Chris Gates

1.2k total citations · 1 hit paper
9 papers, 559 citations indexed

About

Chris Gates is a scholar working on Information Systems, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Chris Gates has authored 9 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Information Systems, 5 papers in Signal Processing and 3 papers in Computer Networks and Communications. Recurrent topics in Chris Gates's work include Advanced Malware Detection Techniques (5 papers), Network Security and Intrusion Detection (3 papers) and Spam and Phishing Detection (2 papers). Chris Gates is often cited by papers focused on Advanced Malware Detection Techniques (5 papers), Network Security and Intrusion Detection (3 papers) and Spam and Phishing Detection (2 papers). Chris Gates collaborates with scholars based in United States. Chris Gates's co-authors include Rahul Potharaju, Cristina Nita-Rotaru, Ninghui Li, Ian Molloy, Hao Peng, Yuan Qi, Kevin Roundy, Wei-Sheng Wu, Peter Ulintz and Yevgeniy Vorobeychik and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Methods in molecular biology and Journal of Biomolecular Techniques JBT.

In The Last Decade

Chris Gates

9 papers receiving 525 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.

Using probabilistic generative models for ranking risks of Android apps

2012 260 citations Hao Peng, Chris Gates et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chris Gates United States	5	476	333	278	203	81	9	559
Tyler McDonnell United States	9	135 0.3×	92 0.3×	259 0.9×	90 0.4×	212 2.6×	10	464
Thomas Panas United States	8	115 0.2×	86 0.3×	264 0.9×	109 0.5×	101 1.2×	23	352
Shuhao Li China	11	72 0.2×	138 0.4×	132 0.5×	92 0.5×	124 1.5×	40	314
Senthil Mani India	12	67 0.1×	106 0.3×	373 1.3×	157 0.8×	133 1.6×	37	449
Carmem S. Hara Brazil	10	197 0.4×	457 1.4×	209 0.8×	7 0.0×	343 4.2×	40	603
Oisín Boydell Ireland	7	144 0.3×	136 0.4×	231 0.8×	14 0.1×	132 1.6×	14	363
Keishi Tajima Japan	10	73 0.2×	192 0.6×	164 0.6×	16 0.1×	172 2.1×	45	359
Andrew Philpot United States	12	101 0.2×	218 0.7×	245 0.9×	16 0.1×	341 4.2×	34	517

Countries citing papers authored by Chris Gates

Since Specialization

Citations

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

Fields of papers citing papers by Chris Gates

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Gates

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

All Works

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9 of 9 papers shown

1.

Weber, Sarah R., et al.. (2023). Mass Spectrometry-Based Vitreous Proteomics: Validated Methods and Analysis Pipeline. Methods in molecular biology. 2678. 157–167. 2 indexed citations

2.

Dragon, Julie A., Chris Gates, Shannan Ho Sui, et al.. (2020). Bioinformatics Core Survey Highlights the Challenges Facing Data Analysis Facilities. Journal of Biomolecular Techniques JBT. 31(2). jbt.20–3102. 2 indexed citations

3.

Ulintz, Peter, Wei-Sheng Wu, & Chris Gates. (2018). Bioinformatics Analysis of Whole Exome Sequencing Data. Methods in molecular biology. 1881. 277–318. 31 indexed citations

4.

Pienta, Robert, Fred Hohman, Alex Endert, et al.. (2017). VIGOR: Interactive Visual Exploration of Graph Query Results. IEEE Transactions on Visualization and Computer Graphics. 24(1). 215–225. 30 indexed citations

5.

Soska, Kyle, Chris Gates, Kevin Roundy, & Nicolas Christin. (2017). Automatic Application Identification from Billions of Files. 2021–2030. 3 indexed citations

6.

Roundy, Kevin, et al.. (2017). Large-Scale Identification of Malicious Singleton Files. 227–238. 35 indexed citations

7.

Peng, Hao, Chris Gates, Ninghui Li, et al.. (2013). Using probabilistic generative models for ranking risks of android apps. 25. 1 indexed citations

8.

Li, Ninghui, et al.. (2012). Android permissions. 13–22. 195 indexed citations

9.

Peng, Hao, Chris Gates, Ninghui Li, et al.. (2012). Using probabilistic generative models for ranking risks of Android apps. 241–252. 260 indexed citations breakdown →

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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