Philip M. Wells

977 total citations · 1 hit paper
21 papers, 731 citations indexed

About

Philip M. Wells is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Philip M. Wells has authored 21 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Hardware and Architecture, 13 papers in Computer Networks and Communications and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Philip M. Wells's work include Parallel Computing and Optimization Techniques (17 papers), Radiation Effects in Electronics (10 papers) and Cloud Computing and Resource Management (7 papers). Philip M. Wells is often cited by papers focused on Parallel Computing and Optimization Techniques (17 papers), Radiation Effects in Electronics (10 papers) and Cloud Computing and Resource Management (7 papers). Philip M. Wells collaborates with scholars based in United States. Philip M. Wells's co-authors include Gurindar S. Sohi, Koushik Chakraborty, Dennis Abts, Michael R. Marty, Hong Liu, Hong Liu, Tony Rogers, Andrew Kline and Michael E. Mullins and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, Fluid Phase Equilibria and ACM SIGPLAN Notices.

In The Last Decade

Philip M. Wells

21 papers receiving 696 citations

Hit Papers

Energy proportional datac... 2010 2026 2015 2020 2010 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Philip M. Wells United States 9 608 380 335 293 26 21 731
Robert Stets United States 10 762 1.3× 160 0.4× 716 2.1× 143 0.5× 30 1.2× 17 846
Zvika Guz United States 12 494 0.8× 142 0.4× 361 1.1× 107 0.4× 16 0.6× 17 522
Kyle J. Nesbit United States 9 846 1.4× 249 0.7× 844 2.5× 97 0.3× 50 1.9× 10 927
Shang-Tse Chuang United States 11 1.0k 1.7× 107 0.3× 306 0.9× 585 2.0× 31 1.2× 17 1.1k
José A. Joao United States 11 397 0.7× 119 0.3× 438 1.3× 87 0.3× 89 3.4× 21 497
David Chaiken United States 9 798 1.3× 88 0.2× 739 2.2× 117 0.4× 32 1.2× 18 848
Doug Joseph United States 8 621 1.0× 67 0.2× 581 1.7× 114 0.4× 50 1.9× 9 708
Nidhi Aggarwal United States 6 360 0.6× 103 0.3× 387 1.2× 171 0.6× 22 0.8× 7 455
Barton Sano United States 8 556 0.9× 65 0.2× 579 1.7× 190 0.6× 40 1.5× 12 675
Srikanth T. Srinivasan United States 13 663 1.1× 82 0.2× 807 2.4× 383 1.3× 26 1.0× 23 861

Countries citing papers authored by Philip M. Wells

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Chakraborty, Koushik, Philip M. Wells, & Gurindar S. Sohi. (2011). Supporting Overcommitted Virtual Machines through Hardware Spin Detection. IEEE Transactions on Parallel and Distributed Systems. 23(2). 353–366. 10 indexed citations
2.
Abts, Dennis, et al.. (2010). Energy proportional datacenter networks. ACM SIGARCH Computer Architecture News. 38(3). 338–347. 110 indexed citations
3.
Abts, Dennis, et al.. (2010). Energy proportional datacenter networks. 338–347. 318 indexed citations breakdown →
4.
Wells, Philip M., Koushik Chakraborty, & Gurindar S. Sohi. (2009). Mixed-mode multicore reliability. 169–180. 43 indexed citations
5.
Wells, Philip M., Koushik Chakraborty, & Gurindar S. Sohi. (2009). Mixed-mode multicore reliability. ACM SIGPLAN Notices. 44(3). 169–180. 3 indexed citations
6.
Wells, Philip M., Koushik Chakraborty, & Gurindar S. Sohi. (2009). Mixed-mode multicore reliability. ACM SIGARCH Computer Architecture News. 37(1). 169–180. 3 indexed citations
7.
Wells, Philip M., Koushik Chakraborty, & Gurindar S. Sohi. (2008). Adapting to intermittent faults in multicore systems. ACM SIGPLAN Notices. 43(3). 255–264. 4 indexed citations
8.
Wells, Philip M. & Gurindar S. Sohi. (2008). Serializing instructions in system-intensive workloads: Amdahl’s Law strikes again. 2. 264–275. 7 indexed citations
9.
Sohi, Gurindar S. & Philip M. Wells. (2008). Adapting to dynamic heterogeneity: virtualization for the multicore era. 1 indexed citations
10.
Wells, Philip M., Koushik Chakraborty, & Gurindar S. Sohi. (2008). Adapting to intermittent faults in multicore systems. 255–264. 49 indexed citations
11.
Wells, Philip M., Koushik Chakraborty, & Gurindar S. Sohi. (2008). Adapting to intermittent faults in multicore systems. ACM SIGARCH Computer Architecture News. 36(1). 255–264. 2 indexed citations
12.
Wells, Philip M., Koushik Chakraborty, & Gurindar S. Sohi. (2008). Adapting to intermittent faults in multicore systems. ACM SIGOPS Operating Systems Review. 42(2). 255–264. 5 indexed citations
13.
Wells, Philip M., Koushik Chakraborty, & Gurindar S. Sohi. (2007). Adapting to Intermittent Faults in Future Multicore Systems. International Conference on Parallel Architectures and Compilation Techniques. 431–431. 8 indexed citations
14.
Chakraborty, Koushik, Philip M. Wells, & Gurindar S. Sohi. (2007). A Case for an Over-provisioned Multicore System: Energy Efficient Processing of Multithreaded Programs. Minds at UW (University of Wisconsin). 10 indexed citations
15.
Wells, Philip M., Koushik Chakraborty, & Gurindar S. Sohi. (2007). Adapting to Intermittent Faults in Future Multicore Systems. 431–431. 4 indexed citations
16.
Chakraborty, Koushik, Philip M. Wells, & Gurindar S. Sohi. (2006). Computation spreading. 283–292. 83 indexed citations
17.
Wells, Philip M., Koushik Chakraborty, & Gurindar S. Sohi. (2006). Hardware support for spin management in overcommitted virtual machines. 124–133. 53 indexed citations
18.
Chakraborty, Koushik, Philip M. Wells, & Gurindar S. Sohi. (2006). Computation spreading. ACM SIGARCH Computer Architecture News. 34(5). 283–292. 1 indexed citations
19.
Wells, Philip M.. (2002). Simulation of Self-similar Network Traffic Using High Variance ON/OFF Sources. TigerPrints (Clemson University). 2 indexed citations
20.
Kline, Andrew, et al.. (2001). Quantitative review and delivery of reliable physical property data: development of DIPPR® Environ 2001™ database and estimation software. Fluid Phase Equilibria. 185(1-2). 21–29. 3 indexed citations

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.

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