Greg Hager

536 total citations
25 papers, 267 citations indexed

About

Greg Hager is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Surgery. According to data from OpenAlex, Greg Hager has authored 25 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Surgery. Recurrent topics in Greg Hager's work include Surgical Simulation and Training (3 papers), AI in cancer detection (2 papers) and Retinal Diseases and Treatments (2 papers). Greg Hager is often cited by papers focused on Surgical Simulation and Training (3 papers), AI in cancer detection (2 papers) and Retinal Diseases and Treatments (2 papers). Greg Hager collaborates with scholars based in United States, Germany and Chile. Greg Hager's co-authors include Max Mintz, Naoto Yokoya, Ronny Hänsch, Bertrand Le Saux, Myron Brown, John Peterson, Alastair Reid, Paul Hudak, Astro Teller and David C. Parkes and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Geoscience and Remote Sensing Magazine and Translational Vision Science & Technology.

In The Last Decade

Greg Hager

24 papers receiving 256 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Greg Hager United States	7	80	72	30	27	24	25	267
Huadong Wang China	8	58 0.7×	71 1.0×	43 1.4×	33 1.2×	8 0.3×	20	227
Sara Saeedi Iran	10	85 1.1×	56 0.8×	33 1.1×	11 0.4×	22 0.9×	39	358
Wajid Ali Pakistan	10	84 1.1×	65 0.9×	12 0.4×	6 0.2×	44 1.8×	48	311
Wen Jiang China	9	79 1.0×	111 1.5×	26 0.9×	7 0.3×	25 1.0×	26	261
B. Danette Allen United States	8	62 0.8×	61 0.8×	87 2.9×	27 1.0×	4 0.2×	53	272
Bryan Gardiner United Kingdom	10	114 1.4×	33 0.5×	15 0.5×	11 0.4×	16 0.7×	47	336
Limin Liu China	9	50 0.6×	89 1.2×	19 0.6×	8 0.3×	24 1.0×	48	302
Yunsik Son South Korea	10	62 0.8×	49 0.7×	22 0.7×	25 0.9×	16 0.7×	70	292

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-authorship network of co-authors of Greg Hager

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

All Works

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20 of 20 papers shown

Bradley, Chris, Greg Hager, Michael V. Boland, et al.. (2023). Forecasting Risk of Future Rapid Glaucoma Worsening Using Early Visual Field, OCT, and Clinical Data. Ophthalmology Glaucoma. 6(5). 466–473. 14 indexed citations

Bukowski, Julia V., et al.. (2023). Mapping DNN Embedding Manifolds for Network Generalization Prediction. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 31. 6513–6522. 1 indexed citations

Bukowski, Julia V., et al.. (2022). Network Generalization Prediction for Safety Critical Tasks in Novel Operating Domains. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 1839–1847. 3 indexed citations

Murray, Nick M., Phillip Phan, Greg Hager, et al.. (2022). Insurance payment for artificial intelligence technology: Methods used by a stroke artificial intelligence system and strategies to qualify for the new technology add-on payment. The Neuroradiology Journal. 35(3). 284–289. 6 indexed citations

Bradley, Chris, Tobias Elze, Jonathan S. Myers, et al.. (2022). Improving Visual Field Forecasting by Correcting for the Effects of Poor Visual Field Reliability. Translational Vision Science & Technology. 11(5). 27–27. 3 indexed citations

Bukowski, Julia V., et al.. (2022). Evaluating neural network robustness for melanoma classification using mutual information. 22–22. 3 indexed citations

Vagdargi, Prasad, Ali Uneri, Craig Jones, et al.. (2021). Robot-assisted ventriculoscopic 3D reconstruction for guidance of deep-brain stimulation surgery. 6–6. 3 indexed citations

Amato, Nancy M., Greg Hager, Shawna Thomas, & Miguel Torres‐Torriti. (2019). Robotics Research. 5 indexed citations

Saux, Bertrand Le, Naoto Yokoya, Ronny Hänsch, Myron Brown, & Greg Hager. (2019). 2019 Data Fusion Contest [Technical Committees]. IEEE Geoscience and Remote Sensing Magazine. 7(1). 103–105. 58 indexed citations

10.

Allen, Peter, Aaron D. Ames, Mark Campbell, et al.. (2015). National Science Foundation Workshop on Future Directions in Cyber-Physical Systems, Robotics, and Autonomy. 1 indexed citations

11.

Padoy, Nicolas, et al.. (2009). Synchronized Multimodal Recording System for Laparoscopic Minimally Invasive Surgeries. mediaTUM (Technical University of Munich). 3 indexed citations

12.

Reid, Alastair, John Peterson, Greg Hager, & Paul Hudak. (1999). Prototyping real-time vision systems. 484–493. 19 indexed citations

13.

Hager, Greg & Max Mintz. (1991). Sensor modeling and robust sensor data fusion. International Symposium on Robotics. 66–74. 4 indexed citations

14.

Hager, Greg & Max Mintz. (1991). Computational Methods for Task-directed Sensor Data Fusion and Sensor Planning. The International Journal of Robotics Research. 10(4). 285–313. 40 indexed citations

15.

Hager, Greg. (1990). A Comparison of Information Gathering Approaches. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1198. 211–211.

16.

Hager, Greg. (1990). Interval-Based Techniques for Sensor Data Fusion. ScholarlyCommons (University of Pennsylvania). 3 indexed citations

17.

Hager, Greg, et al.. (1989). A Survey of Cooperation and Communication Between Public and School Librarians in Indiana and Beyond. Indiana libraries. 8(2). 78–86. 2 indexed citations

18.

Hager, Greg. (1987). Information Maps for Active Sensor Control. ScholarlyCommons (University of Pennsylvania). 1 indexed citations

19.

Hager, Greg. (1985). Computational Aspects of Proofs in Modal Logic. ScholarlyCommons (University of Pennsylvania). 3 indexed citations

20.

Bajcsy, Růžena & Greg Hager. (1984). TACTILE INFORMATION PROCESSING - THE BOTTOM UP APPROACH.. 809–811. 4 indexed citations

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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