Greg Daues

19 total papers · 756 total citations
6 papers, 139 citations indexed

About

Greg Daues is a scholar working on Astronomy and Astrophysics, Computer Networks and Communications and Information Systems and Management. According to data from OpenAlex, Greg Daues has authored 6 papers receiving a total of 139 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Astronomy and Astrophysics, 2 papers in Computer Networks and Communications and 2 papers in Information Systems and Management. Recurrent topics in Greg Daues's work include Gamma-ray bursts and supernovae (2 papers), Scientific Computing and Data Management (2 papers) and Distributed and Parallel Computing Systems (2 papers). Greg Daues is often cited by papers focused on Gamma-ray bursts and supernovae (2 papers), Scientific Computing and Data Management (2 papers) and Distributed and Parallel Computing Systems (2 papers). Greg Daues collaborates with scholars based in United States, Germany and Spain. Greg Daues's co-authors include Edward Seidel, John Shalf, Wai-Mo Suen, Peter Anninos, Joan Massó, Michael L. Norman, Jason Novotny, Gregor von Laszewski, Gabrielle Allen and Ian Foster and has published in prestigious journals such as Computing in Science & Engineering, Cluster Computing and Concurrency and Computation Practice and Experience.

In The Last Decade

Greg Daues

6 papers receiving 124 citations

Author Peers

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

Author						Papers	Cites
Greg Daues	64	48	45	26	17	6	139
Steve Karmesin	127 2.0×	85 1.8×	35 0.8×	11 0.4×	65 3.8×	11	268
Thomas Dramlitsch	124 1.9×	138 2.9×	53 1.2×	46 1.8×	92 5.4×	4	274
H. A. Holties	48 0.8×	24 0.5×	16 0.4×	11 0.4×	4 0.2×	12	93
Jay Boisseau	57 0.9×	126 2.6×	27 0.6×	68 2.6×	75 4.4×	10	195
Adam Kunen	8 0.1×	88 1.8×	10 0.2×	9 0.3×	89 5.2×	8	178
Yusra AlSayyad	130 2.0×	23 0.5×	12 0.3×	7 0.3×	3 0.2×	6	170
Deborah Bard	14 0.2×	47 1.0×	7 0.2×	30 1.2×	31 1.8×	11	131
D. Yu	31 0.5×	27 0.6×	44 1.0×	10 0.4×	10 0.6×	6	72
Prabhat Prabhat	11 0.2×	36 0.8×	20 0.4×	8 0.3×	35 2.1×	4	132
R. Mount	14 0.2×	26 0.5×	39 0.9×	13 0.5×	4 0.2×	10	92

Countries citing papers authored by Greg Daues

Since Specialization

Citations

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

Fields of papers citing papers by Greg Daues

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Greg Daues

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