Dvijesh Shastri

39 total papers · 703 total citations
26 papers, 519 citations indexed

About

Dvijesh Shastri is a scholar working on Social Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Dvijesh Shastri has authored 26 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Social Psychology, 7 papers in Cognitive Neuroscience and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Dvijesh Shastri's work include Deception detection and forensic psychology (6 papers), Emotion and Mood Recognition (5 papers) and Infrared Thermography in Medicine (4 papers). Dvijesh Shastri is often cited by papers focused on Deception detection and forensic psychology (6 papers), Emotion and Mood Recognition (5 papers) and Infrared Thermography in Medicine (4 papers). Dvijesh Shastri collaborates with scholars based in United States, Greece and India. Dvijesh Shastri's co-authors include Ioannis Pavlidis, Panagiotis Tsiamyrtzis, Arcangelo Merla, Mark G. Frank, Jonathan Dowdall, Paul Ekman, Manos Papadakis, Pradeep Buddharaju, Zhigang Deng and Brian J. Dunkin and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Biomedical Engineering and International Journal of Computer Vision.

In The Last Decade

Dvijesh Shastri

24 papers receiving 500 citations

Author Peers

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

Author						Papers	Cites
Dvijesh Shastri	169	162	141	126	88	26	519
Colin Puri	64 0.4×	92 0.6×	98 0.7×	66 0.5×	115 1.3×	14	451
Stephanie Balters	218 1.3×	148 0.9×	47 0.3×	186 1.5×	54 0.6×	31	489
Olympia Simantiraki	102 0.6×	251 1.5×	27 0.2×	168 1.3×	125 1.4×	13	554
Sébastien Scannella	255 1.5×	110 0.7×	86 0.6×	365 2.9×	101 1.1×	27	619
Gautier Durantin	179 1.1×	73 0.5×	128 0.9×	271 2.2×	135 1.5×	16	548
Steffen Walter	69 0.4×	286 1.8×	29 0.2×	215 1.7×	68 0.8×	27	528
Haruyuki Kojima	60 0.4×	113 0.7×	39 0.3×	323 2.6×	27 0.3×	49	516
Kristian Lukander	156 0.9×	111 0.7×	22 0.2×	242 1.9×	43 0.5×	26	586
Takeo Tsujii	49 0.3×	51 0.3×	117 0.8×	295 2.3×	55 0.6×	24	503
Gert-Jan de Vries	142 0.8×	212 1.3×	12 0.1×	264 2.1×	87 1.0×	17	583

Countries citing papers authored by Dvijesh Shastri

Since Specialization

Citations

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

Fields of papers citing papers by Dvijesh Shastri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dvijesh Shastri

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