J.J. van Hees
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Human-Computer Interaction top 5%
- Signal Processing top 10%
- Cognitive Neuroscience
- Co-authors
- Andreas DengelFederico RaueStanislav FrolovTobias HinzGeorg BuscherRalf BiedertSven SchwarzDamian Borth
- Topics
- Advanced Image and Video Retrieval Techniques (4 papers)Multimodal Machine Learning Applications (4 papers)Remote-Sensing Image Classification (3 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceNeural NetworksEarth system science data
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
J.J. van Hees
20 papers receiving 508 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 250
- Artificial Intelligence 144
- Human-Computer Interaction 93
- Signal Processing 89
- Cognitive Neuroscience 40
Countries citing papers authored by J.J. van Hees
This map shows the geographic impact of J.J. van Hees'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.J. van Hees with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.J. van Hees more than expected).
Fields of papers citing papers by J.J. van Hees
This network shows the impact of papers produced by J.J. van Hees. 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.J. van Hees. The network helps show where J.J. van Hees may publish in the future.
Co-authorship network of co-authors of J.J. van Hees
This figure shows the co-authorship network connecting the top 25 collaborators of J.J. van Hees. A scholar is included among the top collaborators of J.J. van Hees 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.J. van Hees. J.J. van Hees is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 0 | |
| 3 | 33 | |
| 4 | 2 | |
| 5 | Audioclip: Extending Clip to Image, Text and Audiobreakdown → | 163 |
| 6 | 3 | |
| 7 | 11 | |
| 8 | 129 | |
| 9 | Leveraging Visual Question Answering to Improve Text-to-Image Synthesis | 1 |
| 10 | Hybrid Sequence to Sequence Model for Video Object Segmentation. | 1 |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 28 | |
| 17 | 51 | |
| 18 | Linked Data Games: Simulating Human Association with Linked Data. | 1 |
| 19 | 43 | |
| 20 | 10 |
About J.J. van Hees
J.J. van Hees is a scholar working on Human Factors and Ergonomics, Computer Vision and Pattern Recognition and Media Technology, having authored 21 papers that have together received 528 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (4 papers), Multimodal Machine Learning Applications (4 papers) and Remote-Sensing Image Classification (3 papers). The work is most often cited by research in Human-Computer Interaction (93 citations), Computer Vision and Pattern Recognition (250 citations) and Signal Processing (89 citations). J.J. van Hees has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Andreas Dengel, Federico Raue, Stanislav Frolov, Tobias Hinz, Georg Buscher, Ralf Biedert, Sven Schwarz, Damian Borth, Patrick Helber and Tim Althoff. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neural Networks and Earth system science data.
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.