Kavita Singhal

16 total papers · 616 total citations
9 papers, 507 citations indexed

About

Kavita Singhal is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Mechanics of Materials. According to data from OpenAlex, Kavita Singhal has authored 9 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Electrical and Electronic Engineering, 4 papers in Electronic, Optical and Magnetic Materials and 2 papers in Mechanics of Materials. Recurrent topics in Kavita Singhal's work include Supercapacitor Materials and Fabrication (3 papers), Conducting polymers and applications (2 papers) and Analytical Chemistry and Sensors (2 papers). Kavita Singhal is often cited by papers focused on Supercapacitor Materials and Fabrication (3 papers), Conducting polymers and applications (2 papers) and Analytical Chemistry and Sensors (2 papers). Kavita Singhal collaborates with scholars based in India. Kavita Singhal's co-authors include Ernesto J. Calvo, Roberto Etchenique, Philip N. Bartlett, José H. Hodak, Carlos Santamaría, P. N. Bartlett, Sameena Mehtab, M.G.H. Zaidi, Susan E. Booth and Preeti Joshi and has published in prestigious journals such as Langmuir, Faraday Discussions and Journal of the Chemical Society Perkin Transactions 1.

In The Last Decade

Kavita Singhal

8 papers receiving 501 citations

Author Peers

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

Author						Papers	Cites
Kavita Singhal	365	150	147	142	130	9	507
M. Daniela Angione	314 0.9×	194 1.3×	152 1.0×	47 0.3×	44 0.3×	15	534
Richard Janek	405 1.1×	73 0.5×	87 0.6×	195 1.4×	32 0.2×	7	556
Emmanuelle Boubour	378 1.0×	52 0.3×	47 0.3×	196 1.4×	45 0.3×	6	480
Erika Pringsheim	317 0.9×	215 1.4×	211 1.4×	59 0.4×	19 0.1×	10	581
Jeffrey C. Munro	349 1.0×	45 0.3×	43 0.3×	69 0.5×	163 1.3×	9	583
Lukas Haeussling	277 0.8×	51 0.3×	40 0.3×	39 0.3×	102 0.8×	10	530
Stephen A. Merchant	380 1.0×	202 1.3×	100 0.7×	218 1.5×	21 0.2×	7	462
Andrew K. Bohaty	177 0.5×	85 0.6×	49 0.3×	64 0.5×	45 0.3×	9	547
Serafina Cotrone	350 1.0×	247 1.6×	226 1.5×	48 0.3×	16 0.1×	11	556
Marc Delvaux	353 1.0×	184 1.2×	118 0.8×	175 1.2×	12 0.1×	11	588

Countries citing papers authored by Kavita Singhal

Since Specialization

Citations

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

Fields of papers citing papers by Kavita Singhal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kavita Singhal

This figure shows the co-authorship network connecting the top 25 collaborators of Kavita Singhal. A scholar is included among the top collaborators of Kavita Singhal 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 Kavita Singhal. Kavita Singhal 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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