J.C. McEachen
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Co-authors
- James S. DuncanArye NehoraiAdrienne StolfiPhillip H. KuoP. VincentAndrew H. StocklandJ. FrieseMartin D. Zielinski
- Topics
- Network Security and Intrusion Detection (8 papers)Medical Image Segmentation Techniques (4 papers)Cooperative Communication and Network Coding (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionOccupational TherapyRadiology, Nuclear Medicine and Imaging
- Journals
- IEEE Transactions on Image ProcessingIEEE Transactions on Medical ImagingJournal of Vascular Surgery
- Partner nations
- United States
In The Last Decade
J.C. McEachen
34 papers receiving 315 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 127
- Radiology, Nuclear Medicine and Imaging 78
- Electrical and Electronic Engineering 77
- Computer Networks and Communications 65
- Artificial Intelligence 50
Countries citing papers authored by J.C. McEachen
This map shows the geographic impact of J.C. McEachen'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.C. McEachen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.C. McEachen more than expected).
Fields of papers citing papers by J.C. McEachen
This network shows the impact of papers produced by J.C. McEachen. 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.C. McEachen. The network helps show where J.C. McEachen may publish in the future.
Co-authorship network of co-authors of J.C. McEachen
This figure shows the co-authorship network connecting the top 25 collaborators of J.C. McEachen. A scholar is included among the top collaborators of J.C. McEachen 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.C. McEachen. J.C. McEachen 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 | 9 | |
| 4 | 9 | |
| 5 | Acute lower extremity deep vein thrombosis: Classification, imaging evaluation, indications for intervention | 0 |
| 6 | 8 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 0 | |
| 18 | 4 | |
| 19 | 36 | |
| 20 | 80 |
About J.C. McEachen
J.C. McEachen is a scholar working on Computer Networks and Communications, Internal Medicine and Computer Vision and Pattern Recognition, having authored 40 papers that have together received 329 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (8 papers), Medical Image Segmentation Techniques (4 papers) and Cooperative Communication and Network Coding (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (127 citations), Occupational Therapy (17 citations) and Radiology, Nuclear Medicine and Imaging (78 citations). J.C. McEachen has collaborated with scholars based in United States. Frequent co-authors include James S. Duncan, Arye Nehorai, Adrienne Stolfi, Phillip H. Kuo, P. Vincent, Andrew H. Stockland, J. Friese, Martin D. Zielinski, Andrew K. Kurklinsky and Donald H. Jenkins. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Medical Imaging and Journal of Vascular Surgery.
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.