Claris Castillo
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Hardware and Architecture top 10%
- Information Systems and Management top 10%
- Management Science and Operations Research
- Co-authors
- Khaled HarfoushGeorge N. RouskasMałgorzata SteinderMike SpreitzerAsser TantawiNavraj ChohanChandra KrintzFan Jiang
- Topics
- Cloud Computing and Resource Management (11 papers)Distributed and Parallel Computing Systems (9 papers)Parallel Computing and Optimization Techniques (4 papers)
- Journals
- The International Journal of High Performance Computing ApplicationsProceedings - IEEE International Parallel and Distributed Processing SymposiumIEEE International Conference on Cloud Computing Technology and Science
- Partner nations
- United StatesPoland
In The Last Decade
Claris Castillo
13 papers receiving 246 citations
Peers
Comparison fields: 5 of 22
- Computer Networks and Communications 231
- Information Systems 215
- Hardware and Architecture 48
- Information Systems and Management 34
- Management Science and Operations Research 23
Countries citing papers authored by Claris Castillo
This map shows the geographic impact of Claris Castillo'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 Claris Castillo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claris Castillo more than expected).
Fields of papers citing papers by Claris Castillo
This network shows the impact of papers produced by Claris Castillo. 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 Claris Castillo. The network helps show where Claris Castillo may publish in the future.
Co-authorship network of co-authors of Claris Castillo
This figure shows the co-authorship network connecting the top 25 collaborators of Claris Castillo. A scholar is included among the top collaborators of Claris Castillo 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 Claris Castillo. Claris Castillo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 21 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | See spot run: using spot instances for mapreduce workflows | 127 |
| 10 | 10 | |
| 11 | On the design of efficient resource allocation mechanisms for grids | 2 |
| 12 | 27 | |
| 13 | 47 |
About Claris Castillo
Claris Castillo is a scholar working on Hardware and Architecture, Information Systems and Management and Computer Networks and Communications, having authored 13 papers that have together received 265 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (11 papers), Distributed and Parallel Computing Systems (9 papers) and Parallel Computing and Optimization Techniques (4 papers). The work is most often cited by research in Computer Networks and Communications (231 citations), Information Systems (215 citations) and Hardware and Architecture (48 citations). Claris Castillo has collaborated with scholars based in United States and Poland. Frequent co-authors include Khaled Harfoush, George N. Rouskas, Małgorzata Steinder, Mike Spreitzer, Asser Tantawi, Navraj Chohan, Chandra Krintz, Fan Jiang, Ilya Baldin and Anirban Mandal. Their work appears in journals such as The International Journal of High Performance Computing Applications, Proceedings - IEEE International Parallel and Distributed Processing Symposium and IEEE International Conference on Cloud Computing Technology and Science.
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.