto Delmás Lascorz, Kevin Siu, Patrick Judd, & Andreas Moshovos. (2018). Loom: Exploiting Weight and Activation Precisions to Accelerate Convolutional Neural Networks. 1–6. 67 indexed citations

5.

Sharify, Sayeh, Alberto Delmás Lascorz, Kevin Siu, Patrick Judd, & Andreas Moshovos. (2018). Loom. 1–6. 44 indexed citations

6.

Moshovos, Andreas, Jorge Albericio, Patrick Judd, et al.. (2018). Identifying and Exploiting Ineffectual Computations to Enable Hardware Acceleration of Deep Learning. abs 1706 504. 356–360. 2 indexed citations

7.

Moshovos, Andreas, Jorge Albericio, Patrick Judd, et al.. (2018). Exploiting Typical Values to Accelerate Deep Learning. Computer. 51(5). 18–30. 1 indexed citations

8.

Moshovos, Andreas, Jorge Albericio, Patrick Judd, et al.. (2018). Value-Based Deep-Learning Acceleration. IEEE Micro. 38(1). 41–55. 3 indexed citations

9.

Judd, Patrick, Jorge Albericio, Tayler Hetherington, et al.. (2017). Proteus: Exploiting precision variability in deep neural networks. Parallel Computing. 73. 40–51. 12 indexed citations

10.

Albericio, Jorge, Patrick Judd, Tayler Hetherington, et al.. (2016). Cnvlutin. ACM SIGARCH Computer Architecture News. 44(3). 1–13. 429 indexed citations breakdown →

11.

Judd, Patrick, Jorge Albericio, Tayler Hetherington, Tor M. Aamodt, & Andreas Moshovos. (2016). Stripes: Bit-serial deep neural network computing. 1–12. 228 indexed citations

12.

Albericio, Jorge, Patrick Judd, Tayler Hetherington, et al.. (2016). Cnvlutin: Ineffectual-Neuron-Free Deep Neural Network Computing. 1–13. 162 indexed citations

13.

Judd, Patrick, Jorge Albericio, & Andreas Moshovos. (2016). Stripes: Bit-Serial Deep Neural Network Computing. IEEE Computer Architecture Letters. 16(1). 80–83. 45 indexed citations

14.

Judd, Patrick, Jorge Albericio, Tayler Hetherington, et al.. (2016). Proteus. 1–12. 54 indexed citations

15.

Judd, Patrick, Di Wu, Jorge Albericio, et al.. (2014). Evaluating the memory system behavior of smartphone workloads. 83–92. 9 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