Philip M. Wells
- Computer Networks and Communications top 2%
- Information Systems top 2%
- Hardware and Architecture top 2%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Gurindar S. SohiKoushik ChakrabortyMichael R. MartyDennis AbtsHong LiuMichael E. MullinsAndrew KlineTony Rogers
- Topics
- Parallel Computing and Optimization Techniques (17 papers)Radiation Effects in Electronics (10 papers)Cloud Computing and Resource Management (7 papers)
- Journals
- IEEE Transactions on Parallel and Distributed SystemsFluid Phase EquilibriaACM SIGPLAN Notices
- Partner nations
- United States
In The Last Decade
Philip M. Wells
21 papers receiving 696 citations
Hit Papers
Peers
Comparison fields: 5 of 29
- Computer Networks and Communications 608
- Information Systems 380
- Hardware and Architecture 335
- Electrical and Electronic Engineering 293
- Artificial Intelligence 26
Countries citing papers authored by Philip M. Wells
This map shows the geographic impact of Philip M. Wells'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 Philip M. Wells with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip M. Wells more than expected).
Fields of papers citing papers by Philip M. Wells
This network shows the impact of papers produced by Philip M. Wells. 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 Philip M. Wells. The network helps show where Philip M. Wells may publish in the future.
Co-authorship network of co-authors of Philip M. Wells
This figure shows the co-authorship network connecting the top 25 collaborators of Philip M. Wells. A scholar is included among the top collaborators of Philip M. Wells 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 Philip M. Wells. Philip M. Wells 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 | Energy proportional datacenter networksbreakdown → | 318 |
| 3 | 110 | |
| 4 | 43 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | Adapting to dynamic heterogeneity: virtualization for the multicore era | 1 |
| 10 | 49 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 8 | |
| 14 | A Case for an Over-provisioned Multicore System: Energy Efficient Processing of Multithreaded Programs | 10 |
| 15 | 4 | |
| 16 | 83 | |
| 17 | 53 | |
| 18 | 1 | |
| 19 | Simulation of Self-similar Network Traffic Using High Variance ON/OFF Sources | 2 |
| 20 | 3 |
About Philip M. Wells
Philip M. Wells is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 21 papers that have together received 731 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (17 papers), Radiation Effects in Electronics (10 papers) and Cloud Computing and Resource Management (7 papers). The work is most often cited by research in Hardware and Architecture (335 citations), Computer Networks and Communications (608 citations) and Information Systems (380 citations). Philip M. Wells has collaborated with scholars based in United States. Frequent co-authors include Gurindar S. Sohi, Koushik Chakraborty, Michael R. Marty, Dennis Abts, Hong Liu, Hong Liu, Michael E. Mullins, Andrew Kline and Tony Rogers. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Fluid Phase Equilibria and ACM SIGPLAN Notices.
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.