Kathy Yelick
- Computer Networks and Communications top 2%
- Hardware and Architecture top 1%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Information Systems and Management
- Co-authors
- David CullerEugene D. BrooksJesse M. DraperWilliam W. CarlsonK.H. WarrenAlex AikenBen LiblitSusan L. Graham
- Topics
- Parallel Computing and Optimization Techniques (6 papers)Advanced Data Storage Technologies (4 papers)Distributed systems and fault tolerance (3 papers)
- Journals
- IEEE Transactions on ComputersParallel ComputingDSpace@MIT (Massachusetts Institute of Technology)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Kathy Yelick
13 papers receiving 707 citations
Peers
Comparison fields: 5 of 45
- Computer Networks and Communications 689
- Hardware and Architecture 592
- Information Systems 141
- Artificial Intelligence 111
- Information Systems and Management 22
Countries citing papers authored by Kathy Yelick
This map shows the geographic impact of Kathy Yelick'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 Kathy Yelick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathy Yelick more than expected).
Fields of papers citing papers by Kathy Yelick
This network shows the impact of papers produced by Kathy Yelick. 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 Kathy Yelick. The network helps show where Kathy Yelick may publish in the future.
Co-authorship network of co-authors of Kathy Yelick
This figure shows the co-authorship network connecting the top 25 collaborators of Kathy Yelick. A scholar is included among the top collaborators of Kathy Yelick 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 Kathy Yelick. Kathy Yelick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | UPC Language Specifications V1.1.1 | 126 |
| 7 | 22 | |
| 8 | Data Sharing Analysis for Titanium | 2 |
| 9 | Introduction to UPC and Language Specification | 192 |
| 10 | 122 | |
| 11 | 296 | |
| 12 | 5 | |
| 13 | A GENERALIZED APPROACH TO EQUATIONAL UNIFICATION | 3 |
About Kathy Yelick
Kathy Yelick is a scholar working on Hardware and Architecture, Computer Networks and Communications and Nuclear and High Energy Physics, having authored 13 papers that have together received 778 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (6 papers), Advanced Data Storage Technologies (4 papers) and Distributed systems and fault tolerance (3 papers). The work is most often cited by research in Hardware and Architecture (592 citations), Computer Networks and Communications (689 citations) and Information Systems (141 citations). Kathy Yelick has collaborated with scholars based in United States and Switzerland. Frequent co-authors include David Culler, Eugene D. Brooks, Jesse M. Draper, William W. Carlson, K.H. Warren, Alex Aiken, Ben Liblit, Susan L. Graham, Arvind Krishnamurthy and Luigi Semenzato. Their work appears in journals such as IEEE Transactions on Computers, Parallel Computing and DSpace@MIT (Massachusetts Institute of Technology).
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.