Michael Oakes

3.1k total citations
87 papers, 1.7k citations indexed

About

Michael Oakes is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael Oakes has authored 87 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 14 papers in Information Systems and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael Oakes's work include Natural Language Processing Techniques (21 papers), Semantic Web and Ontologies (13 papers) and Image Retrieval and Classification Techniques (11 papers). Michael Oakes is often cited by papers focused on Natural Language Processing Techniques (21 papers), Semantic Web and Ontologies (13 papers) and Image Retrieval and Classification Techniques (11 papers). Michael Oakes collaborates with scholars based in United Kingdom, United States and Germany. Michael Oakes's co-authors include Megan Clark, Eric Henderson, James A. Lake, John Tait, Ann Forsyth, David Wessel, Ghazwan Butrous, Maria Dilleen, Mariela Alfonzo and Marlon G. Boarnet and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Michael Oakes

83 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Oakes United Kingdom 18 386 384 313 242 193 87 1.7k
Marco Geraci United States 25 187 0.5× 365 1.0× 146 0.5× 57 0.2× 95 0.5× 86 2.5k
Nan Hu China 30 103 0.3× 524 1.4× 750 2.4× 149 0.6× 30 0.2× 178 3.8k
Christopher I Jarvis United Kingdom 22 32 0.1× 81 0.2× 289 0.9× 71 0.3× 39 0.2× 55 2.7k
Vida Abedi United States 25 239 0.6× 256 0.7× 295 0.9× 190 0.8× 21 0.1× 111 2.3k
Dipankar Bandyopadhyay United States 28 244 0.6× 179 0.5× 344 1.1× 163 0.7× 14 0.1× 182 2.6k
Jessica Utts United States 24 125 0.3× 65 0.2× 53 0.2× 41 0.2× 18 0.1× 73 2.5k
Toralf Kirsten Germany 20 197 0.5× 34 0.1× 375 1.2× 27 0.1× 14 0.1× 74 1.2k
A. Albert Belgium 20 138 0.4× 43 0.1× 102 0.3× 132 0.5× 11 0.1× 44 1.8k
Emily Chia‐Yu Su Taiwan 22 98 0.3× 300 0.8× 462 1.5× 38 0.2× 10 0.1× 74 1.8k
Wiebe R. Pestman Netherlands 16 76 0.2× 85 0.2× 94 0.3× 51 0.2× 14 0.1× 29 1.4k

Countries citing papers authored by Michael Oakes

Since Specialization
Citations

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

Fields of papers citing papers by Michael Oakes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Oakes

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Oakes. A scholar is included among the top collaborators of Michael Oakes 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 Oakes. Michael Oakes 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.
Oakes, Michael, et al.. (2025). Tracking COVID-19 trends in communities with low population by wastewater-based surveillance. The Science of The Total Environment. 970. 179007–179007. 2 indexed citations
2.
Oakes, Michael. (2019). Statistics for Corpus Linguistics. Edinburgh University Press eBooks. 42 indexed citations
3.
Oakes, Michael, et al.. (2019). Computer Stylometric Comparison of Writings by Qassim Amin and Mohammed Abdu on Women’s Rights. 1–6. 1 indexed citations
4.
Vilares, Jesús, Miguel Á. Alonso, & Michael Oakes. (2015). On the feasibility of character n-grams pseudo-translation for Cross-Language Information Retrieval tasks. Computer Speech & Language. 36. 136–164. 9 indexed citations
5.
Oakes, Michael, et al.. (2013). Data mining for gender differences in tinnitus. Pure (Coventry University). 1 indexed citations
6.
Cañive, José M., et al.. (2013). Pathological and Problem Gambling among Veterans in Clinical Care: Prevalence, Demography, and Clinical Correlates. American Journal on Addictions. 22(3). 218–225. 24 indexed citations
7.
Oakes, Michael, et al.. (2013). Decision Support System for the Selection of an ITE or a BTE Hearing Aid. International Journal of Computer Applications. 76(14). 37–42. 3 indexed citations
8.
Oakes, Michael. (2013). The many facets of Corpus Linguistics in Bergen. Sunderland Repository (University of Sunderland). 1 indexed citations
9.
Oakes, Michael, et al.. (2012). Data mining of audiology patient records: factors influencing the choice of hearing aid type. BMC Medical Informatics and Decision Making. 12(S1). S6–S6. 21 indexed citations
10.
Oakes, Michael, et al.. (2010). Clustering audiology data. Northumbria Research Link (Northumbria University). 5 indexed citations
11.
Palomino, Marco A., et al.. (2009). Automatic extraction of keywords for a multi-media search engine using the chi-square test. Biochemical Pharmacology. 28(14). 2215–7. 4 indexed citations
12.
Oakes, Michael. (2009). Corpus linguistics and language variation. Sunderland Repository (University of Sunderland). 2 indexed citations
13.
Oakes, Michael & Yan Xu. (2009). A Search Engine based on Query Logs and Search Log Analysis at the University of Sunderland.. Sunderland Repository (University of Sunderland). 2 indexed citations
14.
Steinhorn, Robin H., John P. Kinsella, Ghazwan Butrous, et al.. (2007). Abstract 2768: Open-Label, Multicentre, Pharmacokinetic Study of IV Sildenafil in the Treatment of Neonates With Persistent Pulmonary Hypertension of the Newborn (PPHN). Circulation. 116. 5 indexed citations
15.
Vilares, Jesús, Michael Oakes, & John Tait. (2006). CoLesIR at CLEF 2006: Rapid Prototyping of an N-gram-Based CLIR System. CLEF (Working Notes). 1 indexed citations
16.
O’Dougherty, Maureen, Lisa Harnack, Simone A. French, et al.. (2006). Nutrition labeling and value size pricing at fast-food restaurants. American Journal of Health Promotion. 20(4). 1 indexed citations
17.
Tait, John & Michael Oakes. (2006). Proceedings of the Workshop on How Can Computational Linguistics Improve Information Retrieval. 2 indexed citations
18.
Oakes, Michael, et al.. (2005). Mining Personal Data Collections to Discover Categories and Category Labels.. 9. 17–22. 1 indexed citations
19.
Oakes, Michael, et al.. (2003). Word sense disambiguation in information retrieval revisited. 159–166. 108 indexed citations
20.
Oakes, Michael, et al.. (1992). Clustering of Thesaurus terms using adaptive resonance theory, fuzzy cognitive maps and approximate string-matching techniques. Ellis Horwood eBooks. 243–263. 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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