Matthew Simpson

836 citations
28 papers · 480 · h-index 13

Impact in

Papers in

Matthew Simpson

27 papers receiving 454 citations

Peers

Matthew Simpson
Comparison fields: 5 of 57
  • Hardware and Architecture 98
  • Computer Vision and Pattern Recognition 173
  • Artificial Intelligence 257
  • Health Informatics 6
  • Software 16
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Ying Sheng United States
Zhan Shi China
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Michał Podstawski Switzerland
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Citations per year

Countries citing papers authored by Matthew Simpson

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Matthew Simpson, 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 Matthew Simpson Line = papers co-authored together Matthew Simpson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201296
2 201549
3
Overview of the TREC 2014 Clinical Decision Support Track
201445
4 201241
5 200933
6 201324
7 201018
8 200517
9 200617
10 200515
11 201412
12 200412
13
Text- and Content-based Approaches to Image Modality Detection and Retrieval for the ImageCLEF 2010 Medical Retrieval Track
201012
14 201410
15
ITI's Participation in the ImageCLEF 2012 Medical Retrieval and Classification Tasks.
201210
16
Towards the creation of a visual ontology of biomedical imaging entities.
201210
17 20139
18 20089
19
ITI's Participation in the 2013 Medical Track of ImageCLEF
20137
20 20107

About Matthew Simpson

Matthew Simpson is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Artificial Intelligence, Hardware and Architecture and Computer Networks and Communications, having authored 28 papers that have together received 480 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (16 papers), Image Retrieval and Classification Techniques (12 papers), Parallel Computing and Optimization Techniques (7 papers), Semantic Web and Ontologies (5 papers), Security and Verification in Computing (5 papers), Distributed systems and fault tolerance (5 papers), Topic Modeling (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Hardware and Architecture (98 citations), Computer Vision and Pattern Recognition (173 citations), Artificial Intelligence (257 citations), Health Informatics (6 citations) and Software (16 citations). Matthew Simpson has collaborated with scholars based in United States. Frequent co-authors include Dina Demner‐Fushman, George R. Thoma, Sameer Antani, Rajeev Barua, William Hersh, Ellen M. Voorhees, Daekeun You, Md Mahmudur Rahman, Kirk Roberts and Emilia Apostolova. Their work appears in journals such as Information Retrieval, ACM Transactions on Embedded Computing Systems, International Journal of Multimedia Information Retrieval, Computerized Medical Imaging and Graphics and Software Practice and Experience.

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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