Chris Douglas
- Information Systems top 0.5%
- Computer Networks and Communications top 1%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Hardware and Architecture top 5%
- Co-authors
- Carlo CurinoBenjamin ReedOwen O'MalleyRobert EvansJason LoweSharad AgarwalHitesh ShahBikas Saha
- Topics
- Cloud Computing and Resource Management (12 papers)Distributed and Parallel Computing Systems (6 papers)Advanced Data Storage Technologies (6 papers)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Chris Douglas
17 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Information Systems 1.3k
- Computer Networks and Communications 1.3k
- Artificial Intelligence 273
- Computer Vision and Pattern Recognition 234
- Hardware and Architecture 184
Countries citing papers authored by Chris Douglas
This map shows the geographic impact of Chris Douglas'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 Chris Douglas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Douglas more than expected).
Fields of papers citing papers by Chris Douglas
This network shows the impact of papers produced by Chris Douglas. 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 Chris Douglas. The network helps show where Chris Douglas may publish in the future.
Co-authorship network of co-authors of Chris Douglas
This figure shows the co-authorship network connecting the top 25 collaborators of Chris Douglas. A scholar is included among the top collaborators of Chris Douglas 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 Chris Douglas. Chris Douglas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | Hydra: a federated resource manager for data-center scale analytics | 20 |
| 5 | 14 | |
| 6 | 72 | |
| 7 | 3 | |
| 8 | Mercury: hybrid centralized and distributed scheduling in large shared clusters | 78 |
| 9 | 11 | |
| 10 | 1 | |
| 11 | 90 | |
| 12 | 13 | |
| 13 | Apache Hadoop YARNbreakdown → | 1233 |
| 14 | 24 | |
| 15 | 12 | |
| 16 | Gridmix3: Emulating Production {IO} Workload for Apache Hadoop | 1 |
| 17 | A Novel Way to Analyze Competiive Performance of Online Algorithms | 3 |
| 18 | 5 | |
| 19 | Data-driven Modeling and Synthesis of Acoustical Instruments | 8 |
About Chris Douglas
Chris Douglas is a scholar working on Information Systems, Computer Networks and Communications and Applied Psychology, having authored 19 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (12 papers), Distributed and Parallel Computing Systems (6 papers) and Advanced Data Storage Technologies (6 papers). The work is most often cited by research in Information Systems (1.3k citations), Computer Networks and Communications (1.3k citations) and Hardware and Architecture (184 citations). Chris Douglas has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Carlo Curino, Benjamin Reed, Owen O'Malley, Robert Evans, Jason Lowe, Sharad Agarwal, Hitesh Shah, Bikas Saha, Sanjay Radia and Raghu Ramakrishnan. Their work appears in journals such as Proceedings of the VLDB Endowment, npj Digital Medicine and Journal of New Music Research.
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.