Michael E. Houle

4.4k total citations · 1 hit paper
72 papers, 1.5k citations indexed

About

Michael E. Houle is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Michael E. Houle has authored 72 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 28 papers in Computer Vision and Pattern Recognition and 24 papers in Signal Processing. Recurrent topics in Michael E. Houle's work include Data Management and Algorithms (23 papers), Advanced Image and Video Retrieval Techniques (14 papers) and Computational Geometry and Mesh Generation (13 papers). Michael E. Houle is often cited by papers focused on Data Management and Algorithms (23 papers), Advanced Image and Video Retrieval Techniques (14 papers) and Computational Geometry and Mesh Generation (13 papers). Michael E. Houle collaborates with scholars based in Japan, United States and Australia. Michael E. Houle's co-authors include Erich Schubert, Godfried T. Toussaint, Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander, Guilherme O. Campos, Barbora Micenková, Ira Assent, James Bailey and Jun Sakuma and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Proteins Structure Function and Bioinformatics.

In The Last Decade

Michael E. Houle

67 papers receiving 1.4k citations

Hit Papers

On the evaluation of unsupervised outlier detection: meas... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael E. Houle Japan 18 872 375 314 252 162 72 1.5k
宏治 津田 Japan 1 1.1k 1.2× 867 2.3× 165 0.5× 142 0.6× 57 0.4× 2 2.0k
Alina Beygelzimer United States 14 841 1.0× 342 0.9× 185 0.6× 289 1.1× 28 0.2× 36 1.4k
Feng Zou China 26 988 1.1× 455 1.2× 252 0.8× 290 1.2× 26 0.2× 127 2.2k
Tomasz Radzik United Kingdom 17 409 0.5× 178 0.5× 336 1.1× 718 2.8× 43 0.3× 54 1.5k
Jeff M. Phillips United States 19 505 0.6× 408 1.1× 342 1.1× 289 1.1× 60 0.4× 71 1.3k
Alexandr Andoni United States 17 1.0k 1.2× 1.5k 3.9× 453 1.4× 368 1.5× 114 0.7× 57 2.4k
Piyush Kumar United States 17 238 0.3× 427 1.1× 198 0.6× 113 0.4× 219 1.4× 62 1.3k
Guorui Feng China 26 1.0k 1.2× 1.9k 5.0× 198 0.6× 126 0.5× 39 0.2× 169 2.8k
Dana Richards United States 16 385 0.4× 173 0.5× 127 0.4× 667 2.6× 137 0.8× 46 1.8k
Martin Renqiang Min United States 14 1.0k 1.1× 403 1.1× 237 0.8× 397 1.6× 14 0.1× 45 1.5k

Countries citing papers authored by Michael E. Houle

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Houle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael E. Houle. 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 Michael E. Houle. The network helps show where Michael E. Houle may publish in the future.

Co-authorship network of co-authors of Michael E. Houle

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

All Works

20 of 20 papers shown
1.
Bergeron, Bill, Matthew Hubbell, Albert Reuther, et al.. (2024). Supercomputer 3D Digital Twin for User Focused Real-Time Monitoring. 1–8.
2.
Byun, Chansup, Julia Mullen, Albert Reuther, et al.. (2024). LLload: Simplifying Real-Time Job Monitoring for HPC Users. 1–4.
3.
Bailey, James, Michael E. Houle, & Xingjun Ma. (2023). Relationships between tail entropies and local intrinsic dimensionality and their use for estimation and feature representation. Information Systems. 118. 102245–102245. 1 indexed citations
4.
Ma, Xingjun, Yisen Wang, Michael E. Houle, et al.. (2018). Dimensionality-Driven Learning with Noisy Labels. Own your potential (DEAKIN). 3355–3364. 49 indexed citations
5.
Ma, Xingjun, Bo Li, Yisen Wang, et al.. (2018). Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. Own your potential (DEAKIN). 1–15. 176 indexed citations
6.
Amsaleg, Laurent, et al.. (2018). Extreme-value-theoretic estimation of local intrinsic dimensionality. Data Mining and Knowledge Discovery. 32(6). 1768–1805. 19 indexed citations
7.
Amsaleg, Laurent, James E. Bailey, Sarah Erfani, et al.. (2017). The vulnerability of learning to adversarial perturbation increases with intrinsic dimensionality. HAL (Le Centre pour la Communication Scientifique Directe). 1–6. 1 indexed citations
8.
Houle, Michael E. & Godfried T. Toussaint. (2016). Quadrangles which cannot be separated with two hands. AIP conference proceedings. 1738. 480021–480021. 1 indexed citations
9.
Houle, Michael E., et al.. (2015). A Non-hybrid Ant Colony Optimization Heuristic for Convergence Quality. 5. 1706–1713. 2 indexed citations
10.
Västermark, Åke, et al.. (2014). Expansion of the APC superfamily of secondary carriers. Proteins Structure Function and Bioinformatics. 82(10). 2797–2811. 60 indexed citations
11.
Västermark, Åke, Arunkumar Krishnan, Michael E. Houle, et al.. (2012). Identification of Distant Agouti-Like Sequences and Re-Evaluation of the Evolutionary History of the Agouti-Related Peptide (AgRP). PLoS ONE. 7(7). e40982–e40982. 14 indexed citations
12.
Houle, Michael E., et al.. (2012). Dimensional Testing for Multi-step Similarity Search. 299–308. 17 indexed citations
13.
Chawla, Sanjay, et al.. (2010). Finding Local Anomalies in Very High Dimensional Space. 128–137. 47 indexed citations
14.
Houle, Michael E., Antonios Symvonis, & David R. Wood. (2002). Dimension-Exchange Algorithms for Load Balancing on Trees.. DSpace - NTUA (National Technical University of Athens). 181–196. 15 indexed citations
15.
Hernando, Carmen, Michael E. Houle, & Ferrán Hurtado. (2002). On local transformation of polygons with visibility properties. Theoretical Computer Science. 289(2). 919–937. 16 indexed citations
16.
Estivill‐Castro, Vladimir & Michael E. Houle. (1999). Robust Clustering of Large Data Sets with Categorial Attributes.. Australasian Database Conference. 165–176. 1 indexed citations
17.
Houle, Michael E., Maryse Thivierge, Christian Le Gouill, Jana Staňková, & Marek Rola‐Pleszczynski. (1999). IL-10 Up-Regulates CCR5 Gene Expression in Human Monocytes. Inflammation. 23(3). 241–251. 55 indexed citations
18.
Houle, Michael E., et al.. (1994). Implementing a CD-ROM Network in a Military Geophysics Research Facility. Science & Technology Libraries. 14(3). 43–54. 1 indexed citations
19.
ElGindy, Hossam, Michael E. Houle, William Lenhart, et al.. (1993). Dominance Drawings of Bipartite Graphs.. Canadian Conference on Computational Geometry. 187–191. 4 indexed citations
20.
Houle, Michael E. & Godfried T. Toussaint. (1988). Computing the width of a set. IEEE Transactions on Pattern Analysis and Machine Intelligence. 10(5). 761–765. 81 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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