Jainendra Shukla

60 total papers · 585 total citations
31 papers, 341 citations indexed

About

Jainendra Shukla is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Jainendra Shukla has authored 31 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 10 papers in Experimental and Cognitive Psychology and 9 papers in Social Psychology. Recurrent topics in Jainendra Shukla's work include Emotion and Mood Recognition (9 papers), EEG and Brain-Computer Interfaces (8 papers) and Autism Spectrum Disorder Research (7 papers). Jainendra Shukla is often cited by papers focused on Emotion and Mood Recognition (9 papers), EEG and Brain-Computer Interfaces (8 papers) and Autism Spectrum Disorder Research (7 papers). Jainendra Shukla collaborates with scholars based in India, Spain and United States. Jainendra Shukla's co-authors include Domènec Puig, Joan Guix Oliver, Miguel Barreda-Ángeles, G. C. Nandi, Aman Parnami, Sumita Sharma, Grace Eden, Deepa Singh, Eduard Fosch‐Villaronga and Saumya Yadav and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Instrumentation and Measurement and Computers in Biology and Medicine.

In The Last Decade

Jainendra Shukla

25 papers receiving 334 citations

Author Peers

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

Author						Papers	Cites
Jainendra Shukla	170	148	75	59	54	31	341
Shkurta Gashi	155 0.9×	117 0.8×	67 0.9×	33 0.6×	43 0.8×	20	372
Mouhannad Ali	193 1.1×	226 1.5×	40 0.5×	50 0.8×	62 1.1×	18	382
Temitayo Olugbade	128 0.8×	142 1.0×	86 1.1×	34 0.6×	35 0.6×	33	391
Chengcheng Hua	231 1.4×	166 1.1×	51 0.7×	29 0.5×	75 1.4×	25	357
Paweł Tarnowski	120 0.7×	205 1.4×	51 0.7×	47 0.8×	31 0.6×	15	345
Fuwang Wang	142 0.8×	151 1.0×	36 0.5×	34 0.6×	97 1.8×	32	367
Debashis Das Chakladar	273 1.6×	66 0.4×	62 0.8×	48 0.8×	53 1.0×	19	393
Saskia Koldijk	81 0.5×	176 1.2×	87 1.2×	50 0.8×	120 2.2×	15	392
Jun-Wen Tan	153 0.9×	157 1.1×	52 0.7×	27 0.5×	62 1.1×	13	332
Rahul Gavas	140 0.8×	57 0.4×	43 0.6×	27 0.5×	38 0.7×	43	308

Countries citing papers authored by Jainendra Shukla

Since Specialization

Citations

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

Fields of papers citing papers by Jainendra Shukla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jainendra Shukla

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