Paras R. Patel

2.7k citations
53 papers · 1.9k indexed · 1 hit paper · h-index 20
Topics
Neuroscience and Neural Engineering (34 papers)EEG and Brain-Computer Interfaces (15 papers)Advanced Memory and Neural Computing (11 papers)

In The Last Decade

Paras R. Patel

48 papers receiving 1.9k citations

Hit Papers

Ultrasmall implantable composite microelectrodes with bio...20122026201620212012100200300400500

Peers

Paras R. Patel
Comparison fields: 5 of 116
  • Cellular and Molecular Neuroscience 1.2k
  • Cognitive Neuroscience 717
  • Electrical and Electronic Engineering 527
  • Biomedical Engineering 466
  • Polymers and Plastics 368
Replace Kevin J. Otto with:
Kevin J. Otto United States
Chi Hun Kim South Korea
Yevgeny Berdichevsky United States
Adam Williamson France
Marco Piccirelli Switzerland
Jia‐Jin Jason Chen Taiwan
T.G.H. Yuen United States
M. Massi Brazil
Pavel Takmakov United States
Terry Parker United Kingdom
Paras R. Patel relative to Kevin J. Otto United States Kevin J. Otto's profile →
Citations per field
00.5×1.5×
Kevin J. Otto · 1×
Citations per year

Countries citing papers authored by Paras R. Patel

Since Specialization
Citations

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

Fields of papers citing papers by Paras R. Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paras R. Patel

This figure shows the co-authorship network connecting the top 25 collaborators of Paras R. Patel. A scholar is included among the top collaborators of Paras R. Patel 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 Paras R. Patel. Paras R. Patel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 4
4 2
5 3
6 9
7 22
8 17
9 30
10 23
11 24
12 8
13 14
14 50
15 28
16 36
17 16
18 47
19 15
20
Ultrasmall implantable composite microelectrodes with bioactive surfaces for chronic neural interfacesbreakdown →
550

About Paras R. Patel

Paras R. Patel is a scholar working on Cellular and Molecular Neuroscience, Filtration and Separation and Cognitive Neuroscience, having authored 53 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (34 papers), EEG and Brain-Computer Interfaces (15 papers) and Advanced Memory and Neural Computing (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Cognitive Neuroscience (717 citations) and Polymers and Plastics (368 citations). Paras R. Patel has collaborated with scholars based in United States, Saudi Arabia and Switzerland. Frequent co-authors include Huanan Zhang, Nicholas A. Kotov, Takashi D.Y. Kozai, Cynthia A. Chestek, W. E. Brown, Daryl R. Kipke, Xiaopei Deng, Karen L. Smith, Nicholas B. Langhals and Joerg Lahann. Their work appears in journals such as Nature Materials, Journal of Neuroscience and ACS Nano.

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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