J. Mapel
Impact in
- Astronomy and Astrophysics top 10%
- Astro and Planetary Science
- Planetary Science and Exploration
- Solar and Space Plasma Dynamics
- Stellar, planetary, and galactic studies
- Ionosphere and magnetosphere dynamics
- Gamma-ray bursts and supernovae
Papers in ⓘ
- Geology 2
- 3D Surveying and Cultural Heritage 2
-
- Astronomy and Astrophysical Research 1
- Co-authors
- K. Berry (5 shared papers)K. M. Aye (1 shared paper)B. Carcich (1 shared paper)M. de Val-Borro (1 shared paper)Shin‐ya Murakami (1 shared paper)Shankar Kulumani (1 shared paper)Andrew M. Annex (1 shared paper)T. Becker (2 shared papers)
- Journals
- Earth and Space Science (1 paper)SHILAP Revista de lepidopterología (1 paper)Lunar and Planetary Science Conference (2 papers)The Journal of Open Source Software (1 paper)LPICo (2 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
J. Mapel
7 papers receiving 85 citations
Peers
Comparison fields: 5 of 29
- Astronomy and Astrophysics 78
- Geology 6
- Atmospheric Science 19
- Aerospace Engineering 22
- Instrumentation 3
Countries citing papers authored by J. Mapel
This map shows the geographic impact of J. Mapel'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 J. Mapel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Mapel more than expected).
Fields of papers citing papers by J. Mapel
This network shows the impact of papers produced by J. Mapel. 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 J. Mapel. The network helps show where J. Mapel may publish in the future.
Co-authors
The 23 scholars most cited alongside J. Mapel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 74 | |
| 2 | The USGS Integrated Software for Imagers and Spectrometers (ISIS 3) Instrument Support, New Capabilities, and Releases | 2017 | 14 |
| 3 | A New Approach to Create Image Control Networks in ISIS | 2017 | 2 |
| 4 | 2020 | 2 | |
| 5 | The Abstraction Layer for Ephemerides Library | 2019 | 1 |
| 6 | Updates to Integrated Software for Imagers and Spectrometers | 2018 | 1 |
| 7 | 2018 | 1 |
About J. Mapel
J. Mapel is a scholar working on Geology, Instrumentation, Geochemistry and Petrology, Astronomy and Astrophysics and Neurology, having authored 7 papers that have together received 95 indexed citations. Recurring topics across this work include Planetary Science and Exploration (2 papers), 3D Surveying and Cultural Heritage (2 papers), Computational Physics and Python Applications (1 paper), Astronomy and Astrophysical Research (1 paper), Satellite Image Processing and Photogrammetry (1 paper), Distributed and Parallel Computing Systems (1 paper), Brain Tumor Detection and Classification (1 paper) and Mathematics, Computing, and Information Processing (1 paper). The work is most often cited by research in Astronomy and Astrophysics (78 citations), Geology (6 citations), Atmospheric Science (19 citations), Aerospace Engineering (22 citations) and Instrumentation (3 citations). J. Mapel has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include K. Berry, K. M. Aye, B. Carcich, M. de Val-Borro, Shin‐ya Murakami, Shankar Kulumani, Andrew M. Annex, T. Becker, K. L. Edmundson and S. Sides. Their work appears in journals such as Earth and Space Science, SHILAP Revista de lepidopterología, Lunar and Planetary Science Conference, The Journal of Open Source Software and LPICo.
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.