Alan Geller
Impact in
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- Distributed systems and fault tolerance
- IoT and Edge/Fog Computing
- Distributed and Parallel Computing Systems
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- Advanced Queuing Theory Analysis
Papers in
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- Distributed and Parallel Computing Systems 2
- Network Traffic and Congestion Control 1
- Distributed systems and fault tolerance 1
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- Cloud Computing and Resource Management 4
- Co-authors
- Gabriel Kliot (4 shared papers)James R. Larus (3 shared papers)Qiaomin Xie (1 shared paper)Albert Greenberg (1 shared paper)Yi Lu (1 shared paper)Jørgen Thelin (3 shared papers)Ravi Pandya (2 shared papers)Bettina Heim (2 shared papers)
- Journals
- Nature Reviews Physics (1 paper)Quantum Information and Computation (1 paper)Performance Evaluation (1 paper)Frontiers in Physics (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Alan Geller
7 papers receiving 456 citations
Peers
Comparison fields: 5 of 37
- Computer Networks and Communications 351
- Management Information Systems 110
- Information Systems 257
- Hardware and Architecture 47
- Artificial Intelligence 112
Countries citing papers authored by Alan Geller
This map shows the geographic impact of Alan Geller'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 Alan Geller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Geller more than expected).
Fields of papers citing papers by Alan Geller
This network shows the impact of papers produced by Alan Geller. 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 Alan Geller. The network helps show where Alan Geller may publish in the future.
Co-authors
The 16 scholars most cited alongside Alan Geller, 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 | 2011 | 233 | |
| 2 | 2011 | 93 | |
| 3 | 2020 | 68 | |
| 4 | Orleans: Distributed Virtual Actors for Programmability and Scalability | 2014 | 56 |
| 5 | 2022 | 22 | |
| 6 | 2015 | 14 | |
| 7 | Orleans: A Framework for Cloud Computing | 2010 | 8 |
About Alan Geller
Alan Geller is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Atomic and Molecular Physics, and Optics and Hardware and Architecture, having authored 7 papers that have together received 494 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (4 papers), Quantum Computing Algorithms and Architecture (3 papers), Quantum Information and Cryptography (3 papers), Distributed and Parallel Computing Systems (2 papers), Parallel Computing and Optimization Techniques (2 papers), Neural Networks and Reservoir Computing (1 paper), Network Traffic and Congestion Control (1 paper) and Distributed systems and fault tolerance (1 paper). The work is most often cited by research in Computer Networks and Communications (351 citations), Management Information Systems (110 citations), Information Systems (257 citations), Hardware and Architecture (47 citations) and Artificial Intelligence (112 citations). Alan Geller has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Gabriel Kliot, James R. Larus, Qiaomin Xie, Albert Greenberg, Yi Lu, Jørgen Thelin, Ravi Pandya, Bettina Heim, Martin Roetteler and Philip A. Bernstein. Their work appears in journals such as Nature Reviews Physics, Quantum Information and Computation, Performance Evaluation, Frontiers in Physics and Infoscience (Ecole Polytechnique Fédérale de Lausanne).
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.