Matthew Jacobsen

800 total citations
17 papers, 532 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 532 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 CCD and CMOS Imaging Sensors (3 papers), Embedded Systems Design Techniques (3 papers) and Parallel Computing and Optimization Techniques (3 papers). Matthew Jacobsen is often cited by papers focused on CCD and CMOS Imaging Sensors (3 papers), Embedded Systems Design Techniques (3 papers) and Parallel Computing and Optimization Techniques (3 papers). Matthew Jacobsen collaborates with scholars based in United States and France. Matthew Jacobsen's co-authors include Ryan Kastner, Umeshwar Dayal, Héctor García-Molina, Tak W. Yan, Dustin Richmond, Yoav Freund, Richard A. Vaia, Maneesh K. Gupta, Luke A. Baldwin 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 486 citations

Peers

Matthew Jacobsen
Khalid Latif Pakistan
Sang-goo Lee South Korea
Jung­hee Lee South Korea
Marcus Völp Germany
Bo Zhao China
Pedro Fonseca United States
Khalid Latif Pakistan
Matthew Jacobsen
Citations per year, relative to Matthew Jacobsen Matthew Jacobsen (= 1×) peers Khalid Latif

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

17 of 17 papers shown
1.
Jacobsen, Matthew, et al.. (2022). Predicting Phase Behavior of Linear Polymers in Solution Using Machine Learning. Macromolecules. 55(7). 2691–2702. 41 indexed citations
2.
Jacobsen, Matthew, et al.. (2021). Towards the Development of a Multi-Modal Community-Based AM Database. Microscopy and Microanalysis. 27(S1). 1090–1091. 3 indexed citations
3.
Jacobsen, Matthew, et al.. (2021). Deep Learning of Binary Solution Phase Behavior of Polystyrene. ACS Macro Letters. 10(6). 749–754. 28 indexed citations
4.
Jacobsen, Matthew, et al.. (2016). Creating an integrated collaborative environment for materials research. Integrating materials and manufacturing innovation. 5(1). 232–244. 14 indexed citations
5.
Jacobsen, Matthew, et al.. (2016). Hardware Accelerated Alignment Algorithm for Optical Labeled Genomes. ACM Transactions on Reconfigurable Technology and Systems. 9(3). 1–21. 3 indexed citations
6.
Jacobsen, Matthew, Zhaowei Cai, & Nuno Vasconcelos. (2015). FPGA implementation of HOG based pedestrian detector. 191–192. 3 indexed citations
7.
Jacobsen, Matthew, et al.. (2015). RIFFA 2.1. ACM Transactions on Reconfigurable Technology and Systems. 8(4). 1–23. 88 indexed citations
8.
Jacobsen, Matthew, et al.. (2014). FPGA Accelerated Online Boosting for Multi-target Tracking. 165–168. 2 indexed citations
9.
Jacobsen, Matthew, et al.. (2014). Patterns of life in temporal data: indexing and hashing for fast and relevant data retrieval. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9119. 91190J–91190J. 1 indexed citations
10.
Jacobsen, Matthew, et al.. (2014). Hardware accelerated novel optical de novo assembly for large-scale genomes. 1–8. 8 indexed citations
11.
Jacobsen, Matthew, et al.. (2014). Improving FPGA accelerated tracking with multiple online trained classifiers. 1–7. 2 indexed citations
12.
Jacobsen, Matthew, et al.. (2013). A low-power Adaboost-based object detection processor using Haar-like features. 203–206. 9 indexed citations
13.
Jacobsen, Matthew, et al.. (2013). A hardware accelerated approach for imaging flow cytometry. 1–8. 6 indexed citations
14.
Jacobsen, Matthew & Ryan Kastner. (2013). RIFFA 2.0: A reusable integration framework for FPGA accelerators. 1–8. 39 indexed citations
15.
Jacobsen, Matthew, Yoav Freund, & Ryan Kastner. (2012). RIFFA: A Reusable Integration Framework for FPGA Accelerators. 216–219. 31 indexed citations
16.
Jacobsen, Matthew, et al.. (2012). FPGA-GPU-CPU heterogenous architecture for real-time cardiac physiological optical mapping. 37–42. 24 indexed citations
17.
Yan, Tak W., Matthew Jacobsen, Héctor García-Molina, & Umeshwar Dayal. (1996). From user access patterns to dynamic hypertext linking. Computer Networks and ISDN Systems. 28(7-11). 1007–1014. 230 indexed citations

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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