Matthew Jacobsen

21 total papers · 797 total citations
17 papers, 529 citations indexed

About

Matthew Jacobsen is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Hardware and Architecture. According to data from OpenAlex, Matthew Jacobsen has authored 17 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Networks and Communications, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Hardware and Architecture. Recurrent topics in Matthew Jacobsen's work include Parallel Computing and Optimization Techniques (3 papers), Video Surveillance and Tracking Methods (3 papers) and CCD and CMOS Imaging Sensors (3 papers). Matthew Jacobsen is often cited by papers focused on Parallel Computing and Optimization Techniques (3 papers), Video Surveillance and Tracking Methods (3 papers) and CCD and CMOS Imaging Sensors (3 papers). Matthew Jacobsen collaborates with scholars based in United States and France. Matthew Jacobsen's co-authors include Ryan Kastner, Tak W. Yan, Héctor García-Molina, Umeshwar Dayal, Dustin Richmond, Yoav Freund, Richard A. Vaia, Luke A. Baldwin, Maneesh K. Gupta and Thomas Anantharaman and has published in prestigious journals such as Macromolecules, ACS Macro Letters and Microscopy and Microanalysis.

In The Last Decade

Matthew Jacobsen

17 papers receiving 483 citations

Author Peers

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

Author Last Decade Papers Cites
Matthew Jacobsen 225 184 122 115 62 17 529
Adam Kirsch 131 0.6× 407 2.2× 132 1.1× 210 1.8× 35 0.6× 35 583
Xi Wang 139 0.6× 288 1.6× 38 0.3× 126 1.1× 37 0.6× 33 553
Bo Yang 154 0.7× 124 0.7× 57 0.5× 154 1.3× 21 0.3× 46 506
Bharat Sukhwani 69 0.3× 237 1.3× 240 2.0× 147 1.3× 13 0.2× 20 474
Sang-goo Lee 174 0.8× 188 1.0× 33 0.3× 220 1.9× 135 2.2× 50 600
P. Muth 192 0.9× 290 1.6× 37 0.3× 128 1.1× 42 0.7× 39 505
Zheng Zhang 87 0.4× 162 0.9× 20 0.2× 215 1.9× 42 0.7× 29 574
K.-P. Vo 141 0.6× 118 0.6× 52 0.4× 141 1.2× 11 0.2× 9 603
Woosuk Lee 170 0.8× 63 0.3× 60 0.5× 191 1.7× 119 1.9× 27 508
Paul C. Jorgensen 285 1.3× 132 0.7× 52 0.4× 96 0.8× 13 0.2× 23 615

Countries citing papers authored by Matthew Jacobsen

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Jacobsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Jacobsen

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