Field G. Zee

63 total papers · 1.2k total citations
21 papers, 656 citations indexed

About

Field G. Zee is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Field G. Zee has authored 21 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Hardware and Architecture, 14 papers in Computer Networks and Communications and 6 papers in Artificial Intelligence. Recurrent topics in Field G. Zee's work include Parallel Computing and Optimization Techniques (21 papers), Interconnection Networks and Systems (8 papers) and Advanced Data Storage Technologies (7 papers). Field G. Zee is often cited by papers focused on Parallel Computing and Optimization Techniques (21 papers), Interconnection Networks and Systems (8 papers) and Advanced Data Storage Technologies (7 papers). Field G. Zee collaborates with scholars based in United States, Spain and Germany. Field G. Zee's co-authors include Robert A. Geijn, Gregorio Quintana‐Ortí, Enrique S. Quintana–Ort́ı, Ernie Chan, Tyler Smith, Mikhail Smelyanskiy, Jeff R. Hammond, Paolo Bientinesi, Tze Meng Low and Francisco D. Igual and has published in prestigious journals such as SIAM Journal on Scientific Computing, ACM Transactions on Mathematical Software and Journal of Parallel and Distributed Computing.

In The Last Decade

Field G. Zee

21 papers receiving 614 citations

Author Peers

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

Author						Papers	Cites
Field G. Zee	497	370	154	145	77	21	656
Kazushige Goto	442 0.9×	346 0.9×	149 1.0×	157 1.1×	89 1.2×	11	769
Ernie Chan	433 0.9×	399 1.1×	125 0.8×	121 0.8×	55 0.7×	15	606
Jee Choi	589 1.2×	457 1.2×	133 0.9×	131 0.9×	91 1.2×	25	762
Jim Demmel	470 0.9×	348 0.9×	93 0.6×	148 1.0×	60 0.8×	9	584
Emmanuel Agullo	484 1.0×	413 1.1×	101 0.7×	194 1.3×	93 1.2×	36	764
Brian Vinter	469 0.9×	432 1.2×	138 0.9×	103 0.7×	41 0.5×	53	665
Paolo Bientinesi	341 0.7×	289 0.8×	117 0.8×	182 1.3×	49 0.6×	56	647
Nicolas Vasilache	574 1.2×	357 1.0×	199 1.3×	68 0.5×	100 1.3×	16	749
Jerrell Watts	465 0.9×	535 1.4×	111 0.7×	45 0.3×	70 0.9×	19	711
Marc Baboulin	316 0.6×	196 0.5×	116 0.8×	298 2.1×	78 1.0×	31	729

Countries citing papers authored by Field G. Zee

Since Specialization

Citations

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

Fields of papers citing papers by Field G. Zee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Field G. Zee. 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 Field G. Zee. The network helps show where Field G. Zee may publish in the future.

Co-authorship network of co-authors of Field G. Zee

This figure shows the co-authorship network connecting the top 25 collaborators of Field G. Zee. A scholar is included among the top collaborators of Field G. Zee 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 Field G. Zee. Field G. Zee 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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