Christoffer Heckman
- Aerospace Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Co-authors
- Nisar AhmedSimon JulierFernando NobreÀngel Santamaria‐NavarroAli‐akbar Agha‐mohammadiRichard H. RandAndrew KramerMark E. Rentschler
- Topics
- Robotics and Sensor-Based Localization (12 papers)Nonlinear Dynamics and Pattern Formation (8 papers)Reinforcement Learning in Robotics (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe International Journal of Robotics ResearchIEEE Transactions on Robotics
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Christoffer Heckman
42 papers receiving 495 citations
Peers
Comparison fields: 5 of 63
- Aerospace Engineering 244
- Computer Vision and Pattern Recognition 146
- Artificial Intelligence 108
- Electrical and Electronic Engineering 82
- Computer Networks and Communications 81
Countries citing papers authored by Christoffer Heckman
This map shows the geographic impact of Christoffer Heckman'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 Christoffer Heckman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christoffer Heckman more than expected).
Fields of papers citing papers by Christoffer Heckman
This network shows the impact of papers produced by Christoffer Heckman. 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 Christoffer Heckman. The network helps show where Christoffer Heckman may publish in the future.
Co-authorship network of co-authors of Christoffer Heckman
This figure shows the co-authorship network connecting the top 25 collaborators of Christoffer Heckman. A scholar is included among the top collaborators of Christoffer Heckman 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 Christoffer Heckman. Christoffer Heckman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 8 | |
| 3 | 31 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 33 | |
| 7 | 24 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 75 | |
| 12 | 9 | |
| 13 | 8 | |
| 14 | 27 | |
| 15 | 10 | |
| 16 | 17 | |
| 17 | 12 | |
| 18 | 24 | |
| 19 | 1 | |
| 20 | 1 |
About Christoffer Heckman
Christoffer Heckman is a scholar working on Computer Graphics and Computer-Aided Design, Geology and Computer Networks and Communications, having authored 42 papers that have together received 507 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (12 papers), Nonlinear Dynamics and Pattern Formation (8 papers) and Reinforcement Learning in Robotics (5 papers). The work is most often cited by research in Aerospace Engineering (244 citations), Geology (46 citations) and Computer Vision and Pattern Recognition (146 citations). Christoffer Heckman has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Nisar Ahmed, Simon Julier, Fernando Nobre, Àngel Santamaria‐Navarro, Ali‐akbar Agha‐mohammadi, Richard H. Rand, Andrew Kramer, Mark E. Rentschler, M. Ani Hsieh and Ira B. Schwartz. Their work appears in journals such as SHILAP Revista de lepidopterología, The International Journal of Robotics Research and IEEE Transactions on Robotics.
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.