Loren Rieth

3.8k citations
97 papers · 2.9k · h-index 32

Impact in

Papers in

Loren Rieth

94 papers receiving 2.9k citations

Peers

Loren Rieth
Comparison fields: 5 of 99
  • Cellular and Molecular Neuroscience 1.8k
  • Bioengineering 308
  • Cognitive Neuroscience 760
  • Polymers and Plastics 525
  • Electrical and Electronic Engineering 1.4k
Replace Florian Solzbacher with:
Florian Solzbacher United States
Chong Xie China
Rylie A. Green Australia
Prashant Tathireddy United States
Stuart F. Cogan United States
Adam Williamson France
Jeffrey L. Hendricks United States
Xing Sheng China
Enming Song China
Andrés Canales United States
Loren Rieth relative to Florian Solzbacher United States Florian Solzbacher's profile →
Citations per field
00.5×1.5×
Florian Solzbacher · 1×
Citations per year

Countries citing papers authored by Loren Rieth

Since Specialization
Citations

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

Fields of papers citing papers by Loren Rieth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Loren Rieth, 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 Loren Rieth Line = papers co-authored together Loren Rieth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010228
2 2008195
3 2010162
4 2013119
5 2008113
6 2009109
7 2014100
8 201384
9 200782
10 201573
11 201970
12 201367
13 201262
14 201058
15 201256
16 202050
17 201049
18 202049
19 200747
20 200846

About Loren Rieth

Loren Rieth is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Cognitive Neuroscience, Biomedical Engineering and Materials Chemistry, having authored 97 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (61 papers), Advanced Memory and Neural Computing (34 papers), EEG and Brain-Computer Interfaces (26 papers), Analytical Chemistry and Sensors (14 papers), Photoreceptor and optogenetics research (12 papers), Gas Sensing Nanomaterials and Sensors (8 papers), Advanced Sensor and Energy Harvesting Materials (7 papers) and Vagus Nerve Stimulation Research (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.8k citations), Bioengineering (308 citations), Cognitive Neuroscience (760 citations), Polymers and Plastics (525 citations) and Electrical and Electronic Engineering (1.4k citations). Loren Rieth has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Florian Solzbacher, Prashant Tathireddy, Sandeep Negi, Rajmohan Bhandari, Richard A. Normann, S. Kannan, Xianzong Xie, Rohit Sharma, Ryan Caldwell and Steve Blair. Their work appears in journals such as Sensors and Actuators B Chemical, Journal of Neural Engineering, Sensors and Actuators A Physical, Journal of Micromechanics and Microengineering and Biomedical Microdevices.

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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