J. R. Ullmann
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Signal Processing top 2%
- Computer Networks and Communications top 5%
- Computational Theory and Mathematics top 2%
- Co-authors
- Azriel Rosenfeld
- Topics
- Image and Object Detection Techniques (7 papers)Handwritten Text Recognition Techniques (6 papers)Advanced Image and Video Retrieval Techniques (6 papers)
- Journals
- NatureIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Information Theory
- Partner nations
- United KingdomUnited States
In The Last Decade
J. R. Ullmann
28 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Computer Vision and Pattern Recognition 888
- Artificial Intelligence 638
- Signal Processing 438
- Computer Networks and Communications 357
- Computational Theory and Mathematics 235
Countries citing papers authored by J. R. Ullmann
This map shows the geographic impact of J. R. Ullmann'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. R. Ullmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. R. Ullmann more than expected).
Fields of papers citing papers by J. R. Ullmann
This network shows the impact of papers produced by J. R. Ullmann. 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. R. Ullmann. The network helps show where J. R. Ullmann may publish in the future.
Co-authorship network of co-authors of J. R. Ullmann
This figure shows the co-authorship network connecting the top 25 collaborators of J. R. Ullmann. A scholar is included among the top collaborators of J. R. Ullmann 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. R. Ullmann. J. R. Ullmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 7 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | An Algorithm for Subgraph Isomorphismbreakdown → | 1321 |
| 9 | 1 | |
| 10 | 11 | |
| 11 | 15 | |
| 12 | 2 | |
| 13 | 7 | |
| 14 | 11 | |
| 15 | 40 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 6 |
About J. R. Ullmann
J. R. Ullmann is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Industrial and Manufacturing Engineering, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include Image and Object Detection Techniques (7 papers), Handwritten Text Recognition Techniques (6 papers) and Advanced Image and Video Retrieval Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (888 citations), Signal Processing (438 citations) and Artificial Intelligence (638 citations). J. R. Ullmann has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Azriel Rosenfeld. Their work appears in journals such as Nature, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Information Theory.
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.