James V. Haxby

49.0k total citations · 19 hit papers
205 papers, 35.3k citations indexed

About

James V. Haxby is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, James V. Haxby has authored 205 papers receiving a total of 35.3k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Cognitive Neuroscience, 36 papers in Psychiatry and Mental health and 28 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in James V. Haxby's work include Face Recognition and Perception (73 papers), Functional Brain Connectivity Studies (46 papers) and Visual perception and processing mechanisms (44 papers). James V. Haxby is often cited by papers focused on Face Recognition and Perception (73 papers), Functional Brain Connectivity Studies (46 papers) and Visual perception and processing mechanisms (44 papers). James V. Haxby collaborates with scholars based in United States, Italy and United Kingdom. James V. Haxby's co-authors include M. Ida Gobbini, Leslie G. Ungerleider, Alex Martin, Leslie G. Ungerleider, Alumit Ishai, Pietro Pietrini, Jennifer L. Schouten, C. L. Grady, Maura L. Furey and Laurent Petit and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

James V. Haxby

204 papers receiving 34.2k citations

Hit Papers

Distributed and Overlapping Representations of Faces a... 1986 2026 1999 2012 2001 2006 1994 1996 2000 500 1000 1.5k 2.0k 2.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex
    2001 2.7k citations James V. Haxby, M. Ida Gobbini et al. profile →
  2. Beyond mind-reading: multi-voxel pattern analysis of fMRI data
    2006 1.6k citations James V. Haxby et al. profile →
  3. ‘What’ and ‘where’ in the human brain
    1994 1.3k citations James V. Haxby et al. profile →
  4. Neural correlates of category-specific knowledge
    1996 1.2k citations James V. Haxby et al. profile →
  5. Distinct representations of eye gaze and identity in the distributed human neural system for face perception
    2000 974 citations James V. Haxby et al. profile →
  6. Attribute-based neural substrates in temporal cortex for perceiving and knowing about objects
    1999 971 citations James V. Haxby et al. profile →
  7. Human neural systems for face recognition and social communication
    2002 946 citations James V. Haxby, M. Ida Gobbini et al. profile →
  8. Spatial Pattern Analysis of Functional Brain Images Using Partial Least Squares
    1996 880 citations Anthony R. McIntosh, James V. Haxby et al. NeuroImage profile →
  9. Discrete Cortical Regions Associated with Knowledge of Color and Knowledge of Action
    1995 835 citations James V. Haxby et al. profile →
  10. A Developmental Functional MRI Study of Prefrontal Activation during Performance of a Go-No-Go Task
    1997 830 citations James V. Haxby et al. Journal of Cognitive Neuroscience profile →
  11. An Area Specialized for Spatial Working Memory in Human Frontal Cortex
    1998 755 citations Laurent Petit, James V. Haxby et al. profile →
  12. Dissociation of object and spatial visual processing pathways in human extrastriate cortex.
    1991 733 citations James V. Haxby, C. L. Grady et al. Proceedings of the National Academy of Sciences profile →
  13. Neural systems for recognition of familiar faces
    2006 711 citations M. Ida Gobbini, James V. Haxby profile →
  14. Distributed representation of objects in the human ventral visual pathway
    1999 687 citations James V. Haxby et al. Proceedings of the National Academy of Sciences profile →
  15. A neural system for human visual working memory
    1998 540 citations James V. Haxby et al. Proceedings of the National Academy of Sciences profile →
  16. Age-Related Reductions in Human Recognition Memory Due to Impaired Encoding
    1995 525 citations Anthony R. McIntosh, Barry Horwitz et al. profile →
  17. Decoding Neural Representational Spaces Using Multivariate Pattern Analysis
    2014 467 citations James V. Haxby, Andrew C. Connolly et al. profile →
  18. Positron emission tomography in Alzheimer's disease
    1986 438 citations C. L. Grady, James V. Haxby et al. profile →
  19. CoSMoMVPA: Multi-Modal Multivariate Pattern Analysis of Neuroimaging Data in Matlab/GNU Octave
    2016 427 citations Nikolaas N. Oosterhof, Andrew C. Connolly et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James V. Haxby United States 89 28.5k 6.5k 5.3k 3.9k 2.9k 205 35.3k
Gregory McCarthy United States 91 27.6k 1.0× 6.6k 1.0× 3.9k 0.7× 3.4k 0.9× 2.7k 0.9× 231 35.4k
Gordon L. Shulman United States 68 38.9k 1.4× 7.0k 1.1× 3.4k 0.6× 4.3k 1.1× 6.3k 2.2× 133 44.8k
Richard N. Henson United Kingdom 88 25.9k 0.9× 4.6k 0.7× 2.5k 0.5× 3.0k 0.8× 3.9k 1.4× 310 31.4k
Martin I. Sereno United States 52 25.0k 0.9× 3.5k 0.5× 2.6k 0.5× 3.9k 1.0× 8.1k 2.8× 126 32.8k
Mark D’Esposito United States 115 40.9k 1.4× 7.5k 1.2× 4.0k 0.7× 4.9k 1.3× 5.2k 1.8× 431 50.3k
John C. Mazziotta United States 74 14.7k 0.5× 3.2k 0.5× 6.4k 1.2× 5.9k 1.5× 8.1k 2.8× 168 30.2k
Alex Martin United States 80 21.9k 0.8× 5.8k 0.9× 6.2k 1.2× 3.1k 0.8× 1.9k 0.6× 194 26.7k
Keith J. Worsley Canada 63 18.6k 0.7× 3.2k 0.5× 2.2k 0.4× 3.7k 0.9× 6.7k 2.3× 129 29.0k
Leslie G. Ungerleider United States 84 28.0k 1.0× 5.0k 0.8× 4.3k 0.8× 1.6k 0.4× 1.8k 0.6× 197 32.2k
Scott Makeig United States 81 43.6k 1.5× 6.7k 1.0× 3.8k 0.7× 2.8k 0.7× 1.8k 0.6× 262 50.6k

Countries citing papers authored by James V. Haxby

Since Specialization
Citations

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

Fields of papers citing papers by James V. Haxby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James V. Haxby. 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 James V. Haxby. The network helps show where James V. Haxby may publish in the future.

Co-authorship network of co-authors of James V. Haxby

This figure shows the co-authorship network connecting the top 25 collaborators of James V. Haxby. A scholar is included among the top collaborators of James V. Haxby 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 James V. Haxby. James V. Haxby 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.
Haxby, James V.. (2024). The Laboratory of Brain and Cognition: A Lab Is Born. Journal of Cognitive Neuroscience. 36(12). 2562–2564. 1 indexed citations
2.
Jiahui, Guo, Ma Feilong, Samuel A. Nastase, James V. Haxby, & M. Ida Gobbini. (2023). Cross-movie prediction of individualized functional topography. eLife. 12. 3 indexed citations
3.
Connolly, Andrew C., Long Sha, J. Swaroop Guntupalli, et al.. (2016). How the Human Brain Represents Perceived Dangerousness or “Predacity” of Animals. Journal of Neuroscience. 36(19). 5373–5384. 36 indexed citations
4.
Chen, Po-Hsuan, Janice Chen, Yaara Yeshurun, et al.. (2015). A reduced-dimension fMRI shared response model. Neural Information Processing Systems. 28. 460–468. 74 indexed citations
5.
Connolly, Andrew C. & James V. Haxby. (2012). Brain activity shows that mammals are more animate than reptiles and bugs. Journal of Vision. 12(9). 1108–1108. 1 indexed citations
6.
Connolly, Andrew C., J. Swaroop Guntupalli, Jason Gors, et al.. (2012). The Representation of Biological Classes in the Human Brain. Journal of Neuroscience. 32(8). 2608–2618. 260 indexed citations
7.
Haxby, James V.. (2012). Multivariate pattern analysis of fMRI: The early beginnings. NeuroImage. 62(2). 852–855. 254 indexed citations
8.
Haxby, James V. & M. Ida Gobbini. (2011). Distributed Neural Systems for Face Perception. Oxford University Press eBooks. 147 indexed citations
9.
Guntupalli, J. Swaroop & James V. Haxby. (2011). Deriving a neural basis for ventral temporal cortex. Journal of Vision. 11(11). 880–880. 1 indexed citations
10.
Kohler, Peter J., Michael Hanke, Yaroslav O. Halchenko, et al.. (2011). STMVPA: Spatiotemporal multivariate pattern analysis permits fine-grained visual categorization. Journal of Vision. 11(11). 814–814. 2 indexed citations
11.
Connolly, Andrew C. & James V. Haxby. (2010). Similarity-based multi-voxel pattern analysis reveals an emergent taxonomy of animal species along the object vision pathway. Journal of Vision. 10(7). 964–964. 1 indexed citations
12.
Gentili, Claudio, M. Ida Gobbini, Emiliano Ricciardi, et al.. (2008). Imbalanced between attentional and emotional system in social phobics processing social relevant stimulli. Psychology and Health. 23. 128–129. 1 indexed citations
13.
Pietrini, Pietro, Maura L. Furey, Emiliano Ricciardi, et al.. (2004). Beyond sensory images: Object-based representation in the human ventral pathway. Proceedings of the National Academy of Sciences. 101(15). 5658–5663. 337 indexed citations
14.
Beauchamp, Michael S., Laurent Petit, Timothy M. Ellmore, John E. Ingeholm, & James V. Haxby. (2001). A Parametric fMRI Study of Overt and Covert Shifts of Visuospatial Attention. NeuroImage. 14(2). 310–321. 275 indexed citations
15.
DeCarli, Charles, C. L. Grady, Christopher Clark, et al.. (1996). Comparison of positron emission tomography, cognition, and brain volume in Alzheimer's disease with and without severe abnormalities of white matter.. Journal of Neurology Neurosurgery & Psychiatry. 60(2). 158–167. 66 indexed citations
16.
McIntosh, Anthony R., et al.. (1996). Changes in Limbic and Prefrontal Functional Interactions in a Working Memory Task for Faces. Cerebral Cortex. 6(4). 571–584. 114 indexed citations
17.
Soncrant, Timothy T., Kathleen C. Raffaele, Sanjay Asthana, et al.. (1993). Memory improvement without toxicity during chronic, low dose intravenous arecoline in Alzheimer's disease. Psychopharmacology. 112(4). 421–427. 58 indexed citations
18.
Parasuraman, Raja, Pamela M. Greenwood, James V. Haxby, & Cheryl Grady. (1992). VISUOSPATIAL ATTENTION IN DEMENTIA OF THE ALZHEIMER TYPE. Brain. 115(3). 711–733. 226 indexed citations
19.
Grady, C. L., James V. Haxby, Barry Horwitz, et al.. (1988). Longitudinal study of the early neuropsychological and cerebral metabolic changes in dementia of the Alzheimer type. Journal of clinical and experimental neuropsychology. 10(5). 576–596. 285 indexed citations
20.
Luxenberg, Jay S., Christopher W. May, James V. Haxby, et al.. (1987). Cerebral metabolism, anatomy, and cognition in monozygotic twins discordant for dementia of the Alzheimer type.. Journal of Neurology Neurosurgery & Psychiatry. 50(3). 333–340. 20 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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