Brian Mattis

533 citations
15 papers · 275 · h-index 8

Impact in

Papers in

    • Organic Electronics and Photovoltaics 7
    • Semiconductor materials and devices 5
    • Advanced Memory and Neural Computing 4
    • Thin-Film Transistor Technologies 3
    • Nanomaterials and Printing Technologies 2
    • Green IT and Sustainability 2
    • Conducting polymers and applications 6

Brian Mattis

14 papers receiving 261 citations

Peers

Brian Mattis
Comparison fields: 5 of 39
  • Electrical and Electronic Engineering 245
  • Polymers and Plastics 56
  • Biomedical Engineering 126
  • Bioengineering 16
  • Automotive Engineering 22
Replace Yongwoo Lee with:
Yongwoo Lee South Korea
Zhou Jia China
Zhongyuan Wu China
Carme Martínez‐Domingo Spain
Tilo Meister Germany
Shong Yin United States
Yeonkyeong Ju South Korea
Seungjun Chung United States
A. Ullmann Germany
Wanyuan Qu China
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Citations per field
00.5×3.7×
Yongwoo Lee · 1×
Citations per year

Countries citing papers authored by Brian Mattis

Since Specialization
Citations

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

Fields of papers citing papers by Brian Mattis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Brian Mattis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Brian Mattis Line = papers co-authored together Brian Mattis links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 200899
2 200838
3 200332
4 200530
5 200321
6 200617
7 200316
8 20068
9 20056
10 20053
11 20061
12 20061
13
ALL-PRINTED FLEXIBLE ORGANIC THIN FILM TRANSISTORS: CURRENT STATUS AND OUTLOOK FOR THE FUTURE
20041
14 20161
15 20161

About Brian Mattis

Brian Mattis is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics, Biomedical Engineering, Automotive Engineering and Signal Processing, having authored 15 papers that have together received 275 indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (7 papers), Conducting polymers and applications (6 papers), Advanced Sensor and Energy Harvesting Materials (6 papers), Semiconductor materials and devices (5 papers), Advanced Memory and Neural Computing (4 papers), Thin-Film Transistor Technologies (3 papers), Nanomaterials and Printing Technologies (2 papers) and Green IT and Sustainability (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (245 citations), Polymers and Plastics (56 citations), Biomedical Engineering (126 citations), Bioengineering (16 citations) and Automotive Engineering (22 citations). Brian Mattis has collaborated with scholars based in United States. Frequent co-authors include Vivek Subramanian, Steven Molesa, Steven K. Volkman, Paul C. Chang, Alejandro de la Fuente Vornbrock, Josephine Chang, David Redinger, Daniel Soltman, Qintao Zhang and Frank Liao. Their work appears in journals such as Synthetic Metals, Applied Physics Letters, MRS Proceedings, Technical programs and proceedings and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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