Dan Terpstra

23 total papers · 1.1k total citations
16 papers, 457 citations indexed

About

Dan Terpstra is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Dan Terpstra has authored 16 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Hardware and Architecture, 12 papers in Computer Networks and Communications and 8 papers in Information Systems. Recurrent topics in Dan Terpstra's work include Parallel Computing and Optimization Techniques (14 papers), Advanced Data Storage Technologies (9 papers) and Cloud Computing and Resource Management (8 papers). Dan Terpstra is often cited by papers focused on Parallel Computing and Optimization Techniques (14 papers), Advanced Data Storage Technologies (9 papers) and Cloud Computing and Resource Management (8 papers). Dan Terpstra collaborates with scholars based in United States. Dan Terpstra's co-authors include Shirley Moore, Vincent M. Weaver, Piotr Łuszczek, P. Mucci, Jack Dongarra, Matt Johnson, Kevin London, Gregory D. Peterson, Stanimire Tomov and George C. Levy and has published in prestigious journals such as Computer Science - Research and Development, Organic Magnetic Resonance and Medical Entomology and Zoology.

In The Last Decade

Dan Terpstra

16 papers receiving 429 citations

Author Peers

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

Author						Papers	Cites
Dan Terpstra	339	300	148	124	56	16	457
Ho-Seop Kim	367 1.1×	353 1.2×	62 0.4×	134 1.1×	81 1.4×	10	507
Karan Singh	357 1.1×	334 1.1×	209 1.4×	150 1.2×	43 0.8×	15	504
Ahmad Yasin	304 0.9×	308 1.0×	177 1.2×	112 0.9×	52 0.9×	16	451
B. Blaner	332 1.0×	292 1.0×	70 0.5×	108 0.9×	55 1.0×	15	428
Zarka Cvetanovic	366 1.1×	459 1.5×	86 0.6×	56 0.5×	93 1.7×	22	535
Muhsen Owaida	272 0.8×	289 1.0×	84 0.6×	81 0.7×	118 2.1×	24	445
Guoyang Chen	316 0.9×	275 0.9×	107 0.7×	61 0.5×	67 1.2×	22	423
Matthew LeGendre	213 0.6×	260 0.9×	137 0.9×	47 0.4×	59 1.1×	16	442
Jonathan Balkind	277 0.8×	309 1.0×	148 1.0×	141 1.1×	55 1.0×	28	464
Mohammad Ali Ghodrat	332 1.0×	259 0.9×	54 0.4×	131 1.1×	41 0.7×	22	424

Countries citing papers authored by Dan Terpstra

Since Specialization

Citations

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

Fields of papers citing papers by Dan Terpstra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Terpstra

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