Pranati Nayak

48 total papers · 2.0k total citations
39 papers, 1.7k citations indexed

About

Pranati Nayak is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Pranati Nayak has authored 39 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electrical and Electronic Engineering, 15 papers in Molecular Biology and 15 papers in Materials Chemistry. Recurrent topics in Pranati Nayak's work include Electrochemical sensors and biosensors (13 papers), Conducting polymers and applications (7 papers) and Electrochemical Analysis and Applications (6 papers). Pranati Nayak is often cited by papers focused on Electrochemical sensors and biosensors (13 papers), Conducting polymers and applications (7 papers) and Electrochemical Analysis and Applications (6 papers). Pranati Nayak collaborates with scholars based in India, Saudi Arabia and United Kingdom. Pranati Nayak's co-authors include Husam N. Alshareef, Chuan Xia, Narendra Kurra, Sundara Ramaprabhu, R.B. Rakhi, Qiu Jiang, Christoph Fenzl, Antje J. Baeumner, Thomas Hirsch and Otto S. Wolfbeis and has published in prestigious journals such as Journal of Applied Physics, Scientific Reports and The Journal of Physical Chemistry C.

In The Last Decade

Pranati Nayak

39 papers receiving 1.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pranati Nayak 936 734 610 496 262 39 1.7k
Shawn M. Dirk 1.4k 1.5× 573 0.8× 563 0.9× 340 0.7× 275 1.0× 42 2.0k
Murilo H. M. Facure 666 0.7× 599 0.8× 790 1.3× 330 0.7× 138 0.5× 47 1.7k
Antonio Radoi 781 0.8× 448 0.6× 437 0.7× 475 1.0× 327 1.2× 63 1.5k
A.K. Paul 673 0.7× 830 1.1× 428 0.7× 584 1.2× 244 0.9× 58 1.8k
Siva Kumar Krishnan 701 0.7× 756 1.0× 527 0.9× 437 0.9× 226 0.9× 35 1.7k
Xiaoxue Liu 615 0.7× 679 0.9× 343 0.6× 339 0.7× 213 0.8× 64 1.5k
Luyan Zhang 611 0.7× 464 0.6× 746 1.2× 511 1.0× 239 0.9× 73 1.9k
Alfredo Sánchez 697 0.7× 595 0.8× 604 1.0× 886 1.8× 391 1.5× 69 2.1k
Qinzhi Wang 639 0.7× 1.1k 1.6× 726 1.2× 806 1.6× 269 1.0× 50 2.3k
Amir Hatamie 706 0.8× 718 1.0× 609 1.0× 455 0.9× 434 1.7× 53 2.1k

Countries citing papers authored by Pranati Nayak

Since Specialization
Citations

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

Fields of papers citing papers by Pranati Nayak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pranati Nayak

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

All Works

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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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