Jeremy Casas
- Computer Networks and Communications top 5%
- Hardware and Architecture top 5%
- Information Systems top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Dmitri LoguinovXiaoming WangJonathan WalpoleSteve W. OttoRavi KonuruJin YangDebjit PalZhenkun Yang
- Topics
- Parallel Computing and Optimization Techniques (7 papers)Distributed and Parallel Computing Systems (6 papers)Cloud Computing and Resource Management (3 papers)
- Journals
- IEEE Transactions on ComputersIEEE/ACM Transactions on NetworkingConference on High Performance Computing (Supercomputing)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Jeremy Casas
9 papers receiving 194 citations
Peers
Comparison fields: 5 of 26
- Computer Networks and Communications 202
- Hardware and Architecture 86
- Information Systems 47
- Artificial Intelligence 12
- Electrical and Electronic Engineering 10
Countries citing papers authored by Jeremy Casas
This map shows the geographic impact of Jeremy Casas'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 Jeremy Casas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeremy Casas more than expected).
Fields of papers citing papers by Jeremy Casas
This network shows the impact of papers produced by Jeremy Casas. 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 Jeremy Casas. The network helps show where Jeremy Casas may publish in the future.
Co-authorship network of co-authors of Jeremy Casas
This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy Casas. A scholar is included among the top collaborators of Jeremy Casas 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 Jeremy Casas. Jeremy Casas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 85 | |
| 5 | 16 | |
| 6 | 7 | |
| 7 | Gestión clínica: evaluación del proceso formativo | 2 |
| 8 | MIST: PVM with Transparent Migration and Checkpointing | 41 |
| 9 | Scheduling of Parallel Jobs on Dynamic, Heterogenous Networks | 2 |
| 10 | 51 | |
| 11 | 4 |
About Jeremy Casas
Jeremy Casas is a scholar working on Hardware and Architecture, Computer Networks and Communications and Geriatrics and Gerontology, having authored 11 papers that have together received 213 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (7 papers), Distributed and Parallel Computing Systems (6 papers) and Cloud Computing and Resource Management (3 papers). The work is most often cited by research in Hardware and Architecture (86 citations), Computer Networks and Communications (202 citations) and Information Systems (47 citations). Jeremy Casas has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Dmitri Loguinov, Xiaoming Wang, Jonathan Walpole, Steve W. Otto, Ravi Konuru, Jin Yang, Debjit Pal, Zhenkun Yang, Yi‐Hsiang Lai and Louis-Noël Pouchet. Their work appears in journals such as IEEE Transactions on Computers, IEEE/ACM Transactions on Networking and Conference on High Performance Computing (Supercomputing).
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.