Duncan Robertson

17 papers receiving 537 citations

Hit Papers

Accurate, Robust, and Flexible Real-time Hand Tracking2015202620182022201550100150200250

Peers

Duncan Robertson
Comparison fields: 5 of 87
  • Computer Vision and Pattern Recognition 358
  • Human-Computer Interaction 240
  • Control and Systems Engineering 109
  • Biomedical Engineering 96
  • Cognitive Neuroscience 61
Replace Subhashis Banerjee with:
Subhashis Banerjee India
Gabriele Fanelli Switzerland
Yuki Uranishi Japan
Denis Fisseler Germany
Zhuming Ai United States
Yong–Lu Li China
Franziska Mueller Germany
Michael Boelstoft Holte Denmark
Patrick Saalfeld Germany
Joo Kooi Tan Japan
Duncan Robertson relative to Subhashis Banerjee India Subhashis Banerjee's profile →
Citations per field
00.5×2.7×
Subhashis Banerjee · 1×
Citations per year

Countries citing papers authored by Duncan Robertson

Since Specialization
Citations

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

Fields of papers citing papers by Duncan Robertson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Duncan Robertson

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 4
2 7
3
Deep Roots: Improving CNN Efficiency by Learning a Basis for Filter Dependencies
0
4
Training Convolutional Neural Networks with Low-rank Filters for Efficient Image Classification
4
5
Decision Forests, Convolutional Networks and the Models in-Between Microsoft Research Technical Report 2015-58
1
6 17
7
Accurate, Robust, and Flexible Real-time Hand Trackingbreakdown →
285
8 13
9 156
10 6
11 1
12
Automatic Semantic Annotation and Validation of Anatomy in DICOM CT Images
2
13 9
14 1
15 2
16 32
17 18
18
Tracking eye positions during the use of an automatic teller machine (ATM)
1

About Duncan Robertson

Duncan Robertson is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Geology, having authored 18 papers that have together received 559 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Medical Image Segmentation Techniques (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Human-Computer Interaction (240 citations), Computer Vision and Pattern Recognition (358 citations) and Control and Systems Engineering (109 citations). Duncan Robertson has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Jamie Shotton, Antonio Criminisi, Dev S. Pathak, Roberto Cipolla, Khan Siddiqui, Ender Konukoğlu, Stuart C. White, Ido Leichter, David Kim and Christoph Rhemann. Their work appears in journals such as Medical Image Analysis, World Electric Vehicle Journal and International Journal of Speech Language and the Law.

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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