R. Franklin

464 citations
13 papers · 300 · h-index 8

Impact in

Papers in

R. Franklin

13 papers receiving 290 citations

Peers

R. Franklin
Comparison fields: 5 of 40
  • Cellular and Molecular Neuroscience 239
  • Cognitive Neuroscience 189
  • Electrochemistry 47
  • Bioengineering 20
  • Polymers and Plastics 39
Replace Longchun Wang with:
Longchun Wang China
Elissa Welle United States
Seth A. Hara United States
Douglas B. Shire United States
Viswanath Sankar United States
R.A. Peck United States
Curtis D. Lee United States
Aziliz Lecomte Italy
Sebastian Kisban Germany
André Mercanzini Switzerland
R. Franklin relative to Longchun Wang China Longchun Wang's profile →
Citations per field
00.5×
Longchun Wang · 1×
Citations per year

Countries citing papers authored by R. Franklin

Since Specialization
Citations

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

Fields of papers citing papers by R. Franklin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 200890
2 201380
3 201827
4 200522
5 201920
6 201520
7 201915
8 200513
9
20035
10 20094
11 20112
12
In vivo Electrochemical Sensors.
20101
13 20191

About R. Franklin

R. Franklin is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering, Biomedical Engineering and Pollution, having authored 13 papers that have together received 300 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (12 papers), EEG and Brain-Computer Interfaces (11 papers), Advanced Memory and Neural Computing (5 papers), Neural dynamics and brain function (4 papers), Muscle activation and electromyography studies (2 papers), Soil and Water Nutrient Dynamics (1 paper), Heavy metals in environment (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (239 citations), Cognitive Neuroscience (189 citations), Electrochemistry (47 citations), Bioengineering (20 citations) and Polymers and Plastics (39 citations). R. Franklin has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Richard B. Brown, Matthew D. Johnson, Daryl R. Kipke, Jeffrey M. Weiss, Robert A. Gaunt, Jennifer L. Collinger, Louise R. Manfredi, Matthew S. Johannes, R. Jacob Vogelstein and Sharlene N. Flesher. Their work appears in journals such as Journal of Neural Engineering, Soil Science, Advances in experimental medicine and biology, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Journal of Neuroscience Methods.

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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