Z. Hampel-Arias
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Nuclear and High Energy Physics
- Signal Processing
- Computer Networks and Communications
- Co-authors
- S. WesterhoffHelen ChenKannappan PalaniappanSimon HuJ. BourbeauNatalie KleinAdra CarrAmanda Ziemann
- Topics
- Particle Detector Development and Performance (3 papers)Astrophysics and Cosmic Phenomena (3 papers)Remote-Sensing Image Classification (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceNuclear and High Energy Physics
- Journals
- Disaster Medicine and Public Health PreparednessThe Journal of Open Source SoftwareProceedings of The 34th International Cosmic Ray Conference — PoS(ICRC2015)
- Partner nations
- United StatesBelgium
In The Last Decade
Z. Hampel-Arias
6 papers receiving 58 citations
Peers
Comparison fields: 5 of 22
- Computer Vision and Pattern Recognition 39
- Artificial Intelligence 29
- Nuclear and High Energy Physics 11
- Signal Processing 7
- Computer Networks and Communications 4
Countries citing papers authored by Z. Hampel-Arias
This map shows the geographic impact of Z. Hampel-Arias'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 Z. Hampel-Arias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Z. Hampel-Arias more than expected).
Fields of papers citing papers by Z. Hampel-Arias
This network shows the impact of papers produced by Z. Hampel-Arias. 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 Z. Hampel-Arias. The network helps show where Z. Hampel-Arias may publish in the future.
Co-authorship network of co-authors of Z. Hampel-Arias
This figure shows the co-authorship network connecting the top 25 collaborators of Z. Hampel-Arias. A scholar is included among the top collaborators of Z. Hampel-Arias 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 Z. Hampel-Arias. Z. Hampel-Arias 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 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 33 | |
| 7 | 12 | |
| 8 | 6 | |
| 9 | Cosmic Ray Observations at the TeV Scale with the HAWC Observatory | 0 |
| 10 | 7 |
About Z. Hampel-Arias
Z. Hampel-Arias is a scholar working on Media Technology, Nuclear and High Energy Physics and Aerospace Engineering, having authored 10 papers that have together received 63 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (3 papers), Astrophysics and Cosmic Phenomena (3 papers) and Remote-Sensing Image Classification (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (39 citations), Artificial Intelligence (29 citations) and Nuclear and High Energy Physics (11 citations). Z. Hampel-Arias has collaborated with scholars based in United States and Belgium. Frequent co-authors include S. Westerhoff, Helen Chen, Kannappan Palaniappan, Simon Hu, J. Bourbeau, Natalie Klein, Adra Carr, Amanda Ziemann, Kevin Mitchell and Eric Flynn. Their work appears in journals such as Disaster Medicine and Public Health Preparedness, The Journal of Open Source Software and Proceedings of The 34th International Cosmic Ray Conference — PoS(ICRC2015).
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.