Matt Jacob-Mitos

12 total papers · 531 total citations
10 papers, 442 citations indexed

About

Matt Jacob-Mitos is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, Matt Jacob-Mitos has authored 10 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 5 papers in Atomic and Molecular Physics, and Optics and 3 papers in Biomedical Engineering. Recurrent topics in Matt Jacob-Mitos's work include Photonic and Optical Devices (8 papers), Advanced Photonic Communication Systems (7 papers) and Semiconductor Quantum Structures and Devices (3 papers). Matt Jacob-Mitos is often cited by papers focused on Photonic and Optical Devices (8 papers), Advanced Photonic Communication Systems (7 papers) and Semiconductor Quantum Structures and Devices (3 papers). Matt Jacob-Mitos collaborates with scholars based in United States, Sweden and China. Matt Jacob-Mitos's co-authors include S. Heikman, M. Moore, Yifeng Wu, John E. Bowers, Anand Ramaswamy, G.A. Fish, Andréas Beling, Xiaojun Xie, Erik Norberg and Yaojia Chen and has published in prestigious journals such as Journal of Lightwave Technology, IEEE Electron Device Letters and IEEE Journal of Selected Topics in Quantum Electronics.

In The Last Decade

Matt Jacob-Mitos

10 papers receiving 403 citations

Author Peers

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

Author Last Decade Papers Cites
Matt Jacob-Mitos 408 217 135 59 29 10 442
Chunjiang Ren 336 0.8× 321 1.5× 82 0.6× 37 0.6× 17 0.6× 16 366
Changsi Wang 346 0.8× 293 1.4× 77 0.6× 17 0.3× 12 0.4× 15 367
E. O. Johnson 399 1.0× 70 0.3× 167 1.2× 49 0.8× 110 3.8× 11 481
Subhash Pidaparthi 362 0.9× 310 1.4× 55 0.4× 155 2.6× 41 1.4× 18 422
G. Borghs 230 0.6× 100 0.5× 313 2.3× 20 0.3× 64 2.2× 9 373
V. Lauer 237 0.6× 85 0.4× 373 2.8× 116 2.0× 74 2.6× 10 403
Zdeněk Kašpar 173 0.4× 193 0.9× 351 2.6× 157 2.7× 121 4.2× 14 439
K. D. Childs 374 0.9× 40 0.2× 356 2.6× 26 0.4× 64 2.2× 18 460
F. G. Monzon 215 0.5× 99 0.5× 373 2.8× 36 0.6× 73 2.5× 6 406
A. Wirthmann 204 0.5× 91 0.4× 363 2.7× 130 2.2× 56 1.9× 16 416

Countries citing papers authored by Matt Jacob-Mitos

Since Specialization
Citations

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

Fields of papers citing papers by Matt Jacob-Mitos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matt Jacob-Mitos. 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 Matt Jacob-Mitos. The network helps show where Matt Jacob-Mitos may publish in the future.

Co-authorship network of co-authors of Matt Jacob-Mitos

This figure shows the co-authorship network connecting the top 25 collaborators of Matt Jacob-Mitos. A scholar is included among the top collaborators of Matt Jacob-Mitos 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 Matt Jacob-Mitos. Matt Jacob-Mitos 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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