Dinkar Sharma

3.1k total citations
70 papers, 2.2k citations indexed

About

Dinkar Sharma is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Physical and Theoretical Chemistry. According to data from OpenAlex, Dinkar Sharma has authored 70 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Experimental and Cognitive Psychology, 29 papers in Cognitive Neuroscience and 17 papers in Physical and Theoretical Chemistry. Recurrent topics in Dinkar Sharma's work include Neural and Behavioral Psychology Studies (21 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (19 papers) and Photochemistry and Electron Transfer Studies (17 papers). Dinkar Sharma is often cited by papers focused on Neural and Behavioral Psychology Studies (21 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (19 papers) and Photochemistry and Electron Transfer Studies (17 papers). Dinkar Sharma collaborates with scholars based in United Kingdom, Canada and United States. Dinkar Sharma's co-authors include Frank McKenna, Ian P. Albery, R. W. Yip, Tobias Brosch, Robert W. Booth, Christopher C. H. Cook, M. R. V. Sahyun, Denis Gravel, Richard Giasson and Tiina M. Eilola and has published in prestigious journals such as The Journal of Chemical Physics, PLoS ONE and The Journal of Physical Chemistry.

In The Last Decade

Dinkar Sharma

68 papers receiving 2.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dinkar Sharma United Kingdom	25	1.1k	851	338	290	246	70	2.2k
Antao Chen China	34	1.6k 1.6×	559 0.7×	339 1.0×	178 0.6×	162 0.7×	263	4.9k
Hackjin Kim South Korea	27	2.4k 2.3×	1.0k 1.2×	614 1.8×	356 1.2×	36 0.1×	91	3.8k
Michel Bonnet France	37	2.3k 2.2×	475 0.6×	451 1.3×	99 0.3×	367 1.5×	153	4.7k
Keisuke Suzuki Japan	21	1.1k 1.1×	671 0.8×	705 2.1×	457 1.6×	380 1.5×	75	3.4k
Andrew J. Tilley Australia	26	534 0.5×	672 0.8×	214 0.6×	53 0.2×	223 0.9×	59	2.6k
Erik Pettersson Sweden	26	404 0.4×	321 0.4×	156 0.5×	604 2.1×	123 0.5×	80	2.5k
Heather L. Gordon Canada	14	676 0.6×	358 0.4×	462 1.4×	234 0.8×	27 0.1×	34	1.4k
Saori Tanaka Japan	26	1.3k 1.2×	353 0.4×	172 0.5×	223 0.8×	74 0.3×	117	2.7k
Christian Vollmer Germany	30	366 0.3×	1.0k 1.2×	372 1.1×	190 0.7×	292 1.2×	65	2.6k
Daniel P. Kennedy United States	32	4.1k 3.8×	531 0.6×	562 1.7×	695 2.4×	57 0.2×	84	5.5k

Countries citing papers authored by Dinkar Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Dinkar Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dinkar Sharma

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

All Works

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20 of 20 papers shown

Sharma, Dinkar, et al.. (2021). Spontaneous recognition: Investigating the role of working memory. Memory & Cognition. 49(8). 1665–1676.

Sharma, Dinkar, et al.. (2021). Ink colours as task-irrelevant information decrease memory accuracy with the Associative Memory Stroop Task. Acta Psychologica. 216. 103306–103306.

Booth, Robert W. & Dinkar Sharma. (2021). Biased probability estimates in trait anxiety and trait depression are unrelated to biased availability. Journal of Behavior Therapy and Experimental Psychiatry. 73. 101672–101672. 4 indexed citations

Sharma, Dinkar, et al.. (2019). Priming Emotional Salience Reveals the Role of Episodic Memory and Task Conflict in the Non-color Word Stroop Task. Frontiers in Psychology. 10. 1826–1826. 2 indexed citations

Booth, Robert W., et al.. (2019). A relationship between weak attentional control and cognitive distortions, explained by negative affect. PLoS ONE. 14(4). e0215399–e0215399. 6 indexed citations

Dumay, Nicolas, et al.. (2018). Setting the alarm: Word emotional attributes require consolidation to be operational.. Emotion. 18(8). 1078–1096. 3 indexed citations

Pappous, Athanasios, et al.. (2018). Effect of Mindfulness Based Stress Reduction (MBSR) in Increasing Pain Tolerance and Improving the Mental Health of Injured Athletes. Frontiers in Psychology. 9. 722–722. 47 indexed citations

Sharma, Dinkar. (2016). Priming can affect naming colours using the study-test procedure. Revealing the role of task conflict. Acta Psychologica. 189. 19–25. 3 indexed citations

Booth, Robert W., Bundy Mackintosh, & Dinkar Sharma. (2016). Working memory regulates trait anxiety-related threat processing biases.. Emotion. 17(4). 616–627. 17 indexed citations

10.

Wilkinson, David G., Sergio Moreno, Chee Siang Ang, et al.. (2015). Emotional correlates of unirhinal odour identification. Laterality Asymmetries of Body Brain and Cognition. 21(1). 85–99. 2 indexed citations

11.

Albery, Ian P., et al.. (2015). Testing a frequency of exposure hypothesis in attentional bias for alcohol-related stimuli amongst social drinkers. Addictive Behaviors Reports. 1. 68–72. 20 indexed citations

12.

Booth, Robert W., et al.. (2015). The age of anxiety? It depends where you look: changes in STAI trait anxiety, 1970–2010. Social Psychiatry and Psychiatric Epidemiology. 51(2). 193–202. 40 indexed citations

13.

Weger, Ulrich, et al.. (2015). Virtually compliant: Immersive video gaming increases conformity to false computer judgments. Psychonomic Bulletin & Review. 22(4). 1111–1116. 6 indexed citations

14.

Hotham, Sarah & Dinkar Sharma. (2015). The relationship between top-down attentional control and changes in weight. Eating Behaviors. 18. 81–83. 1 indexed citations

15.

Kramer, Robin S. S., Alex L. Jones, & Dinkar Sharma. (2013). Sequential Effects in Judgements of Attractiveness: The Influences of Face Race and Sex. PLoS ONE. 8(12). e82226–e82226. 20 indexed citations

16.

Hotham, Sarah, et al.. (2012). Restrained eaters preserve top–down attentional control in the presence of food. Appetite. 58(3). 1160–1163. 5 indexed citations

17.

Moss, Antony C., Ian P. Albery, & Dinkar Sharma. (2011). Development of a repeated measures affective change blindness task. Behavior Research Methods. 43(3). 826–833. 2 indexed citations

18.

Brosch, Tobias & Dinkar Sharma. (2005). The Role of Fear-Relevant Stimuli in Visual Search: A Comparison of Phylogenetic and Ontogenetic Stimuli.. Emotion. 5(3). 360–364. 118 indexed citations

19.

McKenna, Frank & Dinkar Sharma. (2004). Reversing the Emotional Stroop Effect Reveals That It Is Not What It Seems: The Role of Fast and Slow Components.. Journal of Experimental Psychology Learning Memory and Cognition. 30(2). 382–392. 207 indexed citations

20.

Sharma, Dinkar & Frank McKenna. (2001). The role of time pressure in the emotional Stroop task.. Kent Academic Repository (University of Kent). 3 indexed citations

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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