Jeff Hawkins

46 total papers · 3.4k total citations
19 papers, 1.6k citations indexed

About

Jeff Hawkins is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jeff Hawkins has authored 19 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 9 papers in Artificial Intelligence and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jeff Hawkins's work include Neural dynamics and brain function (10 papers), Neural Networks and Applications (8 papers) and Visual perception and processing mechanisms (4 papers). Jeff Hawkins is often cited by papers focused on Neural dynamics and brain function (10 papers), Neural Networks and Applications (8 papers) and Visual perception and processing mechanisms (4 papers). Jeff Hawkins collaborates with scholars based in United States, Italy and China. Jeff Hawkins's co-authors include Sandra Blakeslee, Dileep George, Subutai Ahmad, Yuwei Cui, Jarrod Mosier, Frank G. Walter, Peter B. Chase and Barry K. Logan and has published in prestigious journals such as Philosophical Transactions of the Royal Society B Biological Sciences, Artificial Intelligence and PLoS Computational Biology.

In The Last Decade

Jeff Hawkins

18 papers receiving 1.4k citations

Hit Papers

On Intelligence 2004 2026 2011 2018 2004 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Jeff Hawkins 741 634 322 204 161 19 1.6k
Greg Wayne 490 0.7× 809 1.3× 298 0.9× 340 1.7× 121 0.8× 16 1.7k
H. Sebastian Seung 777 1.0× 1.1k 1.7× 280 0.9× 188 0.9× 318 2.0× 23 2.2k
Abraham J. Wyner 317 0.4× 775 1.2× 198 0.6× 173 0.8× 136 0.8× 46 1.9k
Péter Földiák 1.6k 2.1× 676 1.1× 222 0.7× 349 1.7× 354 2.2× 29 2.2k
Mannes Poel 637 0.9× 346 0.5× 151 0.5× 213 1.0× 160 1.0× 96 1.5k
Gordon Stoll 303 0.4× 588 0.9× 157 0.5× 413 2.0× 39 0.2× 15 2.0k
Ralph Linsker 681 0.9× 977 1.5× 251 0.8× 378 1.9× 161 1.0× 26 2.0k
Francisco Pelayo 751 1.0× 312 0.5× 416 1.3× 287 1.4× 435 2.7× 79 1.8k
Günther Palm 1.0k 1.4× 705 1.1× 270 0.8× 264 1.3× 390 2.4× 117 2.2k
Jyh‐Yeong Chang 413 0.6× 567 0.9× 199 0.6× 290 1.4× 204 1.3× 55 1.4k

Countries citing papers authored by Jeff Hawkins

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Hawkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Hawkins

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Hawkins. A scholar is included among the top collaborators of Jeff Hawkins 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 Jeff Hawkins. Jeff Hawkins 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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