Andrew Drucker
- Computational Theory and Mathematics top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Atomic and Molecular Physics, and Optics
- Electrical and Electronic Engineering
- Co-authors
- Rotem OshmanFabian KühnRonald de WolfScott AaronsonBill FeffermanSalman BeigiPeter W. ShorJesper Nederlof
- Topics
- Complexity and Algorithms in Graphs (12 papers)Machine Learning and Algorithms (9 papers)Quantum Computing Algorithms and Architecture (7 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceComputer Networks and Communications
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Andrew Drucker
17 papers receiving 194 citations
Peers
Comparison fields: 5 of 24
- Computational Theory and Mathematics 179
- Artificial Intelligence 127
- Computer Networks and Communications 61
- Atomic and Molecular Physics, and Optics 18
- Electrical and Electronic Engineering 11
Countries citing papers authored by Andrew Drucker
This map shows the geographic impact of Andrew Drucker'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 Andrew Drucker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Drucker more than expected).
Fields of papers citing papers by Andrew Drucker
This network shows the impact of papers produced by Andrew Drucker. 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 Andrew Drucker. The network helps show where Andrew Drucker may publish in the future.
Co-authorship network of co-authors of Andrew Drucker
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Drucker. A scholar is included among the top collaborators of Andrew Drucker 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 Andrew Drucker. Andrew Drucker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 29 | |
| 4 | 4 | |
| 5 | 56 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 27 | |
| 10 | 8 | |
| 11 | 12 | |
| 12 | 7 | |
| 13 | 18 | |
| 14 | 3 | |
| 15 | Multiplying 10-digit numbers using Flickr: The power of recognition memory | 2 |
| 16 | 0 | |
| 17 | 2 | |
| 18 | 25 | |
| 19 | 11 |
About Andrew Drucker
Andrew Drucker is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 19 papers that have together received 216 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (12 papers), Machine Learning and Algorithms (9 papers) and Quantum Computing Algorithms and Architecture (7 papers). The work is most often cited by research in Computational Theory and Mathematics (179 citations), Artificial Intelligence (127 citations) and Computer Networks and Communications (61 citations). Andrew Drucker has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Rotem Oshman, Fabian Kühn, Ronald de Wolf, Scott Aaronson, Bill Fefferman, Salman Beigi, Peter W. Shor, Jesper Nederlof, Mika Göös and Li-Yang Tan. Their work appears in journals such as SIAM Journal on Computing, Theoretical Computer Science and Lecture notes in computer science.
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.