Marshall Ball
Impact in
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- Cryptography and Data Security
- Neural Networks and Reservoir Computing
- Privacy-Preserving Technologies in Data
- Cryptographic Implementations and Security
Papers in
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- Cryptography and Data Security 5
- Quantum Computing Algorithms and Architecture 2
- Bayesian Modeling and Causal Inference 1
- Coding theory and cryptography 1
- Neural Networks and Applications 1
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- Complexity and Algorithms in Graphs 3
- semigroups and automata theory 2
- Co-authors
- Tal Malkin (5 shared papers)Mike Rosulek (1 shared paper)Nathnael Abebe (1 shared paper)Bogdan Penkovsky (1 shared paper)Tae‐Won Park (1 shared paper)Maziyar Milanizadeh (1 shared paper)Andrea Melloni (1 shared paper)David A. B. Miller (1 shared paper)
- Journals
- Journal of Cryptology (1 paper)Optica (1 paper)Entropy (1 paper)DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) (4 papers)
- Partner nations
- United StatesIsraelNetherlands
In The Last Decade
Marshall Ball
6 papers receiving 38 citations
Peers
Comparison fields: 5 of 12
- Artificial Intelligence 40
- Acoustics and Ultrasonics 1
- Computational Theory and Mathematics 7
- Hardware and Architecture 2
- Electrical and Electronic Engineering 16
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 17 | |
| 2 | 2016 | 17 | |
| 3 | 2022 | 4 | |
| 4 | 2020 | 2 | |
| 5 | 2020 | 2 | |
| 6 | 2021 | 1 | |
| 7 | 2023 | 0 | |
| 8 | 2022 | 0 | |
| 9 | 2023 | 0 |
About Marshall Ball
Marshall Ball is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Electrical and Electronic Engineering, Statistics and Probability and Infectious Diseases, having authored 9 papers that have together received 43 indexed citations. Recurring topics across this work include Cryptography and Data Security (5 papers), Complexity and Algorithms in Graphs (3 papers), Quantum Computing Algorithms and Architecture (2 papers), semigroups and automata theory (2 papers), Bayesian Modeling and Causal Inference (1 paper), Coding theory and cryptography (1 paper), Neural Networks and Applications (1 paper) and Markov Chains and Monte Carlo Methods (1 paper). The work is most often cited by research in Artificial Intelligence (40 citations), Acoustics and Ultrasonics (1 citation), Computational Theory and Mathematics (7 citations), Hardware and Architecture (2 citations) and Electrical and Electronic Engineering (16 citations). Marshall Ball has collaborated with scholars based in United States, Israel and Netherlands. Frequent co-authors include Tal Malkin, Mike Rosulek, Nathnael Abebe, Bogdan Penkovsky, Tae‐Won Park, Maziyar Milanizadeh, Andrea Melloni, David A. B. Miller, Sunil Pai and Francesco Morichetti. Their work appears in journals such as 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.