Jacqueline Chame

35 total papers · 1.4k total citations
23 papers, 862 citations indexed

About

Jacqueline Chame is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Jacqueline Chame has authored 23 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Hardware and Architecture, 19 papers in Computer Networks and Communications and 3 papers in Artificial Intelligence. Recurrent topics in Jacqueline Chame's work include Parallel Computing and Optimization Techniques (22 papers), Advanced Data Storage Technologies (16 papers) and Embedded Systems Design Techniques (6 papers). Jacqueline Chame is often cited by papers focused on Parallel Computing and Optimization Techniques (22 papers), Advanced Data Storage Technologies (16 papers) and Embedded Systems Design Techniques (6 papers). Jacqueline Chame collaborates with scholars based in United States and Pakistan. Jacqueline Chame's co-authors include Mary Hall, Jaewook Shin, Chun Chen, Chun Chen, Jeffrey K. Hollingsworth, Ananta Tiwari, John Granacki, Jeff Draper, Jeff LaCoss and Tim Barrett and has published in prestigious journals such as ACM SIGMETRICS Performance Evaluation Review, The Journal of Supercomputing and The International Journal of High Performance Computing Applications.

In The Last Decade

Jacqueline Chame

23 papers receiving 806 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jacqueline Chame	752	582	183	152	127	23	862
R. S. Nikhil	691 0.9×	603 1.0×	107 0.6×	86 0.6×	75 0.6×	17	833
Shirley Browne	697 0.9×	704 1.2×	117 0.6×	160 1.1×	280 2.2×	23	1.0k
Nicolas Vasilache	574 0.8×	357 0.6×	100 0.5×	199 1.3×	85 0.7×	16	749
Steve Tjiang	682 0.9×	392 0.7×	186 1.0×	143 0.9×	54 0.4×	16	797
P. Mucci	801 1.1×	775 1.3×	142 0.8×	122 0.8×	297 2.3×	14	1.1k
Avinash Sodani	776 1.0×	677 1.2×	306 1.7×	142 0.9×	143 1.1×	10	996
Andrew Wolfe	771 1.0×	414 0.7×	230 1.3×	148 1.0×	39 0.3×	22	914
Anita Borg	666 0.9×	837 1.4×	101 0.6×	88 0.6×	145 1.1×	15	943
Jay Hoeflinger	747 1.0×	610 1.0×	64 0.3×	166 1.1×	193 1.5×	28	930
Albert Hartono	773 1.0×	580 1.0×	72 0.4×	171 1.1×	108 0.9×	9	892

Countries citing papers authored by Jacqueline Chame

Since Specialization

Citations

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

Fields of papers citing papers by Jacqueline Chame

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacqueline Chame

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

All Works

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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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