Marshall Ball
Impact in
- Artificial Intelligence top 10%
- Cryptography and Data Security
- Cryptographic Implementations and Security
- Privacy-Preserving Technologies in Data
- Coding theory and cryptography
- Internet Traffic Analysis and Secure E-voting
- Quantum Computing Algorithms and Architecture
-
- Complexity and Algorithms in Graphs
Papers in
-
- Cryptography and Data Security 19
- Cryptographic Implementations and Security 6
- Internet Traffic Analysis and Secure E-voting 4
- Coding theory and cryptography 4
- Privacy-Preserving Technologies in Data 4
- Machine Learning and Algorithms 3
-
- Complexity and Algorithms in Graphs 11
- Co-authors
- Tal Malkin (11 shared papers)Dana Dachman-Soled (6 shared papers)Mike Rosulek (1 shared paper)Huijia Lin (2 shared papers)Tianren Liu (2 shared papers)Daniel Wichs (1 shared paper)Siyao Guo (1 shared paper)Elette Boyle (4 shared papers)
- Journals
- Lecture notes in computer science (14 papers)Journal of Cryptology (1 paper)Optica (1 paper)Entropy (1 paper)DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) (4 papers)
- Partner nations
- United StatesIsraelFrance
In The Last Decade
Marshall Ball
22 papers receiving 214 citations
Peers
Comparison fields: 5 of 18
- Artificial Intelligence 215
- Computational Theory and Mathematics 80
- Computer Vision and Pattern Recognition 27
- Acoustics and Ultrasonics 1
- Hardware and Architecture 5
Countries citing papers authored by Marshall Ball
This map shows the geographic impact of Marshall Ball'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 Marshall Ball with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marshall Ball more than expected).
Fields of papers citing papers by Marshall Ball
This network shows the impact of papers produced by Marshall Ball. 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 Marshall Ball. The network helps show where Marshall Ball may publish in the future.
Co-authors
The 25 scholars most cited alongside Marshall Ball, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 45 | |
| 2 | 2016 | 41 | |
| 3 | 2018 | 22 | |
| 4 | 2023 | 20 | |
| 5 | 2019 | 13 | |
| 6 | 2023 | 13 | |
| 7 | 2019 | 11 | |
| 8 | 2018 | 8 | |
| 9 | 2020 | 7 | |
| 10 | 2020 | 7 | |
| 11 | 2020 | 6 | |
| 12 | 2022 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 2020 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2021 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2023 | 1 |
About Marshall Ball
Marshall Ball is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Statistics and Probability, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 26 papers that have together received 223 indexed citations. Recurring topics across this work include Cryptography and Data Security (19 papers), Complexity and Algorithms in Graphs (11 papers), Cryptographic Implementations and Security (6 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Coding theory and cryptography (4 papers), Privacy-Preserving Technologies in Data (4 papers), Machine Learning and Algorithms (3 papers) and Markov Chains and Monte Carlo Methods (2 papers). The work is most often cited by research in Artificial Intelligence (215 citations), Computational Theory and Mathematics (80 citations), Computer Vision and Pattern Recognition (27 citations), Acoustics and Ultrasonics (1 citation) and Hardware and Architecture (5 citations). Marshall Ball has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Tal Malkin, Dana Dachman-Soled, Mike Rosulek, Huijia Lin, Tianren Liu, Daniel Wichs, Siyao Guo, Elette Boyle, Hanjun Li and Tal Moran. Their work appears in journals such as Lecture notes in computer science, Journal of Cryptology, Optica, Entropy and DROPS (Schloss Dagstuhl – Leibniz Center for Informatics).
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.