Ian H. Jermyn
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 1%
- Information Systems top 2%
- Geometry and Topology top 2%
- Artificial Intelligence top 5%
- Co-authors
- Anuj SrivastavaEric KlassenJoseph M. FrancosHaim H. PermuterFabian MonroseAviel D. RubinMichael K. ReiterAlain Mayer
- Topics
- Medical Image Segmentation Techniques (18 papers)Image Retrieval and Classification Techniques (13 papers)Morphological variations and asymmetry (12 papers)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Ian H. Jermyn
58 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Computer Vision and Pattern Recognition 1.0k
- Signal Processing 477
- Information Systems 458
- Geometry and Topology 385
- Artificial Intelligence 308
Countries citing papers authored by Ian H. Jermyn
This map shows the geographic impact of Ian H. Jermyn'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 Ian H. Jermyn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian H. Jermyn more than expected).
Fields of papers citing papers by Ian H. Jermyn
This network shows the impact of papers produced by Ian H. Jermyn. 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 Ian H. Jermyn. The network helps show where Ian H. Jermyn may publish in the future.
Co-authorship network of co-authors of Ian H. Jermyn
This figure shows the co-authorship network connecting the top 25 collaborators of Ian H. Jermyn. A scholar is included among the top collaborators of Ian H. Jermyn 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 Ian H. Jermyn. Ian H. Jermyn 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 | 0 | |
| 4 | 24 | |
| 5 | 45 | |
| 6 | A Multi-Layer Phase Field Model for Extracting Multiple Near-Circular Objects ∗ | 4 |
| 7 | A marked point process model with strong prior shape information for extraction of multiple, arbitrarily-shaped objects | 1 |
| 8 | 8 | |
| 9 | 34 | |
| 10 | 42 | |
| 11 | 149 | |
| 12 | 19 | |
| 13 | 7 | |
| 14 | Higher order active contours and their application to the detection of line networks in satellite imagery. | 23 |
| 15 | Wavelet-Based Superresolution in Astronomy | 7 |
| 16 | 87 | |
| 17 | The Methodology and Practice of the Evaluation of Image Retrieval Systems and Segmentation Methods | 2 |
| 18 | The design and analysis of graphical passwords | 463 |
| 19 | 1 | |
| 20 | 2 |
About Ian H. Jermyn
Ian H. Jermyn is a scholar working on Computer Vision and Pattern Recognition, Geometry and Topology and Media Technology, having authored 62 papers that have together received 2.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (18 papers), Image Retrieval and Classification Techniques (13 papers) and Morphological variations and asymmetry (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Geometry and Topology (385 citations) and Signal Processing (477 citations). Ian H. Jermyn has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Anuj Srivastava, Eric Klassen, Joseph M. Francos, Haim H. Permuter, Fabian Monrose, Aviel D. Rubin, Michael K. Reiter, Alain Mayer, S. K. Joshi and Hiroshi Ishikawa. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Development and Technometrics.
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.