Greg Hager

29 papers receiving 362 citations

Peers

Greg Hager
Comparison fields: 5 of 88
  • Health Informatics 15
  • Computer Vision and Pattern Recognition 112
  • Hardware and Architecture 30
  • Geology 18
  • Artificial Intelligence 92
Replace Miklós Kozlovszky with:
Miklós Kozlovszky Hungary
Yichao Zhou China
Matthieu Cord France
Ian Millington United States
Rehab F. Abdel‐Kader Egypt
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Citations per field
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Citations per year

Countries citing papers authored by Greg Hager

Since Specialization
Citations

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

Fields of papers citing papers by Greg Hager

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202275
2 201961
3 199149
4 199926
5 200124
6 201119
7 199917
8 202315
9 200115
10 199912
11 20228
12
TACTILE INFORMATION PROCESSING - THE BOTTOM UP APPROACH.
19846
13 20196
14 20205
15 20154
16
Sensor modeling and robust sensor data fusion
19914
17 20224
18
Information Maps for Active Sensor Control
19873
19 20213
20
Synchronized Multimodal Recording System for Laparoscopic Minimally Invasive Surgeries
20093

About Greg Hager

Greg Hager is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Surgery and Biomedical Engineering, having authored 30 papers that have together received 379 indexed citations. Recurring topics across this work include Surgical Simulation and Training (3 papers), Advanced Vision and Imaging (3 papers), Robotics and Sensor-Based Localization (2 papers), Adversarial Robustness in Machine Learning (2 papers), Cell Image Analysis Techniques (2 papers), Logic, programming, and type systems (2 papers), Anatomy and Medical Technology (2 papers) and AI-based Problem Solving and Planning (2 papers). The work is most often cited by research in Health Informatics (15 citations), Computer Vision and Pattern Recognition (112 citations), Hardware and Architecture (30 citations), Geology (18 citations) and Artificial Intelligence (92 citations). Greg Hager has collaborated with scholars based in United States, Germany and Chile. Frequent co-authors include Max Mintz, Paul Hudak, Alastair Reid, Naoto Yokoya, Bertrand Le Saux, Ronny Hänsch, Myron Brown, John Peterson, John Peterson and Astro Teller. Their work appears in journals such as The International Journal of Robotics Research, IEEE Geoscience and Remote Sensing Magazine, The Journal of Urology, Ophthalmology Glaucoma and Translational Vision Science & Technology.

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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