Jeremy Meredith

20 total papers · 510 total citations
8 papers, 259 citations indexed

About

Jeremy Meredith is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computer Networks and Communications. According to data from OpenAlex, Jeremy Meredith has authored 8 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Computer Graphics and Computer-Aided Design and 3 papers in Computer Networks and Communications. Recurrent topics in Jeremy Meredith's work include Computer Graphics and Visualization Techniques (4 papers), Parallel Computing and Optimization Techniques (3 papers) and Data Visualization and Analytics (3 papers). Jeremy Meredith is often cited by papers focused on Computer Graphics and Visualization Techniques (4 papers), Parallel Computing and Optimization Techniques (3 papers) and Data Visualization and Analytics (3 papers). Jeremy Meredith collaborates with scholars based in United States, Germany and Switzerland. Jeremy Meredith's co-authors include Hank Childs, Kwan‐Liu Ma, Berk Geveci, Christopher Sewell, Kenneth Moreland, Kyle Spafford, Philip C. Roth, Sudhakar Yalamanchili, James Rogers and Jack Dongarra and has published in prestigious journals such as Computer, IEEE Computer Graphics and Applications and IEEE Micro.

In The Last Decade

Jeremy Meredith

8 papers receiving 249 citations

Author Peers

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

Author						Papers	Cites
Jeremy Meredith	132	95	78	46	38	8	259
Eric Brugger	101 0.8×	93 1.0×	39 0.5×	88 1.9×	47 1.2×	10	232
Li‐Ta Lo	116 0.9×	72 0.8×	48 0.6×	58 1.3×	49 1.3×	19	242
Brad Whitlock	138 1.0×	116 1.2×	47 0.6×	119 2.6×	67 1.8×	12	329
James Kress	94 0.7×	58 0.6×	42 0.5×	39 0.8×	41 1.1×	15	166
Haiying Xu	117 0.9×	38 0.4×	49 0.6×	16 0.3×	27 0.7×	13	239
Ben Whitney	146 1.1×	97 1.0×	98 1.3×	25 0.5×	28 0.7×	17	291
Ozan Tuğluk	97 0.7×	63 0.7×	62 0.8×	18 0.4×	15 0.4×	8	194
David Lugato	110 0.8×	64 0.7×	198 2.5×	13 0.3×	14 0.4×	15	319
Daniel Laney	58 0.4×	144 1.5×	25 0.3×	105 2.3×	23 0.6×	21	277
George Zagaris	90 0.7×	16 0.2×	60 0.8×	28 0.6×	16 0.4×	16	259

Countries citing papers authored by Jeremy Meredith

Since Specialization

Citations

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

Fields of papers citing papers by Jeremy Meredith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeremy Meredith

This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy Meredith. A scholar is included among the top collaborators of Jeremy Meredith 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 Jeremy Meredith. Jeremy Meredith 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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