J. M. H. du Buf
- Computer Vision and Pattern Recognition top 1%
- Cognitive Neuroscience top 5%
- Media Technology top 2%
- Biomaterials top 10%
- Artificial Intelligence top 10%
- Co-authors
- T.R. ReedJoão M. F. RodriguesMicha BayerJosef BigünM. SpannMohammad Reza KardanJoão José NetoAdrian Ciobanu
- Topics
- Visual perception and processing mechanisms (19 papers)Advanced Vision and Imaging (15 papers)Visual Attention and Saliency Detection (10 papers)
- Partner nations
- PortugalSwitzerlandUnited Kingdom
In The Last Decade
J. M. H. du Buf
72 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 129
- Computer Vision and Pattern Recognition 917
- Cognitive Neuroscience 288
- Media Technology 232
- Biomaterials 187
- Artificial Intelligence 139
Countries citing papers authored by J. M. H. du Buf
This map shows the geographic impact of J. M. H. du Buf'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. M. H. du Buf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. M. H. du Buf more than expected).
Fields of papers citing papers by J. M. H. du Buf
This network shows the impact of papers produced by J. M. H. du Buf. 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. M. H. du Buf. The network helps show where J. M. H. du Buf may publish in the future.
Co-authorship network of co-authors of J. M. H. du Buf
This figure shows the co-authorship network connecting the top 25 collaborators of J. M. H. du Buf. A scholar is included among the top collaborators of J. M. H. du Buf 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. M. H. du Buf. J. M. H. du Buf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 13 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | Local object gist: meaningful shapes and spatial layout at a very early stage of visual processing | 2 |
| 6 | 24 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 28 | |
| 10 | Multi-scale keypoint hierarchy for Focus-of-Attention and object detection | 1 |
| 11 | Painterly rendering using human vision | 3 |
| 12 | 1 | |
| 13 | 84 | |
| 14 | Fast segmentation of 3D data using an octree | 5 |
| 15 | 26 | |
| 16 | Improving 3D visualisation interactivity by using octrees | 1 |
| 17 | 427 | |
| 18 | 1 | |
| 19 | 14 | |
| 20 | 3 |
About J. M. H. du Buf
J. M. H. du Buf is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Cognitive Neuroscience, having authored 81 papers that have together received 1.6k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (19 papers), Advanced Vision and Imaging (15 papers) and Visual Attention and Saliency Detection (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (917 citations), Media Technology (232 citations) and Human-Computer Interaction (88 citations). J. M. H. du Buf has collaborated with scholars based in Portugal, Switzerland and United Kingdom. Frequent co-authors include T.R. Reed, João M. F. Rodrigues, Micha Bayer, Josef Bigün, M. Spann, Mohammad Reza Kardan, João José Neto, Adrian Ciobanu, David G. Mann and Stephen J. M. Droop. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition.
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.