M.A. Siegler
- Astronomy and Astrophysics top 1%
- Aerospace Engineering top 2%
- Artificial Intelligence top 5%
- Atmospheric Science top 5%
- Signal Processing top 2%
- Co-authors
- D. A. PaigeP. O. HayneJ. P. WilliamsB. T. GreenhagenP. G. LuceyA. R. VasavadaJianqing FengB. G. Bills
- Topics
- Planetary Science and Exploration (92 papers)Astro and Planetary Science (64 papers)Space Exploration and Technology (28 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
M.A. Siegler
107 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 122
- Astronomy and Astrophysics 1.9k
- Aerospace Engineering 671
- Artificial Intelligence 412
- Atmospheric Science 288
- Signal Processing 274
Countries citing papers authored by M.A. Siegler
This map shows the geographic impact of M.A. Siegler'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 M.A. Siegler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.A. Siegler more than expected).
Fields of papers citing papers by M.A. Siegler
This network shows the impact of papers produced by M.A. Siegler. 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 M.A. Siegler. The network helps show where M.A. Siegler may publish in the future.
Co-authorship network of co-authors of M.A. Siegler
This figure shows the co-authorship network connecting the top 25 collaborators of M.A. Siegler. A scholar is included among the top collaborators of M.A. Siegler 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 M.A. Siegler. M.A. Siegler 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 | 5 | |
| 3 | 28 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 36 | |
| 8 | 29 | |
| 9 | 6 | |
| 10 | 12 | |
| 11 | 22 | |
| 12 | 12 | |
| 13 | Global Heat Flux Predictions for Landing Sites: Polar Advantages | 1 |
| 14 | 10 | |
| 15 | Lunar Global Heat Flow: Predictions and Constraints | 1 |
| 16 | Search for Transient Surface Water Ice at the Lunar South Pole: Results from LOLA and Diviner | 1 |
| 17 | Characterization of Lunar Polar and Non-Polar Permanent Shadow Physical and Thermal Characteristics via Mini-RF and DIVINER | 1 |
| 18 | Investigating potential sources of enhanced rock abundances near Tsiolkovskiy Crater | 1 |
| 19 | On Estimating The Geographic Distribution Of Social Media | 6 |
| 20 | Experiments in Spoken Document Retrieval at CMU | 19 |
About M.A. Siegler
M.A. Siegler is a scholar working on Astronomy and Astrophysics, Aerospace Engineering and Statistical and Nonlinear Physics, having authored 114 papers that have together received 2.7k indexed citations. Recurring topics across this work include Planetary Science and Exploration (92 papers), Astro and Planetary Science (64 papers) and Space Exploration and Technology (28 papers). The work is most often cited by research in Astronomy and Astrophysics (1.9k citations), Aerospace Engineering (671 citations) and Signal Processing (274 citations). M.A. Siegler has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include D. A. Paige, P. O. Hayne, J. P. Williams, B. T. Greenhagen, P. G. Lucey, A. R. Vasavada, Jianqing Feng, B. G. Bills, J. L. Bandfield and Richard M. Stern. Their work appears in journals such as Nature, Science and Journal of Geophysical Research Atmospheres.
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.