Loren Rieth
Impact in
-
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Bioengineering top 1%
- Analytical Chemistry and Sensors
Papers in
-
- Neuroscience and Neural Engineering 63
- Photoreceptor and optogenetics research 12
-
- Analytical Chemistry and Sensors 14
- Co-authors
- Florian SolzbacherPrashant TathireddySandeep NegiRajmohan BhandariS. KannanRichard A. NormannXianzong XieRohit Sharma
- Journals
- Sensors and Actuators B Chemical (10 papers)Journal of Neural Engineering (9 papers)Sensors and Actuators A Physical (4 papers)Journal of Micromechanics and Microengineering (3 papers)Brain stimulation (2 papers)
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
Loren Rieth
94 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 100
- Cellular and Molecular Neuroscience 1.8k
- Bioengineering 314
- Cognitive Neuroscience 841
- Polymers and Plastics 548
- Electrical and Electronic Engineering 1.5k
Countries citing papers authored by Loren Rieth
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 11 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 12 | |
| 5 | 2021 | 15 | |
| 6 | 2020 | 0 | |
| 7 | 2019 | 8 | |
| 8 | 2019 | 68 | |
| 9 | 2018 | 10 | |
| 10 | 2018 | 25 | |
| 11 | 2017 | 19 | |
| 12 | 2014 | 11 | |
| 13 | 2013 | 119 | |
| 14 | 2012 | 56 | |
| 15 | 2012 | 26 | |
| 16 | 2011 | 35 | |
| 17 | 2009 | 107 | |
| 18 | 2008 | 42 | |
| 19 | 2007 | 47 | |
| 20 | 2007 | 9 |
About Loren Rieth
Loren Rieth is a scholar working on Cellular and Molecular Neuroscience, Bioengineering, Cognitive Neuroscience, Electrical and Electronic Engineering and Neurology, having authored 97 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (63 papers), Advanced Memory and Neural Computing (36 papers), EEG and Brain-Computer Interfaces (34 papers), Analytical Chemistry and Sensors (14 papers), Photoreceptor and optogenetics research (12 papers), Vagus Nerve Stimulation Research (9 papers), Gas Sensing Nanomaterials and Sensors (8 papers) and Advanced Sensor and Energy Harvesting Materials (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.8k citations), Bioengineering (314 citations), Cognitive Neuroscience (841 citations), Polymers and Plastics (548 citations) and Electrical and Electronic Engineering (1.5k 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, S. Kannan, Richard A. Normann, 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 Brain stimulation.
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.