Nicholas R. Howe
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Control and Systems Engineering top 10%
- Biomedical Engineering
- Co-authors
- Michael E. LeventonWilliam T. FreemanR. ManmathaToni M. RathD.P. HuttenlocherAndreas FischerHubert MaraRolf Ingold
- Topics
- Handwritten Text Recognition Techniques (12 papers)Image Processing and 3D Reconstruction (10 papers)Image Retrieval and Classification Techniques (8 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Nicholas R. Howe
28 papers receiving 684 citations
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 705
- Artificial Intelligence 105
- Media Technology 99
- Control and Systems Engineering 88
- Biomedical Engineering 65
Countries citing papers authored by Nicholas R. Howe
This map shows the geographic impact of Nicholas R. Howe'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 Nicholas R. Howe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas R. Howe more than expected).
Fields of papers citing papers by Nicholas R. Howe
This network shows the impact of papers produced by Nicholas R. Howe. 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 Nicholas R. Howe. The network helps show where Nicholas R. Howe may publish in the future.
Co-authorship network of co-authors of Nicholas R. Howe
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas R. Howe. A scholar is included among the top collaborators of Nicholas R. Howe 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 Nicholas R. Howe. Nicholas R. Howe 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 | 11 | |
| 3 | 16 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 12 | |
| 7 | 34 | |
| 8 | 142 | |
| 9 | 77 | |
| 10 | 11 | |
| 11 | 15 | |
| 12 | Recognition-Based Motion Capture and the HumanEva II Test Data | 8 |
| 13 | Evaluating Lookup-Based Monocular Human Pose Tracking on the HumanEva Test Data | 9 |
| 14 | 29 | |
| 15 | 43 | |
| 16 | 11 | |
| 17 | 7 | |
| 18 | Analysis and representations for automatic comparison, classification and retrieval of digital images | 2 |
| 19 | Bayesian Reconstruction of 3D Human Motion from Single-Camera Video | 177 |
| 20 | Weighting Unusual Feature Types | 3 |
About Nicholas R. Howe
Nicholas R. Howe is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Geology, having authored 30 papers that have together received 742 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (12 papers), Image Processing and 3D Reconstruction (10 papers) and Image Retrieval and Classification Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (705 citations), Media Technology (99 citations) and Human-Computer Interaction (52 citations). Nicholas R. Howe has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Michael E. Leventon, William T. Freeman, R. Manmatha, Toni M. Rath, D.P. Huttenlocher, Andreas Fischer, Hubert Mara, Rolf Ingold, Kaspar Riesen and Jerod Weinman. Their work appears in journals such as Pattern Recognition, Image and Vision Computing and Machine Vision and Applications.
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.