Aditya Murthy

2.5k total citations
51 papers, 1.0k citations indexed

About

Aditya Murthy is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Neurology. According to data from OpenAlex, Aditya Murthy has authored 51 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Cognitive Neuroscience, 6 papers in Human-Computer Interaction and 5 papers in Neurology. Recurrent topics in Aditya Murthy's work include Visual perception and processing mechanisms (28 papers), Neural and Behavioral Psychology Studies (23 papers) and Neural dynamics and brain function (20 papers). Aditya Murthy is often cited by papers focused on Visual perception and processing mechanisms (28 papers), Neural and Behavioral Psychology Studies (23 papers) and Neural dynamics and brain function (20 papers). Aditya Murthy collaborates with scholars based in India, United States and France. Aditya Murthy's co-authors include Jeffrey D. Schall, Kirk G. Thompson, Supriya Ray, Takashi Sato, Arjun Ramakrishnan, Stephanie Shorter, Vishal Kapoor, Madhuri Behari, Corrie R. Camalier and Thomas J. Palmeri and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Aditya Murthy

48 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aditya Murthy India 16 925 78 77 74 70 51 1.0k
Claudio de’Sperati Italy 16 517 0.6× 84 1.1× 65 0.8× 160 2.2× 75 1.1× 47 706
Igor Kagan Germany 15 842 0.9× 35 0.4× 188 2.4× 70 0.9× 35 0.5× 40 954
Ryan E. B. Mruczek United States 13 971 1.0× 34 0.4× 74 1.0× 134 1.8× 54 0.8× 29 1.1k
Gijs Plomp Switzerland 24 1.3k 1.4× 29 0.4× 106 1.4× 74 1.0× 62 0.9× 58 1.4k
Fabiana Patria Italy 11 1.2k 1.3× 24 0.3× 103 1.3× 122 1.6× 133 1.9× 12 1.4k
Daniel Baldauf United States 15 1.2k 1.3× 65 0.8× 80 1.0× 209 2.8× 33 0.5× 31 1.4k
Claudia Wilimzig Germany 9 498 0.5× 46 0.6× 55 0.7× 76 1.0× 174 2.5× 10 873
Paul Dassonville United States 21 1.4k 1.6× 66 0.8× 78 1.0× 222 3.0× 206 2.9× 40 1.6k
Leor N. Katz United States 13 594 0.6× 24 0.3× 90 1.2× 38 0.5× 187 2.7× 20 729
Valentina Sulpizio Italy 19 778 0.8× 29 0.4× 55 0.7× 90 1.2× 127 1.8× 43 916

Countries citing papers authored by Aditya Murthy

Since Specialization
Citations

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

Fields of papers citing papers by Aditya Murthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aditya Murthy

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

All Works

20 of 20 papers shown
1.
2.
Murthy, Aditya, et al.. (2022). Neck muscle activity reflects neural patterns of sequential saccade planning in head-restrained primates. Journal of Neurophysiology. 128(4). 927–933. 1 indexed citations
3.
Goldberg, Michael E., et al.. (2021). Neural correlates of goal-directed and non–goal-directed movements. Proceedings of the National Academy of Sciences. 118(6). 14 indexed citations
4.
Murthy, Aditya, et al.. (2021). Preparatory activity links the frontal eye field response with small amplitude motor unit recruitment of neck muscles during gaze planning. Journal of Neurophysiology. 126(2). 451–463. 2 indexed citations
5.
Murthy, Aditya, et al.. (2021). Neural mechanisms underlying the temporal control of sequential saccade planning in the frontal eye field. Proceedings of the National Academy of Sciences. 118(40). 5 indexed citations
6.
Murthy, Aditya, et al.. (2021). A Stochastic Optimal Control Model with Internal Feedback and Velocity Tracking for Saccadic Eye Movements. Biomedical Signal Processing and Control. 68. 102679–102679. 4 indexed citations
7.
Shashidhara, Sneha, et al.. (2020). Perceptual Priming Can Increase or Decrease With Aging. Frontiers in Aging Neuroscience. 12. 576922–576922. 1 indexed citations
8.
Murthy, Aditya, et al.. (2020). Assessing within‐trial and across‐trial neural variability in macaque frontal eye fields and their relation to behaviour. European Journal of Neuroscience. 52(10). 4267–4282. 6 indexed citations
9.
Murthy, Aditya, et al.. (2020). Spatiotemporal Coupling between Eye and Hand Trajectories during Curved Hand Movements. Journal of Motor Behavior. 53(1). 47–58.
10.
Murthy, Aditya, et al.. (2019). Parallel programming of saccades in the macaque frontal eye field: are sequential motor plans coactivated?. Journal of Neurophysiology. 123(1). 107–119. 11 indexed citations
11.
Singh, Puneet, Abhishek Lenka, Albert Stezin, et al.. (2019). Basal ganglia contributions during the learning of a visuomotor rotation: Effect of dopamine, deep brain stimulation and reinforcement. European Journal of Neuroscience. 50(8). 3349–3364. 7 indexed citations
12.
Murthy, Aditya, et al.. (2017). Simultaneous analysis of the LFP and spiking activity reveals essential components of a visuomotor transformation in the frontal eye field. Proceedings of the National Academy of Sciences. 114(24). 6370–6375. 15 indexed citations
13.
Murthy, Aditya, et al.. (2016). Parallel activation of prospective motor plans during visually‐guided sequential saccades. European Journal of Neuroscience. 45(5). 631–642. 3 indexed citations
14.
Singh, Puneet, et al.. (2016). Exploration of joint redundancy but not task space variability facilitates supervised motor learning. Proceedings of the National Academy of Sciences. 113(50). 14414–14419. 47 indexed citations
15.
Ramakrishnan, Arjun & Aditya Murthy. (2013). Brain mechanisms controlling decision making and motor planning. Progress in brain research. 202. 321–345. 7 indexed citations
16.
Ray, Supriya, et al.. (2009). Attention for action during error correction. Progress in brain research. 176. 227–244. 5 indexed citations
17.
Kapoor, Vishal & Aditya Murthy. (2008). Covert inhibition potentiates online control in a double-step task. Journal of Vision. 8(1). 20–20. 33 indexed citations
18.
Camalier, Corrie R., Aditya Murthy, K.G. Thompson, et al.. (2007). Dynamics of saccade target selection: Race model analysis of double step and search step saccade production in human and macaque. Vision Research. 47(16). 2187–2211. 106 indexed citations
19.
Murthy, Aditya, et al.. (2006). Frontal Eye Field Contributions to Rapid Corrective Saccades. Journal of Neurophysiology. 97(2). 1457–1469. 71 indexed citations
20.
Schall, Jeffrey D., Kirk G. Thompson, Narcisse P. Bichot, Aditya Murthy, & Takashi Sato. (2003). 9 Visual Processing in the Macaque Frontal Eye Field. 1 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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