Jim Hayes

1.4k total citations · 1 hit paper
7 papers, 936 citations indexed

About

Jim Hayes is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems and Management. According to data from OpenAlex, Jim Hayes has authored 7 papers receiving a total of 936 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 4 papers in Hardware and Architecture and 3 papers in Information Systems and Management. Recurrent topics in Jim Hayes's work include Distributed and Parallel Computing Systems (6 papers), Parallel Computing and Optimization Techniques (4 papers) and Scientific Computing and Data Management (3 papers). Jim Hayes is often cited by papers focused on Distributed and Parallel Computing Systems (6 papers), Parallel Computing and Optimization Techniques (4 papers) and Scientific Computing and Data Management (3 papers). Jim Hayes collaborates with scholars based in United States and Singapore. Jim Hayes's co-authors include Rich Wolski, Neil Spring, Shava Smallen, Catherine Olschanowsky, Henri Casanova, Nicholas J. Wright, Allan Snavely, Gene Cooperman, Thomas Witzel and Vicente M. Reyes and has published in prestigious journals such as The Journal of Urology, Future Generation Computer Systems and Cluster Computing.

In The Last Decade

Jim Hayes

7 papers receiving 849 citations

Hit Papers

align trajectories sort by overperformance

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.

The network weather service: a distributed resource performance forecasting service for metacomputing

1999 835 citations Rich Wolski, Neil Spring et al. Future Generation Computer Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jim Hayes United States	6	909	449	420	167	37	7	936
Warren Smith United States	12	805 0.9×	365 0.8×	409 1.0×	218 1.3×	35 0.9×	32	846
Rajesh Raman United States	7	722 0.8×	258 0.6×	381 0.9×	155 0.9×	51 1.4×	7	761
Nathalie Furmento France	12	492 0.5×	367 0.8×	198 0.5×	100 0.6×	39 1.1×	24	576
M. Govindaraju United States	12	527 0.6×	137 0.3×	328 0.8×	131 0.8×	94 2.5×	19	603
Kenneth Hoste Belgium	8	334 0.4×	378 0.8×	214 0.5×	51 0.3×	86 2.3×	16	516
Robert van Engelen United States	12	289 0.3×	200 0.4×	184 0.4×	57 0.3×	91 2.5×	32	485
Karen L. Karavanic United States	8	547 0.6×	392 0.9×	243 0.6×	37 0.2×	98 2.6×	25	639
Bryan Carpenter United Kingdom	11	335 0.4×	262 0.6×	93 0.2×	53 0.3×	84 2.3×	32	430
Venkateshwaran Venkataramani United States	6	757 0.8×	148 0.3×	529 1.3×	27 0.2×	67 1.8×	7	797

Countries citing papers authored by Jim Hayes

Since Specialization

Citations

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

Fields of papers citing papers by Jim Hayes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jim Hayes

This figure shows the co-authorship network connecting the top 25 collaborators of Jim Hayes. A scholar is included among the top collaborators of Jim Hayes 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 Jim Hayes. Jim Hayes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Wright, Nicholas J., Shava Smallen, Catherine Olschanowsky, Jim Hayes, & Allan Snavely. (2009). Measuring and Understanding Variation in Benchmark Performance. 438–443. 15 indexed citations

2.

Smallen, Shava, et al.. (2007). User-level grid monitoring with Inca 2. 29–38. 17 indexed citations

3.

Li, Wilfred W., Robert W. Byrnes, Jim Hayes, et al.. (2004). The encyclopedia of life project: Grid software and deployment. New Generation Computing. 22(2). 127–136. 16 indexed citations

4.

Cooperman, Gene, Henri Casanova, Jim Hayes, & Thomas Witzel. (2003). Using TOP-C and AMPIC to port large parallel applications to the Computational Grid. Future Generation Computer Systems. 19(4). 587–596. 9 indexed citations

5.

Wolski, Rich, Neil Spring, & Jim Hayes. (2000). Predicting the CPU availability of time‐shared Unix systems on the computational grid. Cluster Computing. 3(4). 293–301. 42 indexed citations

6.

Wolski, Rich, Neil Spring, & Jim Hayes. (1999). The network weather service: a distributed resource performance forecasting service for metacomputing. Future Generation Computer Systems. 15(5-6). 757–768. 835 indexed citations breakdown →

7.

Hayes, Jim, et al.. (1986). Multiple Organ Donation: Its Impact on the Recovery of Cadaver Kidneys. The Journal of Urology. 135(6). 1157–1158. 2 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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