Geoffrey M. Ghose

2.6k total citations
37 papers, 1.9k citations indexed

About

Geoffrey M. Ghose is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Geoffrey M. Ghose has authored 37 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cognitive Neuroscience, 9 papers in Cellular and Molecular Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Geoffrey M. Ghose's work include Neural dynamics and brain function (33 papers), Visual perception and processing mechanisms (24 papers) and Neural and Behavioral Psychology Studies (9 papers). Geoffrey M. Ghose is often cited by papers focused on Neural dynamics and brain function (33 papers), Visual perception and processing mechanisms (24 papers) and Neural and Behavioral Psychology Studies (9 papers). Geoffrey M. Ghose collaborates with scholars based in United States, Netherlands and France. Geoffrey M. Ghose's co-authors include John H. R. Maunsell, Ralph D. Freeman, Izumi Ohzawa, Tianming Yang, Gregory C. DeAngelis, Daniel Y. Ts’o, William H. Bosking, Daniel Yoshor, John A. Assad and Brett D. Noerager and has published in prestigious journals such as Nature, Nature Communications and Neuron.

In The Last Decade

Geoffrey M. Ghose

36 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Geoffrey M. Ghose United States 20 1.8k 559 146 143 87 37 1.9k
Bernt C. Skottun United Kingdom 25 2.3k 1.3× 693 1.2× 183 1.3× 226 1.6× 150 1.7× 81 2.6k
Daniel J. Felleman United States 12 1.4k 0.8× 374 0.7× 134 0.9× 202 1.4× 84 1.0× 17 1.7k
Valentin Dragoi United States 22 2.0k 1.1× 956 1.7× 127 0.9× 125 0.9× 79 0.9× 61 2.2k
Simona Celebrini France 15 2.1k 1.2× 538 1.0× 234 1.6× 242 1.7× 135 1.6× 21 2.2k
Jasper Poort United Kingdom 14 1.6k 0.9× 740 1.3× 62 0.4× 165 1.2× 126 1.4× 18 1.7k
Sergio Neuenschwander Germany 24 2.2k 1.3× 1.2k 2.1× 93 0.6× 184 1.3× 114 1.3× 37 2.4k
Eyal Seidemann United States 20 1.6k 0.9× 746 1.3× 57 0.4× 250 1.7× 127 1.5× 34 1.9k
Timothy D. Hanks United States 14 1.8k 1.0× 443 0.8× 167 1.1× 188 1.3× 167 1.9× 21 2.1k
John B. Reppas United States 8 1.8k 1.0× 422 0.8× 114 0.8× 327 2.3× 61 0.7× 9 1.9k
Hedva Spitzer Israel 13 1.5k 0.9× 330 0.6× 117 0.8× 153 1.1× 69 0.8× 42 1.7k

Countries citing papers authored by Geoffrey M. Ghose

Since Specialization
Citations

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

Fields of papers citing papers by Geoffrey M. Ghose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geoffrey M. Ghose. 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 Geoffrey M. Ghose. The network helps show where Geoffrey M. Ghose may publish in the future.

Co-authorship network of co-authors of Geoffrey M. Ghose

This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey M. Ghose. A scholar is included among the top collaborators of Geoffrey M. Ghose 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 Geoffrey M. Ghose. Geoffrey M. Ghose 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.
Dowdle, Logan T., Luca Vizioli, Steen Moeller, et al.. (2023). Evaluating increases in sensitivity from NORDIC for diverse fMRI acquisition strategies. NeuroImage. 270. 119949–119949. 11 indexed citations
2.
Lage‐Castellanos, Agustín, Federico De Martino, Geoffrey M. Ghose, Ömer Faruk Gülban, & Michelle Moerel. (2022). Selective attention sharpens population receptive fields in human auditory cortex. Cerebral Cortex. 33(9). 5395–5408. 6 indexed citations
3.
Dowdle, Logan T., et al.. (2021). Statistical power or more precise insights into neuro-temporal dynamics? Assessing the benefits of rapid temporal sampling in fMRI. Progress in Neurobiology. 207. 102171–102171. 7 indexed citations
4.
Dowdle, Logan T., Geoffrey M. Ghose, Kâmil Uǧurbil, Essa Yacoub, & Luca Vizioli. (2020). Clarifying the role of higher-level cortices in resolving perceptual ambiguity using ultra high field fMRI. NeuroImage. 227. 117654–117654. 6 indexed citations
5.
Ghose, Geoffrey M. & Daniel Y. Ts’o. (2017). Integration of color, orientation, and size functional domains in the ventral pathway. Neurophotonics. 4(3). 31216–31216. 9 indexed citations
6.
McLoon, Linda K., Stephen P. Christiansen, Geoffrey M. Ghose, Vallabh E. Das, & Michael J. Mustari. (2016). Improvement of Eye Alignment in Adult Strabismic Monkeys by Sustained IGF-1 Treatment. Investigative Ophthalmology & Visual Science. 57(14). 6070–6070. 11 indexed citations
7.
Ghose, Geoffrey M.. (2015). Vision and vigilance on the go. Trends in Cognitive Sciences. 19(3). 115–116. 1 indexed citations
8.
Ghose, Geoffrey M., et al.. (2014). Rapid shape detection signals in area V4. Frontiers in Neuroscience. 8. 294–294. 3 indexed citations
9.
Harrison, Ian T., et al.. (2013). Inattention Blindness to Motion in Middle Temporal Area. Journal of Neuroscience. 33(19). 8396–8410. 7 indexed citations
10.
Ghose, Geoffrey M. & John H. R. Maunsell. (2008). Spatial Summation Can Explain the Attentional Modulation of Neuronal Responses to Multiple Stimuli in Area V4. Journal of Neuroscience. 28(19). 5115–5126. 61 indexed citations
11.
Yoshor, Daniel, Geoffrey M. Ghose, William H. Bosking, Ping Sun, & John H. R. Maunsell. (2007). Spatial Attention Does Not Strongly Modulate Neuronal Responses in Early Human Visual Cortex. Journal of Neuroscience. 27(48). 13205–13209. 53 indexed citations
12.
Yoshor, Daniel, William H. Bosking, Geoffrey M. Ghose, & John H. R. Maunsell. (2006). Receptive Fields in Human Visual Cortex Mapped with Surface Electrodes. Cerebral Cortex. 17(10). 2293–2302. 118 indexed citations
13.
Ghose, Geoffrey M.. (2006). Strategies optimize the detection of motion transients. Journal of Vision. 6(4). 10–10. 25 indexed citations
14.
Ghose, Geoffrey M.. (2004). Learning in mammalian sensory cortex. Current Opinion in Neurobiology. 14(4). 513–518. 51 indexed citations
15.
Ghose, Geoffrey M. & John H. R. Maunsell. (2004). Flexible center-surround attentional gain fields in V4 neurons. Journal of Vision. 4(8). 8–8. 2 indexed citations
16.
Ghose, Geoffrey M., Tianming Yang, & John H. R. Maunsell. (2002). Physiological Correlates of Perceptual Learning in Monkey V1 and V2. Journal of Neurophysiology. 87(4). 1867–1888. 243 indexed citations
17.
Maunsell, John H. R., et al.. (1999). Visual response latencies of magnocellular and parvocellular LGN neurons in macaque monkeys. Visual Neuroscience. 16(1). 1–14. 217 indexed citations
18.
Ghose, Geoffrey M. & John H. R. Maunsell. (1999). Specialized Representations in Visual Cortex. Neuron. 24(1). 79–85. 66 indexed citations
19.
Ghose, Geoffrey M., Izumi Ohzawa, & Ralph D. Freeman. (1995). A flexible PC-based physiological monitor for animal experiments. Journal of Neuroscience Methods. 62(1-2). 7–13. 13 indexed citations
20.
Ghose, Geoffrey M., Izumi Ohzawa, & Ralph D. Freeman. (1991). Pathways in the visual cortex revealed by receptive field mapping of correlated discharge. The Society for Neuroscience Abstracts. 17. 177. 2 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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