Justin Whitehouse

605 total citations
8 papers, 161 citations indexed

About

Justin Whitehouse is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Justin Whitehouse has authored 8 papers receiving a total of 161 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 2 papers in Information Systems. Recurrent topics in Justin Whitehouse's work include Adversarial Robustness in Machine Learning (3 papers), Cloud Computing and Resource Management (2 papers) and Parallel Computing and Optimization Techniques (2 papers). Justin Whitehouse is often cited by papers focused on Adversarial Robustness in Machine Learning (3 papers), Cloud Computing and Resource Management (2 papers) and Parallel Computing and Optimization Techniques (2 papers). Justin Whitehouse collaborates with scholars based in United States, United Kingdom and France. Justin Whitehouse's co-authors include Satya N. Majumdar, M. R. Evans, Junfeng Yang, Kexin Pei, Shiqi Wang, Suman Jana, Weina Wang, Baishakhi Ray, Mor Harchol‐Balter and Benjamin Moseley and has published in prestigious journals such as Journal of Physics D Applied Physics, ACM SIGOPS Operating Systems Review and ACM SIGMETRICS Performance Evaluation Review.

In The Last Decade

Justin Whitehouse

6 papers receiving 146 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Justin Whitehouse United States	4	88	60	28	21	19	8	161
Markus Maier Germany	4	112 1.3×	23 0.4×	35 1.3×	87 4.1×	20 1.1×	4	186
Ronit Bustin Israel	8	71 0.8×	23 0.4×	16 0.6×	40 1.9×	15 0.8×	29	312
Prateek Yadav India	10	122 1.4×	23 0.4×	46 1.6×	50 2.4×	6 0.3×	26	220
Kevin Scaman France	5	57 0.6×	12 0.2×	25 0.9×	17 0.8×	5 0.3×	9	105
Rafig Agaev Russia	7	26 0.3×	9 0.1×	65 2.3×	14 0.7×	13 0.7×	19	238
Qinbin He China	8	69 0.8×	61 1.0×	158 5.6×	14 0.7×	10 0.5×	27	397
Ross Honsberger Canada	8	31 0.4×	9 0.1×	21 0.8×	28 1.3×	6 0.3×	18	279
Haibin Shao China	11	31 0.4×	13 0.2×	106 3.8×	11 0.5×	4 0.2×	48	321
Xiao Peng China	9	127 1.4×	14 0.2×	156 5.6×	6 0.3×	3 0.2×	17	395

Countries citing papers authored by Justin Whitehouse

Since Specialization

Citations

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

Fields of papers citing papers by Justin Whitehouse

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin Whitehouse

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

All Works

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8 of 8 papers shown

1.

Whitehouse, Justin, et al.. (2022). The Case for Phase-Aware Scheduling of Parallelizable Jobs. ACM SIGMETRICS Performance Evaluation Review. 49(3). 65–66.

2.

Whitehouse, Justin, et al.. (2021). The case for phase-aware scheduling of parallelizable jobs. Performance Evaluation. 153. 102246–102246. 1 indexed citations

3.

Pei, Kexin, Shiqi Wang, Yuchi Tian, et al.. (2019). Bringing Engineering Rigor to Deep Learning. ACM SIGOPS Operating Systems Review. 53(1). 59–67. 3 indexed citations

4.

Wang, Shiqi, Kexin Pei, Justin Whitehouse, Junfeng Yang, & Suman Jana. (2018). Formal Security Analysis of Neural Networks using Symbolic Intervals. arXiv (Cornell University). 1599–1614. 48 indexed citations

5.

Wang, Shiqi, Kexin Pei, Justin Whitehouse, Junfeng Yang, & Suman Jana. (2018). Efficient Formal Safety Analysis of Neural Networks. arXiv (Cornell University). 31. 6367–6377. 47 indexed citations

6.

Whitehouse, Justin, M. R. Evans, & Satya N. Majumdar. (2013). Effect of partial absorption on diffusion with resetting. Physical Review E. 87(2). 22118–22118. 59 indexed citations

7.

Whitehouse, Justin. (1990). Range information using blurred images. Journal of Physics D Applied Physics. 23(11). 1342–1349. 1 indexed citations

8.

Whitehouse, Justin. (1989). New principle of rangefinding using blurred images. Journal of Physics D Applied Physics. 22(1). 11–22. 2 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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