Tom Rodeheffer
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Software top 5%
- Software Testing and Debugging Techniques
Papers in
-
- Cloud Computing and Resource Management 2
- Software Engineering Research 2
- Cloud Data Security Solutions 1
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- Distributed systems and fault tolerance 2
- Software-Defined Networks and 5G 1
- Distributed and Parallel Computing Systems 1
- Co-authors
- Yuan Yu (2 shared papers)Wei Chen (2 shared papers)Ramakrishna Kotla (1 shared paper)Benjamin Wester (1 shared paper)Patrick Stuedi (1 shared paper)Indrajit Roy (1 shared paper)Frank McSherry (1 shared paper)Chuck Thacker (1 shared paper)
- Journals
- ACM SIGOPS Operating Systems Review (1 paper)Operating Systems Design and Implementation (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Tom Rodeheffer
5 papers receiving 484 citations
Peers
Comparison fields: 5 of 16
- Hardware and Architecture 414
- Software 159
- Computer Networks and Communications 344
- Artificial Intelligence 132
- Information Systems 85
Countries citing papers authored by Tom Rodeheffer
This map shows the geographic impact of Tom Rodeheffer'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 Tom Rodeheffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Rodeheffer more than expected).
Fields of papers citing papers by Tom Rodeheffer
This network shows the impact of papers produced by Tom Rodeheffer. 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 Tom Rodeheffer. The network helps show where Tom Rodeheffer may publish in the future.
Co-authors
The 9 scholars most cited alongside Tom Rodeheffer, 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 | 2005 | 246 | |
| 2 | 2005 | 233 | |
| 3 | 2012 | 16 | |
| 4 | AN3: A Low-Cost, Circuit-Switched Datacenter Network | 2014 | 5 |
| 5 | Using DryadLINQ for Large Matrix Operations | 2011 | 1 |
| 6 | The Naiad Clock Protocol: Specification, Model Checking, and Correctness Proof | 2013 | 1 |
About Tom Rodeheffer
Tom Rodeheffer is a scholar working on Information Systems, Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence and Software, having authored 6 papers that have together received 502 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (2 papers), Software Testing and Debugging Techniques (2 papers), Software Engineering Research (2 papers), Distributed systems and fault tolerance (2 papers), Parallel Computing and Optimization Techniques (2 papers), Cloud Data Security Solutions (1 paper), Software-Defined Networks and 5G (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Hardware and Architecture (414 citations), Software (159 citations), Computer Networks and Communications (344 citations), Artificial Intelligence (132 citations) and Information Systems (85 citations). Tom Rodeheffer has collaborated with scholars based in United States and India. Frequent co-authors include Yuan Yu, Wei Chen, Ramakrishna Kotla, Benjamin Wester, Patrick Stuedi, Indrajit Roy, Frank McSherry, Chuck Thacker and Andreas Nowatzyk. Their work appears in journals such as ACM SIGOPS Operating Systems Review and Operating Systems Design and Implementation.
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.