John Wernsing

1.9k total citations · 1 hit paper
13 papers, 1.1k citations indexed

About

John Wernsing is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, John Wernsing has authored 13 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 8 papers in Hardware and Architecture and 4 papers in Information Systems. Recurrent topics in John Wernsing's work include Parallel Computing and Optimization Techniques (8 papers), Interconnection Networks and Systems (5 papers) and Embedded Systems Design Techniques (5 papers). John Wernsing is often cited by papers focused on Parallel Computing and Optimization Techniques (8 papers), Interconnection Networks and Systems (5 papers) and Embedded Systems Design Techniques (5 papers). John Wernsing collaborates with scholars based in United States, United Kingdom and Israel. John Wernsing's co-authors include Michael Naehrig, Kristin Lauter, Ran Gilad-Bachrach, Nathan Dowlin, Kim Laine, Greg Stitt, Jonathan Goldstein, Robert DeLine, John Platt and James F. Terwilliger and has published in prestigious journals such as Proceedings of the IEEE, Proceedings of the VLDB Endowment and ACM SIGPLAN Notices.

In The Last Decade

John Wernsing

13 papers receiving 1.0k citations

Hit Papers

CryptoNets: applying neural networks to encrypted data wi... 2016 2026 2019 2022 2016 250 500 750
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.

  1. CryptoNets: applying neural networks to encrypted data with high throughput and accuracy
    2016 762 citations Nathan Dowlin, Ran Gilad-Bachrach et al. International Conference on Machine Learning profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Wernsing United States 8 781 252 223 216 109 13 1.1k
Serge Vaudenay Switzerland 18 600 0.8× 296 1.2× 293 1.3× 237 1.1× 55 0.5× 97 864
Da Zheng United States 14 621 0.8× 201 0.8× 171 0.8× 416 1.9× 128 1.2× 42 929
Kim Laine United States 13 1.5k 2.0× 181 0.7× 366 1.6× 268 1.2× 46 0.4× 21 1.7k
Roberto Ierusalimschy Brazil 14 364 0.5× 270 1.1× 228 1.0× 101 0.5× 274 2.5× 65 849
Frederik Armknecht Germany 18 544 0.7× 270 1.1× 322 1.4× 112 0.5× 175 1.6× 54 859
Seunghak Lee United States 12 602 0.8× 432 1.7× 255 1.1× 333 1.5× 120 1.1× 24 1.1k
T. Raita Finland 9 409 0.5× 133 0.5× 154 0.7× 141 0.7× 83 0.8× 29 733
Jiacheng Yang China 9 368 0.5× 183 0.7× 87 0.4× 213 1.0× 62 0.6× 23 682
Atsuko Miyaji Japan 14 881 1.1× 296 1.2× 570 2.6× 138 0.6× 26 0.2× 162 1.1k
Andrea Pugliese Italy 18 409 0.5× 434 1.7× 289 1.3× 121 0.6× 42 0.4× 87 886

Countries citing papers authored by John Wernsing

Since Specialization
Citations

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

Fields of papers citing papers by John Wernsing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Wernsing

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

All Works

13 of 13 papers shown
1.
Dowlin, Nathan, Ran Gilad-Bachrach, Kim Laine, et al.. (2017). Manual for Using Homomorphic Encryption for Bioinformatics. Proceedings of the IEEE. 1–16;. 62 indexed citations
2.
Dowlin, Nathan, Ran Gilad-Bachrach, Kim Laine, et al.. (2016). CryptoNets: applying neural networks to encrypted data with high throughput and accuracy. International Conference on Machine Learning. 201–210. 762 indexed citations breakdown →
3.
Chandramouli, Badrish, Jonathan Goldstein, Mike Barnett, et al.. (2014). Trill. Proceedings of the VLDB Endowment. 8(4). 401–412. 115 indexed citations
4.
Fisher, Danyel, Badrish Chandramouli, Robert DeLine, et al.. (2014). Tempe: An Interactive Data Science Environment for Exploration of Temporal and Streaming Data. 6 indexed citations
5.
Chandramouli, Badrish, Jonathan Goldstein, Mike Barnett, et al.. (2014). The Trill Incremental Analytics Engine. 3 indexed citations
6.
Fowers, Jeremy, et al.. (2013). A performance and energy comparison of convolution on GPUs, FPGAs, and multicore processors. ACM Transactions on Architecture and Code Optimization. 9(4). 1–21. 26 indexed citations
7.
Wernsing, John & Greg Stitt. (2012). RACECAR. 321–322. 2 indexed citations
8.
Wernsing, John & Greg Stitt. (2012). Elastic computing: A portable optimization framework for hybrid computers. Parallel Computing. 38(8). 438–464. 12 indexed citations
9.
Wernsing, John, Greg Stitt, & Jeremy Fowers. (2012). The RACECAR heuristic for automatic function specialization on multi-core heterogeneous systems. 81–90. 5 indexed citations
10.
Wernsing, John & Greg Stitt. (2010). A scalable performance prediction heuristic for implementation planning on heterogeneous systems. 71–80. 3 indexed citations
11.
Wernsing, John & Greg Stitt. (2010). Elastic computing. 115–124. 47 indexed citations
12.
Wernsing, John & Greg Stitt. (2010). Elastic computing. ACM SIGPLAN Notices. 45(4). 115–124. 16 indexed citations
13.

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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