Matthew Green
- Artificial Intelligence top 1%
- Information Systems top 1%
- Astronomy and Astrophysics top 5%
- Computational Theory and Mathematics top 2%
- Computer Networks and Communications top 5%
- Co-authors
- Susan HohenbergerBrent WatersJoseph A. AkinyeleMatthew W. PaganoAviel D. RubinChristina GarmanIan MiersMichael Rushanan
- Topics
- Stellar, planetary, and galactic studies (15 papers)Cryptography and Data Security (12 papers)Astrophysics and Star Formation Studies (10 papers)
- Journals
- The Astrophysical JournalMonthly Notices of the Royal Astronomical SocietyAstronomy and Astrophysics
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Matthew Green
36 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 1.0k
- Information Systems 621
- Astronomy and Astrophysics 265
- Computational Theory and Mathematics 234
- Computer Networks and Communications 199
Countries citing papers authored by Matthew Green
This map shows the geographic impact of Matthew Green'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 Matthew Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Green more than expected).
Fields of papers citing papers by Matthew Green
This network shows the impact of papers produced by Matthew Green. 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 Matthew Green. The network helps show where Matthew Green may publish in the future.
Co-authorship network of co-authors of Matthew Green
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Green. A scholar is included among the top collaborators of Matthew Green 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 Matthew Green. Matthew Green 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 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 11 | |
| 9 | 22 | |
| 10 | 12 | |
| 11 | 9 | |
| 12 | 14 | |
| 13 | 5 | |
| 14 | 16 | |
| 15 | 8 | |
| 16 | 29 | |
| 17 | 49 | |
| 18 | 18 | |
| 19 | Outsourcing the decryption of ABE ciphertextsbreakdown → | 412 |
| 20 | 43 |
About Matthew Green
Matthew Green is a scholar working on Astronomy and Astrophysics, Instrumentation and Artificial Intelligence, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Stellar, planetary, and galactic studies (15 papers), Cryptography and Data Security (12 papers) and Astrophysics and Star Formation Studies (10 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Information Systems (621 citations) and Instrumentation (90 citations). Matthew Green has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Susan Hohenberger, Brent Waters, Joseph A. Akinyele, Matthew W. Pagano, Aviel D. Rubin, Christina Garman, Ian Miers, Michael Rushanan, Kevin Fu and Giuseppe Ateniese. Their work appears in journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.
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.