Alexander J.E. Kell

1.1k total citations
13 papers, 510 citations indexed

About

Alexander J.E. Kell is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Alexander J.E. Kell has authored 13 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Social Psychology. Recurrent topics in Alexander J.E. Kell's work include Neural dynamics and brain function (5 papers), Face Recognition and Perception (4 papers) and Visual Attention and Saliency Detection (3 papers). Alexander J.E. Kell is often cited by papers focused on Neural dynamics and brain function (5 papers), Face Recognition and Perception (4 papers) and Visual Attention and Saliency Detection (3 papers). Alexander J.E. Kell collaborates with scholars based in United States, Germany and Australia. Alexander J.E. Kell's co-authors include Josh H. McDermott, Daniel Yamins, Sam Norman-Haignere, Nancy Kanwisher, Katharina Dobs, Evelina Fedorenko, Olessia Jouravlev, Zachary Mineroff, Michael B. Cohen and Daniel D. Dilks and has published in prestigious journals such as Nature Communications, Neuron and NeuroImage.

In The Last Decade

Alexander J.E. Kell

13 papers receiving 503 citations

Peers

Alexander J.E. Kell

ECP

CVPR

Bahar Khalighinejad United States

Trevor Agus France

Lars Gutschalk Hausfeld Netherlands

Alexis Kirke United Kingdom

Heiko H. Schütt Germany

Jon Touryan United States

Sam Norman-Haignere United States

Arash Yazdanbakhsh United States

Christophe Savariaux France

Chi-Tat Law United States

Bahar Khalighinejad United States

Alexander J.E. Kell

329 ×0.7

96 ×1.4

64 ×1.0

ECP

49 ×0.8

8 ×0.1

CVPR

Citations per year, relative to Alexander J.E. Kell Alexander J.E. Kell (= 1×) peers Bahar Khalighinejad

Countries citing papers authored by Alexander J.E. Kell

Since Specialization

Citations

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

Fields of papers citing papers by Alexander J.E. Kell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander J.E. Kell. 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 Alexander J.E. Kell. The network helps show where Alexander J.E. Kell may publish in the future.

Co-authorship network of co-authors of Alexander J.E. Kell

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

All Works

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13 of 13 papers shown

Dobs, Katharina, et al.. (2022). Brain-like functional specialization emerges spontaneously in deep neural networks. Science Advances. 8(11). 69 indexed citations

Kell, Alexander J.E., et al.. (2022). Marmoset core visual object recognition behavior is comparable to that of macaques and humans. iScience. 26(1). 105788–105788. 7 indexed citations

Jouravlev, Olessia, et al.. (2020). Reduced Language Lateralization in Autism and the Broader Autism Phenotype as Assessed with Robust Individual‐Subjects Analyses. Autism Research. 13(10). 1746–1761. 36 indexed citations

Dobs, Katharina, et al.. (2020). Using task-optimized neural networks to understand why brains have specialized processing for faces. Journal of Vision. 20(11). 660–660. 3 indexed citations

Kell, Alexander J.E. & Josh H. McDermott. (2019). Deep neural network models of sensory systems: windows onto the role of task constraints. Current Opinion in Neurobiology. 55. 121–132. 55 indexed citations

Cohen, Michael B., Daniel D. Dilks, Kami Koldewyn, et al.. (2019). Representational similarity precedes category selectivity in the developing ventral visual pathway. NeuroImage. 197. 565–574. 24 indexed citations

Kell, Alexander J.E. & Josh H. McDermott. (2019). Invariance to background noise as a signature of non-primary auditory cortex. Nature Communications. 10(1). 3958–3958. 32 indexed citations

Dobs, Katharina, et al.. (2019). Why Are Face and Object Processing Segregated in the Human Brain? Testing Computational Hypotheses with Deep Convolutional Neural Networks. 3 indexed citations

Kell, Alexander J.E., et al.. (2018). A Task-Optimized Neural Network Replicates Human Auditory Behavior, Predicts Brain Responses, and Reveals a Cortical Processing Hierarchy. Neuron. 98(3). 630–644.e16. 269 indexed citations

10.

Carlile, Simon, Gregory Ciccarelli, Anna C. Diedesch, et al.. (2017). Listening Into 2030 Workshop: An Experiment in Envisioning the Future of Hearing and Communication Science. Trends in Hearing. 21. 2758749396–2758749396. 2 indexed citations

11.

Kell, Alexander J.E. & Josh H. McDermott. (2017). Robustness to real-world background noise increases between primary and non-primary human auditory cortex. The Journal of the Acoustical Society of America. 141(5_Supplement). 3896–3896. 5 indexed citations

12.

Kell, Alexander J.E., et al.. (2015). Computational similarities between visual and auditory cortex studied with convolutional neural networks, fMRI, and electrophysiology. Journal of Vision. 15(12). 1093–1093. 4 indexed citations

13.

Kell, Alexander J.E., Kami Koldewyn, & Nancy Kanwisher. (2013). The Functional Organization of the Ventral Visual Pathway in Adults with Autism. Journal of Vision. 13(9). 832–832. 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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