Casey J. Helfrich
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 10%
- Information Systems top 10%
- Artificial Intelligence
- Co-authors
- Mahadev SatyanarayananJames KuffnerDave FergusonRosen DiankovMichael A. KozuchSiddhartha S SrinivasaGeoffrey A. HollingerDmitry Berenson
- Topics
- Advanced Data Storage Technologies (3 papers)Cloud Computing and Remote Desktop Technologies (2 papers)Peer-to-Peer Network Technologies (1 paper)
- Cited by
- Hardware and ArchitectureComputer Vision and Pattern RecognitionComputer Networks and Communications
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Casey J. Helfrich
7 papers receiving 367 citations
Peers
Comparison fields: 5 of 49
- Computer Networks and Communications 161
- Computer Vision and Pattern Recognition 149
- Control and Systems Engineering 135
- Information Systems 103
- Artificial Intelligence 67
Countries citing papers authored by Casey J. Helfrich
This map shows the geographic impact of Casey J. Helfrich'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 Casey J. Helfrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Casey J. Helfrich more than expected).
Fields of papers citing papers by Casey J. Helfrich
This network shows the impact of papers produced by Casey J. Helfrich. 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 Casey J. Helfrich. The network helps show where Casey J. Helfrich may publish in the future.
Co-authorship network of co-authors of Casey J. Helfrich
This figure shows the co-authorship network connecting the top 25 collaborators of Casey J. Helfrich. A scholar is included among the top collaborators of Casey J. Helfrich 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 Casey J. Helfrich. Casey J. Helfrich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 216 | |
| 2 | 20 | |
| 3 | 85 | |
| 4 | 5 | |
| 5 | 46 | |
| 6 | OpenCAS: A Flexible Architecture for Content Addressable Storage. | 2 |
| 7 | 22 |
About Casey J. Helfrich
Casey J. Helfrich is a scholar working on Hardware and Architecture, Biophysics and Information Systems and Management, having authored 7 papers that have together received 396 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (3 papers), Cloud Computing and Remote Desktop Technologies (2 papers) and Peer-to-Peer Network Technologies (1 paper). The work is most often cited by research in Hardware and Architecture (61 citations), Computer Vision and Pattern Recognition (149 citations) and Computer Networks and Communications (161 citations). Casey J. Helfrich has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Mahadev Satyanarayanan, James Kuffner, Dave Ferguson, Rosen Diankov, Michael A. Kozuch, Siddhartha S Srinivasa, Geoffrey A. Hollinger, Dmitry Berenson, Garratt Gallagher and Alvaro Collet. Their work appears in journals such as Computer, Autonomous Robots and IEEE Internet Computing.
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.