Philip J. Hatcher
- Computer Networks and Communications top 5%
- Hardware and Architecture top 2%
- Molecular Biology
- Genetics
- Artificial Intelligence
- Co-authors
- Michael J. QuinnVaughn S. CooperAnthony J. LapadulaJanusz S. KowalikSamuel H. VohrDavid J. AshlineVernon N. ReinholdHailong Zhang
- Topics
- Parallel Computing and Optimization Techniques (29 papers)Distributed and Parallel Computing Systems (19 papers)Advanced Data Storage Technologies (10 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Philip J. Hatcher
44 papers receiving 695 citations
Peers
Comparison fields: 5 of 74
- Computer Networks and Communications 333
- Hardware and Architecture 325
- Molecular Biology 231
- Genetics 109
- Artificial Intelligence 91
Countries citing papers authored by Philip J. Hatcher
This map shows the geographic impact of Philip J. Hatcher'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 J. Hatcher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip J. Hatcher more than expected).
Fields of papers citing papers by Philip J. Hatcher
This network shows the impact of papers produced by Philip J. Hatcher. 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 J. Hatcher. The network helps show where Philip J. Hatcher may publish in the future.
Co-authorship network of co-authors of Philip J. Hatcher
This figure shows the co-authorship network connecting the top 25 collaborators of Philip J. Hatcher. A scholar is included among the top collaborators of Philip J. Hatcher 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 J. Hatcher. Philip J. Hatcher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 11 | |
| 3 | 32 | |
| 4 | 20 | |
| 5 | 16 | |
| 6 | 76 | |
| 7 | 102 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | Compiling Multithreaded Java Bytecode for Distributed Execution (Distinguished Paper) | 5 |
| 11 | Executing Java threads in parallel in a distributed-memory environment | 23 |
| 12 | 2 | |
| 13 | 0 | |
| 14 | Guest Editor's Introduction: The Impact of High Performance Fortran | 1 |
| 15 | Stream*: Fast, Flexible Data-Parallel I/O | 2 |
| 16 | Implementing a Time-Driven Simulation on a MIMD Computer Using a SIMD Language. | 1 |
| 17 | 4 | |
| 18 | 32 | |
| 19 | 20 | |
| 20 | 12 |
About Philip J. Hatcher
Philip J. Hatcher is a scholar working on Hardware and Architecture, Computer Networks and Communications and Software, having authored 46 papers that have together received 741 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (29 papers), Distributed and Parallel Computing Systems (19 papers) and Advanced Data Storage Technologies (10 papers). The work is most often cited by research in Hardware and Architecture (325 citations), Computer Networks and Communications (333 citations) and Endocrinology (33 citations). Philip J. Hatcher has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Michael J. Quinn, Vaughn S. Cooper, Anthony J. Lapadula, Janusz S. Kowalik, Samuel H. Vohr, David J. Ashline, Vernon N. Reinhold, Hailong Zhang, Gabriel Antoniu and R. R. Jones. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Analytical Chemistry.
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.