Alexander J.E. Kell

18 total papers · 1.1k total citations
13 papers, 502 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 502 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 Sweden. Alexander J.E. Kell's co-authors include Josh H. McDermott, Sam Norman-Haignere, Daniel Yamins, Nancy Kanwisher, Katharina Dobs, Olessia Jouravlev, Evelina Fedorenko, 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 495 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Alexander J.E. Kell	433	68	65	64	63	13	502
Trevor Agus	451 1.0×	114 1.7×	146 2.2×	18 0.3×	25 0.4×	25	517
J.F. Schouten	424 1.0×	89 1.3×	75 1.2×	40 0.6×	38 0.6×	7	538
Jintao Jiang	303 0.7×	132 1.9×	327 5.0×	68 1.1×	42 0.7×	34	556
Joseph Sirosh	308 0.7×	54 0.8×	100 1.5×	50 0.8×	188 3.0×	17	505
Nicolas Barascud	461 1.1×	56 0.8×	144 2.2×	12 0.2×	16 0.3×	9	490
Kenneth M. Steele	278 0.6×	65 1.0×	72 1.1×	18 0.3×	12 0.2×	21	512
Cheng Luo	395 0.9×	82 1.2×	125 1.9×	9 0.1×	31 0.5×	21	487
Eve Wilson	443 1.0×	20 0.3×	171 2.6×	9 0.1×	28 0.4×	28	545
Kat Agres	242 0.6×	180 2.6×	99 1.5×	97 1.5×	96 1.5×	33	457
Beste F. Yuksel	374 0.9×	32 0.5×	56 0.9×	97 1.5×	73 1.2×	19	606

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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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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