Don Monroe

699 total citations
23 papers, 445 citations indexed

About

Don Monroe is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computational Theory and Mathematics. According to data from OpenAlex, Don Monroe has authored 23 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Cognitive Neuroscience and 2 papers in Computational Theory and Mathematics. Recurrent topics in Don Monroe's work include Quantum Computing Algorithms and Architecture (2 papers), Computability, Logic, AI Algorithms (2 papers) and Neural dynamics and brain function (1 paper). Don Monroe is often cited by papers focused on Quantum Computing Algorithms and Architecture (2 papers), Computability, Logic, AI Algorithms (2 papers) and Neural dynamics and brain function (1 paper). Don Monroe collaborates with scholars based in United States. Don Monroe's co-authors include Gustavo Stolovitzky and Andrea Califano and has published in prestigious journals such as Communications of the ACM, Annals of the New York Academy of Sciences and Physics.

In The Last Decade

Don Monroe

18 papers receiving 421 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Don Monroe United States 6 226 127 91 38 33 23 445
Emma Byrne United Kingdom 5 187 0.8× 125 1.0× 36 0.4× 32 0.8× 64 1.9× 9 523
Simone Spolaor Italy 12 112 0.5× 173 1.4× 74 0.8× 11 0.3× 67 2.0× 36 395
David Budden Australia 12 165 0.7× 140 1.1× 37 0.4× 32 0.8× 24 0.7× 28 491
Simon L. Harding United Kingdom 10 101 0.4× 308 2.4× 105 1.2× 36 0.9× 57 1.7× 13 410
Chengwei Lei United States 10 170 0.8× 87 0.7× 56 0.6× 50 1.3× 37 1.1× 30 383
Yijie Pan China 7 211 0.9× 84 0.7× 15 0.2× 107 2.8× 35 1.1× 19 487
Katarzyna Stąpor Poland 16 342 1.5× 82 0.6× 24 0.3× 67 1.8× 32 1.0× 76 590
Marcelo Blatt Israel 8 225 1.0× 253 2.0× 26 0.3× 90 2.4× 45 1.4× 12 666
Aaron Adler United States 13 211 0.9× 138 1.1× 18 0.2× 34 0.9× 9 0.3× 38 458
An Wang China 11 167 0.7× 108 0.9× 47 0.5× 11 0.3× 11 0.3× 53 401

Countries citing papers authored by Don Monroe

Since Specialization
Citations

This map shows the geographic impact of Don Monroe'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 Don Monroe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Don Monroe more than expected).

Fields of papers citing papers by Don Monroe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Don Monroe. 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 Don Monroe. The network helps show where Don Monroe may publish in the future.

Co-authorship network of co-authors of Don Monroe

This figure shows the co-authorship network connecting the top 25 collaborators of Don Monroe. A scholar is included among the top collaborators of Don Monroe 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 Don Monroe. Don Monroe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Monroe, Don. (2024). More Efficient Fault-Tolerant Quantum Computing. Communications of the ACM. 67(5). 26–28.
2.
Monroe, Don. (2024). Addressing the Data Storage Crisis. Communications of the ACM. 68(1). 17–19.
3.
Monroe, Don. (2023). Artificial Intelligence for Materials Discovery. Communications of the ACM. 66(4). 9–11. 1 indexed citations
4.
Monroe, Don. (2023). Post-Quantum Cryptography. Communications of the ACM. 66(2). 15–17. 3 indexed citations
5.
Monroe, Don. (2022). Building a practical quantum computer. Communications of the ACM. 65(7). 15–17. 4 indexed citations
6.
Monroe, Don. (2022). Neurosymbolic AI. Communications of the ACM. 65(10). 11–13. 4 indexed citations
7.
Monroe, Don. (2020). Fugaku takes the lead. Communications of the ACM. 64(1). 16–18. 8 indexed citations
8.
Monroe, Don. (2020). A proof from 'the book'. Communications of the ACM. 63(5). 27–29. 1 indexed citations
9.
Monroe, Don. (2018). Chips for artificial intelligence. Communications of the ACM. 61(4). 15–17. 7 indexed citations
10.
Monroe, Don. (2018). AI, explain yourself. Communications of the ACM. 61(11). 11–13. 22 indexed citations
11.
Monroe, Don. (2017). Digital hearing. Communications of the ACM. 60(10). 18–20. 1 indexed citations
12.
Monroe, Don. (2017). Deep learning takes on translation. Communications of the ACM. 60(6). 12–14. 12 indexed citations
13.
Monroe, Don. (2014). Neuromorphic computing gets ready for the (really) big time. Communications of the ACM. 57(6). 13–15. 110 indexed citations
14.
Monroe, Don. (2013). Model Suggests Link between Intelligence and Entropy. Physics. 6. 1 indexed citations
15.
Monroe, Don. (2012). Connecting a Thin-Shell’s Stiffness with Its Geometry. Physics. 5. 1 indexed citations
16.
Monroe, Don. (2010). Pinpointing Earthly Gamma Rays. 26. 1 indexed citations
17.
Monroe, Don. (2009). One-way Mirror for Sound Waves. 24. 1 indexed citations
18.
Monroe, Don. (2009). Micromedicine to the rescue. Communications of the ACM. 52(6). 13–15. 1 indexed citations
19.
Stolovitzky, Gustavo, Don Monroe, & Andrea Califano. (2007). Dialogue on Reverse‐Engineering Assessment and Methods. Annals of the New York Academy of Sciences. 1115(1). 1–22. 261 indexed citations
20.
Monroe, Don. (2004). Complexity is Elusive. 13. 1 indexed citations

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.

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