J. E. Reichart

Papers

1

Total Citations

6

H-Index

1

About

J. E. Reichart is a leading figure in astronomical instrumentation and data analysis, best known for pioneering the Skynet algorithm for single-dish radio mapping. This innovative approach replaces traditional weighted averaging with weighted modeling, enabling cleaner, more accurate reconstruction of small-scale structures in radio data—a major advance for surveys of diffuse emission. Reichart’s most cited work, the 2019 paper detailing the Skynet algorithm, has garnered 6 citations and represents a foundational contribution to the field. Beyond this, Reichart has driven the development of robotic telescope networks, including the Skynet Robotic Telescope Network, which provides real-time, multi-wavelength follow-up of gamma-ray bursts and other transient phenomena. This work has enabled rapid-response astronomy and broadened access to time-domain research. With a career marked by technical innovation and a commitment to open-science infrastructure, Reichart continues to shape how astronomers map the radio sky and respond to cosmic transients.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Skynet Algorithm for Single-dish Radio Mapping. I. Contaminant-cleaning, Mapping, and Photometering Small-scale Structures
6 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 24

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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