J.P. Helferty
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Pulmonary and Respiratory Medicine
- Surgery
- Artificial Intelligence
- Co-authors
- William E. HigginsGeoffrey McLennanAtilla P. KiralyChao ZhangD.R. MudgettEric A. HoffmanAnthony J. SherbondyScott A. Merritt
- Topics
- Lung Cancer Diagnosis and Treatment (10 papers)Medical Image Segmentation Techniques (7 papers)Target Tracking and Data Fusion in Sensor Networks (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignAerospace Engineering
- Journals
- IEEE Transactions on Medical ImagingIEEE Transactions on Aerospace and Electronic SystemsComputer Vision and Image Understanding
- Partner nations
- United StatesIndiaCanada
In The Last Decade
J.P. Helferty
21 papers receiving 486 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 285
- Aerospace Engineering 152
- Pulmonary and Respiratory Medicine 147
- Surgery 88
- Artificial Intelligence 71
Countries citing papers authored by J.P. Helferty
This map shows the geographic impact of J.P. Helferty'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 J.P. Helferty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.P. Helferty more than expected).
Fields of papers citing papers by J.P. Helferty
This network shows the impact of papers produced by J.P. Helferty. 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 J.P. Helferty. The network helps show where J.P. Helferty may publish in the future.
Co-authorship network of co-authors of J.P. Helferty
This figure shows the co-authorship network connecting the top 25 collaborators of J.P. Helferty. A scholar is included among the top collaborators of J.P. Helferty 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 J.P. Helferty. J.P. Helferty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 47 | |
| 4 | 57 | |
| 5 | 72 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 26 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 36 | |
| 12 | 11 | |
| 13 | 8 | |
| 14 | 32 | |
| 15 | 85 | |
| 16 | 6 | |
| 17 | Virtual bronchoscopic approach for combining 3D CT and endoscopic video | 1 |
| 18 | 16 | |
| 19 | 31 | |
| 20 | 1 |
About J.P. Helferty
J.P. Helferty is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 506 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (10 papers), Medical Image Segmentation Techniques (7 papers) and Target Tracking and Data Fusion in Sensor Networks (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (285 citations), Computer Graphics and Computer-Aided Design (31 citations) and Aerospace Engineering (152 citations). J.P. Helferty has collaborated with scholars based in United States, India and Canada. Frequent co-authors include William E. Higgins, Geoffrey McLennan, Atilla P. Kiraly, Chao Zhang, D.R. Mudgett, Eric A. Hoffman, Anthony J. Sherbondy, Scott A. Merritt, John Dzielski and Dirk Padfield. Their work appears in journals such as IEEE Transactions on Medical Imaging, IEEE Transactions on Aerospace and Electronic Systems and Computer Vision and Image Understanding.
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.