David Biancolin

15 total papers · 663 total citations
13 papers, 419 citations indexed

About

David Biancolin is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, David Biancolin has authored 13 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hardware and Architecture, 6 papers in Computer Networks and Communications and 5 papers in Electrical and Electronic Engineering. Recurrent topics in David Biancolin's work include Embedded Systems Design Techniques (10 papers), Parallel Computing and Optimization Techniques (7 papers) and Interconnection Networks and Systems (6 papers). David Biancolin is often cited by papers focused on Embedded Systems Design Techniques (10 papers), Parallel Computing and Optimization Techniques (7 papers) and Interconnection Networks and Systems (6 papers). David Biancolin collaborates with scholars based in United States and Canada. David Biancolin's co-authors include Krste Asanović, Sagar Karandikar, Jonathan Bachrach, Borivoje Nikolić, Alon Amid, Howard Mao, Colin Schmidt, Nathan Pemberton, Albert Magyar and Harrison Liew and has published in prestigious journals such as IEEE Micro, ACM Transactions on Reconfigurable Technology and Systems and eScholarship (California Digital Library).

In The Last Decade

David Biancolin

13 papers receiving 410 citations

Author Peers

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

Author						Papers	Cites
David Biancolin	280	172	162	88	36	13	419
Howard Mao	238 0.8×	143 0.8×	155 1.0×	90 1.0×	32 0.9×	11	398
Robert N. Mayo	283 1.0×	293 1.7×	127 0.8×	51 0.6×	23 0.6×	15	474
Peng Wei	308 1.1×	136 0.8×	222 1.4×	128 1.5×	60 1.7×	19	491
Karthik Gururaj	367 1.3×	168 1.0×	268 1.7×	44 0.5×	31 0.9×	21	464
Licheng Guo	264 0.9×	174 1.0×	186 1.1×	72 0.8×	14 0.4×	23	414
Shail Aditya	413 1.5×	98 0.6×	261 1.6×	90 1.0×	20 0.6×	17	471
Ofer Shacham	260 0.9×	181 1.1×	149 0.9×	44 0.5×	27 0.8×	16	383
Sameh Asaad	214 0.8×	87 0.5×	216 1.3×	105 1.2×	58 1.6×	18	374
W. R. Crowther	244 0.9×	94 0.5×	395 2.4×	47 0.5×	22 0.6×	11	495
Peter Hochschild	222 0.8×	118 0.7×	303 1.9×	47 0.5×	23 0.6×	16	403

Countries citing papers authored by David Biancolin

Since Specialization

Citations

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

Fields of papers citing papers by David Biancolin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Biancolin

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