Erik Wijmans
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Aerospace Engineering
- Information Systems top 10%
- Signal Processing top 10%
- Co-authors
- Dhruv BatraYinzhi CaoLi SongAbhishek DasOleksandr MaksymetsStefan LeeIrfan EssaDevi Parikh
- Topics
- Multimodal Machine Learning Applications (4 papers)Reinforcement Learning in Robotics (4 papers)Advanced Image and Video Retrieval Techniques (2 papers)
- Journals
- ACM Transactions on Graphics2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)2021 IEEE/CVF International Conference on Computer Vision (ICCV)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Erik Wijmans
10 papers receiving 345 citations
Peers
Comparison fields: 5 of 47
- Computer Vision and Pattern Recognition 230
- Artificial Intelligence 170
- Aerospace Engineering 77
- Information Systems 59
- Signal Processing 57
Countries citing papers authored by Erik Wijmans
This map shows the geographic impact of Erik Wijmans'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 Erik Wijmans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik Wijmans more than expected).
Fields of papers citing papers by Erik Wijmans
This network shows the impact of papers produced by Erik Wijmans. 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 Erik Wijmans. The network helps show where Erik Wijmans may publish in the future.
Co-authorship network of co-authors of Erik Wijmans
This figure shows the co-authorship network connecting the top 25 collaborators of Erik Wijmans. A scholar is included among the top collaborators of Erik Wijmans 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 Erik Wijmans. Erik Wijmans is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 4 | |
| 3 | 11 | |
| 4 | 0 | |
| 5 | 23 | |
| 6 | 71 | |
| 7 | 1 | |
| 8 | 44 | |
| 9 | Decentralized Distributed PPO: Solving PointGoal Navigation | 8 |
| 10 | 74 | |
| 11 | 91 |
About Erik Wijmans
Erik Wijmans is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Sensory Systems, having authored 11 papers that have together received 357 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (4 papers), Reinforcement Learning in Robotics (4 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (230 citations), Signal Processing (57 citations) and Artificial Intelligence (170 citations). Erik Wijmans has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Dhruv Batra, Yinzhi Cao, Li Song, Abhishek Das, Oleksandr Maksymets, Stefan Lee, Irfan Essa, Devi Parikh, Samyak Datta and Georgia Gkioxari. Their work appears in journals such as ACM Transactions on Graphics, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.