Andrew Grimshaw

8.6k total citations · 2 hit papers
129 papers, 5.6k citations indexed

About

Andrew Grimshaw is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Andrew Grimshaw has authored 129 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Computer Networks and Communications, 62 papers in Hardware and Architecture and 37 papers in Information Systems. Recurrent topics in Andrew Grimshaw's work include Distributed and Parallel Computing Systems (85 papers), Parallel Computing and Optimization Techniques (62 papers) and Advanced Data Storage Technologies (45 papers). Andrew Grimshaw is often cited by papers focused on Distributed and Parallel Computing Systems (85 papers), Parallel Computing and Optimization Techniques (62 papers) and Advanced Data Storage Technologies (45 papers). Andrew Grimshaw collaborates with scholars based in United States, United Kingdom and Germany. Andrew Grimshaw's co-authors include Duane Merrill, Nancy Wilkins‐Diehr, Ian Foster, Victor Hazlewood, John Towns, Kelly Gaither, Gregory D. Peterson, T.M. Cockerill, Scott Lathrop and James R. Scott and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Andrew Grimshaw

115 papers receiving 5.2k citations

Hit Papers

XSEDE: Accelerating Scientific Discovery 2012 2026 2016 2021 2014 2012 500 1000 1.5k 2.0k 2.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. XSEDE: Accelerating Scientific Discovery
    2014 2.5k citations Andrew Grimshaw, Nancy Wilkins‐Diehr et al. profile →
  2. Scalable GPU graph traversal
    2012 367 citations Duane Merrill, Andrew Grimshaw et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Grimshaw United States 25 2.4k 1.6k 902 643 617 129 5.6k
John E. Stone United States 32 1.5k 0.6× 1.6k 1.1× 502 0.6× 1.8k 2.8× 788 1.3× 64 6.4k
Ananth Grama United States 38 1.7k 0.7× 666 0.4× 1.0k 1.1× 1.2k 1.9× 1.9k 3.0× 190 8.2k
Mike Houston United States 19 1.3k 0.5× 1.5k 0.9× 327 0.4× 736 1.1× 294 0.5× 36 3.5k
Tony Hey United Kingdom 29 1.5k 0.6× 580 0.4× 1.0k 1.1× 237 0.4× 134 0.2× 152 4.6k
Alan Sussman United States 25 1.5k 0.6× 550 0.4× 447 0.5× 101 0.2× 233 0.4× 158 2.7k
Jens Krüger Germany 24 986 0.4× 710 0.5× 318 0.4× 530 0.8× 89 0.1× 125 4.0k
David Walker United Kingdom 33 2.3k 1.0× 1.7k 1.1× 776 0.9× 105 0.2× 85 0.1× 183 5.1k
Wei‐keng Liao United States 31 1.4k 0.6× 821 0.5× 636 0.7× 96 0.1× 1.1k 1.8× 199 4.5k
Gregory D. Peterson United States 21 549 0.2× 562 0.4× 184 0.2× 719 1.1× 621 1.0× 104 4.0k
Wolfgang E. Nagel Germany 24 987 0.4× 788 0.5× 390 0.4× 288 0.4× 159 0.3× 145 2.3k

Countries citing papers authored by Andrew Grimshaw

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Grimshaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Grimshaw

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Grimshaw. A scholar is included among the top collaborators of Andrew Grimshaw 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 Andrew Grimshaw. Andrew Grimshaw 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.
Riedel, Morris, Florian Janetzko, Borries Demeler, et al.. (2014). Advancements of the UltraScan scientific gateway for open standards‐based cyberinfrastructures. Concurrency and Computation Practice and Experience. 26(13). 2280–2291. 7 indexed citations
2.
3.
Grimshaw, Andrew, et al.. (2013). GFFS — THE XSEDE GLOBAL FEDERATED FILE SYSTEM. Parallel Processing Letters. 23(2). 1340005–1340005. 6 indexed citations
4.
Robins, Gabriel, et al.. (2012). The Global Bio Grid at Virginia.
5.
Grimshaw, Andrew, et al.. (2012). The Mentat Programming Language Users Manual and Tutorial.
6.
Merrill, Duane & Andrew Grimshaw. (2010). Revisiting sorting for GPGPU stream architectures. 545–546. 97 indexed citations
7.
Morgan, Mark & Andrew Grimshaw. (2009). High-Throughput Computing in the Sciences. Methods in enzymology on CD-ROM/Methods in enzymology. 467. 197–227. 4 indexed citations
8.
Kang, Woochul & Andrew Grimshaw. (2007). Failure Prediction in Computational Grids. 1. 275–282. 14 indexed citations
9.
Pingali, Keshav, Katherine Yelick, & Andrew Grimshaw. (2005). Proceedings of the tenth ACM SIGPLAN symposium on Principles and practice of parallel programming.
10.
Grimshaw, Andrew. (2005). The Mentat Run-Time System: Support for Medium Grain Parallel Computation. 2. 1064–1073. 6 indexed citations
11.
Natrajan, Anand, Michael F. Crowley, Nancy Wilkins‐Diehr, et al.. (2004). Studying protein folding on the Grid: experiences using CHARMM on NPACI resources under Legion: Research Articles. Concurrency and Computation Practice and Experience. 16(4). 385–397. 1 indexed citations
12.
Jin, Li-Jie & Andrew Grimshaw. (2002). From metacomputing to metabusiness processing. 99–108. 1 indexed citations
13.
Gannon, Dennis & Andrew Grimshaw. (1998). Object-based approaches. Journal of Grid Computing. 205–236. 15 indexed citations
14.
Grimshaw, Andrew, Michael Lewis, Adam J. Ferrari, & John F. Karpovich. (1998). Architectural Support for Extensibility and Autonomy in Wide-Area Distributed Object Systems. Defense Technical Information Center (DTIC). 15 indexed citations
15.
Ferrari, Adam J. & Andrew Grimshaw. (1998). Basic Fortran Support in Legion. Libra. 4 indexed citations
16.
Viles, Charles L., Michael Lewis, Adam J. Ferrari, Anh Nguyen‐Tuong, & Andrew Grimshaw. (1997). Enabling Flexibility in the Legion Run-Time Library.. Parallel and Distributed Processing Techniques and Applications. 265–274. 10 indexed citations
17.
Grimshaw, Andrew & William A. Wulf. (1997). The Legion Vision of a Worldwide Computer.. Communications of the ACM. 40(13). 39–45. 11 indexed citations
18.
Grimshaw, Andrew, et al.. (1993). No pain and gain!—experiences with Mentat on a biological application. Concurrency Practice and Experience. 5(4). 309–328. 22 indexed citations
19.
Grimshaw, Andrew. (1992). Easy-to-use Object-Oriented Parallel Processing with Mentat. Libra. 179–191. 11 indexed citations
20.
Grimshaw, Andrew. (1991). An Introduction to Parallel Object-Oriented Programming with Mentat. Libra. 22 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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