Michael Oakes

3.1k citations
87 papers · 1.7k · h-index 18

Impact in

Papers in

    • Natural Language Processing Techniques 21
    • Semantic Web and Ontologies 13
    • Text and Document Classification Technologies 9
    • Topic Modeling 8
    • Authorship Attribution and Profiling 8

Michael Oakes

83 papers receiving 1.6k citations

Peers

Michael Oakes
Comparison fields: 5 of 156
  • Transportation 193
  • Artificial Intelligence 386
  • Speech and Hearing 82
  • Pulmonary and Respiratory Medicine 384
  • Cardiology and Cardiovascular Medicine 242
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Citations per year

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-authors

The 25 scholars most cited alongside Michael Oakes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Oakes Line = papers co-authored together Michael Oakes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984211
2 2011186
3 2009165
4 2006153
5 2003108
6 200970
7 201062
8 198556
9 200656
10 201942
11 200642
12 202032
13 200129
14 201324
15 200023
16
Literature Review of Cross Language Information Retrieval.
200522
17 201221
18
Abnormal laboratory test values during ceftriaxone therapy.
198419
19 201517
20 200816

About Michael Oakes

Michael Oakes is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Molecular Biology and Signal Processing, having authored 87 papers that have together received 1.7k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (21 papers), Semantic Web and Ontologies (13 papers), Image Retrieval and Classification Techniques (11 papers), Text and Document Classification Technologies (9 papers), Topic Modeling (8 papers), Authorship Attribution and Profiling (8 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Pulmonary Hypertension Research and Treatments (5 papers). The work is most often cited by research in Transportation (193 citations), Artificial Intelligence (386 citations), Speech and Hearing (82 citations), Pulmonary and Respiratory Medicine (384 citations) and Cardiology and Cardiovascular Medicine (242 citations). Michael Oakes has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include James A. Lake, Eric Henderson, Megan Clark, John Tait, Ann Forsyth, Ghazwan Butrous, Maria Dilleen, David Wessel, Mariela Alfonzo and Kristen Day. Their work appears in journals such as Journal of Quantitative Linguistics, Proceedings of the National Academy of Sciences, American Journal on Addictions, The Journal of Pediatrics and Blood.

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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