Jerrell Watts

1.1k citations
19 papers · 715 · h-index 9

Impact in

Papers in

Jerrell Watts

19 papers receiving 639 citations

Peers

Jerrell Watts
Comparison fields: 5 of 52
  • Hardware and Architecture 466
  • Computational Mathematics 21
  • Computer Networks and Communications 538
  • Information Systems 107
  • Artificial Intelligence 111
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Citations per field
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Citations per year

Countries citing papers authored by Jerrell Watts

Since Specialization
Citations

This map shows the geographic impact of Jerrell Watts'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 Jerrell Watts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jerrell Watts more than expected).

Fields of papers citing papers by Jerrell Watts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jerrell Watts. 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 Jerrell Watts. The network helps show where Jerrell Watts may publish in the future.

Co-authors

The 14 scholars most cited alongside Jerrell Watts, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jerrell Watts Line = papers co-authored together Jerrell Watts links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 1997313
2 1998129
3 200272
4 199643
5
Fast Collective Communication Libraries, Please
199534
6 199533
7 199620
8
A Load Balancing Technique for Multiphase Computations
199712
9
Dynamic Management Of Heterogeneous Resources
199812
10
Efficient Collective Communication on Multidimensional Meshes with WormholeRouting
19948
11 20026
12
Concurrent Simulation of Plasma Reactors
19976
13
Standardization of a Communication Middleware for High-Performance Real-Time Systems
19976
14 19946
15 20045
16 19944
17
Automatic Granularity Control For Load Balancing Of Concurrent Particle Simulations
19983
18
LAPACK Working Note 96: Scalable Universal Matrix Multiplication Algorithm
19952
19 20041

About Jerrell Watts

Jerrell Watts is a scholar working on Computer Networks and Communications, Hardware and Architecture, Mechanical Engineering, Information Systems and Signal Processing, having authored 19 papers that have together received 715 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (11 papers), Interconnection Networks and Systems (6 papers), Distributed and Parallel Computing Systems (6 papers), Advanced Data Storage Technologies (5 papers), Modular Robots and Swarm Intelligence (4 papers), Cloud Computing and Resource Management (2 papers), Data Management and Algorithms (2 papers) and Real-Time Systems Scheduling (2 papers). The work is most often cited by research in Hardware and Architecture (466 citations), Computational Mathematics (21 citations), Computer Networks and Communications (538 citations), Information Systems (107 citations) and Artificial Intelligence (111 citations). Jerrell Watts has collaborated with scholars based in United States. Frequent co-authors include Robert A. Geijn, Stephen Taylor, D. G. Payne, Mike Barnett, Saurabh Gupta, Prasenjit Mitra, Michael E. Palmer, Stephen Taylor, Arkady Kanevsky and Anthony Skjellum. Their work appears in journals such as Journal of Parallel and Distributed Computing, IEEE Transactions on Parallel and Distributed Systems, Concurrency and Computation Practice and Experience, Parallel Processing Letters and Concurrency Practice and Experience.

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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