Deepti Kakkar

95 total papers · 812 total citations
48 papers, 451 citations indexed

About

Deepti Kakkar is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Computer Networks and Communications. According to data from OpenAlex, Deepti Kakkar has authored 48 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 16 papers in Cognitive Neuroscience and 9 papers in Computer Networks and Communications. Recurrent topics in Deepti Kakkar's work include EEG and Brain-Computer Interfaces (11 papers), Autism Spectrum Disorder Research (10 papers) and Vehicular Ad Hoc Networks (VANETs) (9 papers). Deepti Kakkar is often cited by papers focused on EEG and Brain-Computer Interfaces (11 papers), Autism Spectrum Disorder Research (10 papers) and Vehicular Ad Hoc Networks (VANETs) (9 papers). Deepti Kakkar collaborates with scholars based in India. Deepti Kakkar's co-authors include Tanu Wadhera, Balwinder Raj, Girish Wadhwa, Nonita Sharma, Naveen Kumar, Ashish Raman, Monika Mangla, Sachi Nandan Mohanty, Rajneesh Rani and Manish Bansal and has published in prestigious journals such as Applied Physics A, Biomedical Signal Processing and Control and Journal of Electronic Materials.

In The Last Decade

Deepti Kakkar

44 papers receiving 430 citations

Author Peers

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

Author Last Decade Papers Cites
Deepti Kakkar 196 126 118 58 49 48 451
Vito Errico 193 1.0× 309 2.5× 44 0.4× 36 0.6× 26 0.5× 39 524
Abdulaziz Al‐Ali 180 0.9× 82 0.7× 27 0.2× 45 0.8× 25 0.5× 34 551
Sanjeev Kumar 76 0.4× 73 0.6× 72 0.6× 42 0.7× 36 0.7× 52 529
Chunnan Wang 109 0.6× 184 1.5× 39 0.3× 85 1.5× 8 0.2× 48 469
Xiong Zhang 165 0.8× 165 1.3× 241 2.0× 77 1.3× 10 0.2× 36 491
Andrew Oliver 266 1.4× 125 1.0× 111 0.9× 20 0.3× 17 0.3× 48 519
Fabrice O. Morin 78 0.4× 221 1.8× 142 1.2× 50 0.9× 9 0.2× 31 526
Lei Wang 82 0.4× 106 0.8× 114 1.0× 19 0.3× 94 1.9× 25 501
Philipp Schönle 170 0.9× 357 2.8× 130 1.1× 11 0.2× 25 0.5× 20 507
Dong-Wook Lee 143 0.7× 157 1.2× 36 0.3× 25 0.4× 21 0.4× 46 441

Countries citing papers authored by Deepti Kakkar

Since Specialization
Citations

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

Fields of papers citing papers by Deepti Kakkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepti Kakkar

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