Stuart Andrews

2.2k citations
21 papers · 1.3k · 1 hit paper · h-index 13

Impact in

Papers in

Stuart Andrews

21 papers receiving 1.3k citations

Hit Papers

Support Vector Machines for Multiple-Instance Learning 2002 · 936 citations
9360+8+16Years since publication250500750

Peers

Stuart Andrews
Comparison fields: 5 of 128
  • Computer Vision and Pattern Recognition 871
  • Space and Planetary Science 32
  • Artificial Intelligence 458
  • Media Technology 116
  • Geology 39
Replace Zhongshi He with:
Zhongshi He China
Gady Agam United States
Wei Tan China
Yujun Shen China
Xiaojun Qi United States
Zengchang Qin China
Lei Cui China
Annalisa Barla Italy
Songde Ma China
Dan Feldman Israel
Stuart Andrews relative to Zhongshi He China Zhongshi He's profile →
Citations per field
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Zhongshi He · 1×
Citations per year

Countries citing papers authored by Stuart Andrews

Since Specialization
Citations

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

Fields of papers citing papers by Stuart Andrews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stuart Andrews, 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 Stuart Andrews Line = papers co-authored together Stuart Andrews links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Support Vector Machines for Multiple-Instance Learning
Hit paper breakdown →
2002936
2 200259
3 200558
4 200144
5 201636
6 201534
7 201529
8
Multiple Instance Learning via Disjunctive Programming Boosting
200324
9 201424
10 201317
11 201614
12 201413
13 201813
14
Learning from ambiguous examples
200710
15 20028
16 20115
17 20015
18 20152
19
A Cutting-Plane Algorithm for Learning from Ambiguous Examples
20062
20
Learning a Distance Metric for Structured Network Prediction
20061

About Stuart Andrews

Stuart Andrews is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Artificial Intelligence, Space and Planetary Science and Human-Computer Interaction, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Image Processing and 3D Reconstruction (3 papers), Text and Document Classification Technologies (3 papers), Image Retrieval and Classification Techniques (3 papers), Genomics and Chromatin Dynamics (3 papers), RNA Research and Splicing (3 papers), Epigenetics and DNA Methylation (2 papers), Machine Learning and Algorithms (2 papers) and 3D Surveying and Cultural Heritage (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (871 citations), Space and Planetary Science (32 citations), Artificial Intelligence (458 citations), Media Technology (116 citations) and Geology (39 citations). Stuart Andrews has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Thomas Hofmann, Ioannis Tsochantaridis, Péter L. Nagy, Barbara Gorgoni, André Schaller, Berndt Müller, Daniel Schümperli, Nicola K. Gray, John R. Yates and Songtao Jia. Their work appears in journals such as Neurobiology of Disease, Blood, Molecular Case Studies, RNA and PLoS Genetics.

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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