Joseph DePasquale
- Astronomy and Astrophysics top 10%
- Artificial Intelligence
- Nuclear and High Energy Physics
- Computer Vision and Pattern Recognition
- Molecular Biology
- Co-authors
- Robi PolikarGavin BrownLudmila I. KunchevaPaul P. PlucinskyA. VikhlininHerman L. MarshallGail RosenNorbert S. Schulz
- Topics
- Astrophysical Phenomena and Observations (8 papers)Gamma-ray bursts and supernovae (6 papers)Stellar, planetary, and galactic studies (5 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Joseph DePasquale
16 papers receiving 149 citations
Peers
Comparison fields: 5 of 57
- Astronomy and Astrophysics 70
- Artificial Intelligence 39
- Nuclear and High Energy Physics 26
- Computer Vision and Pattern Recognition 22
- Molecular Biology 13
Countries citing papers authored by Joseph DePasquale
This map shows the geographic impact of Joseph DePasquale'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 Joseph DePasquale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph DePasquale more than expected).
Fields of papers citing papers by Joseph DePasquale
This network shows the impact of papers produced by Joseph DePasquale. 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 Joseph DePasquale. The network helps show where Joseph DePasquale may publish in the future.
Co-authorship network of co-authors of Joseph DePasquale
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph DePasquale. A scholar is included among the top collaborators of Joseph DePasquale 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 Joseph DePasquale. Joseph DePasquale is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 6 | |
| 6 | The SMC SNR 1E0102.2-7219 as a Calibration Standard for X-ray Astronomy in the 0.3-2.5 keV Bandpass | 5 |
| 7 | 17 | |
| 8 | 54 | |
| 9 | Predicting Chandra CCD Degradation with the Chandra Radiation Model | 1 |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | 29 | |
| 16 | 0 | |
| 17 | Pre-discovery Photometry of the gamma Doradus-type Pulsating Star HR 8330 (= HD 207223) | 0 |
| 18 | 2 | |
| 19 | 1 |
About Joseph DePasquale
Joseph DePasquale is a scholar working on Instrumentation, Astronomy and Astrophysics and Nuclear and High Energy Physics, having authored 19 papers that have together received 157 indexed citations. Recurring topics across this work include Astrophysical Phenomena and Observations (8 papers), Gamma-ray bursts and supernovae (6 papers) and Stellar, planetary, and galactic studies (5 papers). The work is most often cited by research in Astronomy and Astrophysics (70 citations), Nuclear and High Energy Physics (26 citations) and Artificial Intelligence (39 citations). Joseph DePasquale has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Robi Polikar, Gavin Brown, Ludmila I. Kuncheva, Paul P. Plucinsky, A. Vikhlinin, Herman L. Marshall, Gail Rosen, Norbert S. Schulz, I. R. Seitenzahl and Parviz Ghavamian. Their work appears in journals such as The Astrophysical Journal, Pattern Recognition and Computational Biology and Chemistry.
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.