Henry A. Leopold

557 total citations
10 papers, 259 citations indexed

About

Henry A. Leopold is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Ophthalmology. According to data from OpenAlex, Henry A. Leopold has authored 10 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Ophthalmology. Recurrent topics in Henry A. Leopold's work include Retinal Imaging and Analysis (5 papers), Digital Imaging for Blood Diseases (5 papers) and Robotics and Sensor-Based Localization (3 papers). Henry A. Leopold is often cited by papers focused on Retinal Imaging and Analysis (5 papers), Digital Imaging for Blood Diseases (5 papers) and Robotics and Sensor-Based Localization (3 papers). Henry A. Leopold collaborates with scholars based in Canada, United States and Australia. Henry A. Leopold's co-authors include Vasudevan Lakshminarayanan, Sourya Sengupta, Amitojdeep Singh, Masahiro Ono, Deegan Atha, John Zelek, Jeff Orchard, Katie J. Suda, Ireneous N Soyiri and Alan Siniscalchi and has published in prestigious journals such as Artificial Intelligence in Medicine, arXiv (Cornell University) and 2022 International Conference on Robotics and Automation (ICRA).

In The Last Decade

Henry A. Leopold

10 papers receiving 250 citations

Peers

Henry A. Leopold
Comparison fields: 5 of 68
  • Radiology, Nuclear Medicine and Imaging 152
  • Ophthalmology 116
  • Computer Vision and Pattern Recognition 112
  • Astronomy and Astrophysics 32
  • Aerospace Engineering 30
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Citations per field, relative to Henry A. Leopold
Henry A. Leopold · 1×
Citations per year, relative to Henry A. Leopold
Henry A. Leopold · 1×

Countries citing papers authored by Henry A. Leopold

Since Specialization
Citations

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

Fields of papers citing papers by Henry A. Leopold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Henry A. Leopold. 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 Henry A. Leopold. The network helps show where Henry A. Leopold may publish in the future.

Co-authorship network of co-authors of Henry A. Leopold

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 8
2 62
3 134
4 27
5
Ophthalmic Diagnosis and Deep Learning - A Survey.
4
6 3
7 6
8 4
9 1
10 10

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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