Tomaso Poggio

888 total citations
8 papers, 571 citations indexed

About

Tomaso Poggio is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tomaso Poggio has authored 8 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 3 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tomaso Poggio's work include Neural dynamics and brain function (3 papers), Neural Networks and Applications (3 papers) and Face Recognition and Perception (2 papers). Tomaso Poggio is often cited by papers focused on Neural dynamics and brain function (3 papers), Neural Networks and Applications (3 papers) and Face Recognition and Perception (2 papers). Tomaso Poggio collaborates with scholars based in United States, Italy and Singapore. Tomaso Poggio's co-authors include Maximilian Riesenhuber, Alan Yuille, T. Serre, Fabio Anselmi, Lorenzo Rosasco, Cheston Tan, Pouya Bashivan, James J. DiCarlo, Xavier Boix and Martin Schrimpf and has published in prestigious journals such as Nature Neuroscience, PLoS ONE and Frontiers in Systems Neuroscience.

In The Last Decade

Tomaso Poggio

7 papers receiving 537 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tomaso Poggio United States	5	371	208	59	54	42	8	571
Neal Davis United States	3	418 1.1×	482 2.3×	53 0.9×	36 0.7×	26 0.6×	6	794
Sean M. Culhane Canada	3	426 1.1×	506 2.4×	56 0.9×	36 0.7×	26 0.6×	4	800
Nestor Matthews United States	15	411 1.1×	193 0.9×	30 0.5×	73 1.4×	67 1.6×	33	686
Wolf Kienzle United States	12	263 0.7×	377 1.8×	58 1.0×	30 0.6×	34 0.8×	18	693
A. Dobbins United States	11	568 1.5×	158 0.8×	32 0.5×	45 0.8×	87 2.1×	18	701
L. Itti United States	5	446 1.2×	387 1.9×	15 0.3×	41 0.8×	39 0.9×	10	720
Andrew J. Schofield United Kingdom	16	612 1.6×	186 0.9×	43 0.7×	75 1.4×	51 1.2×	54	767
Yaoru Sun China	10	182 0.5×	247 1.2×	41 0.7×	14 0.3×	29 0.7×	34	459
Minjoon Kouh United States	9	507 1.4×	216 1.0×	71 1.2×	14 0.3×	63 1.5×	20	681
Michael D. Howard United States	9	186 0.5×	125 0.6×	82 1.4×	26 0.5×	78 1.9×	23	585

Countries citing papers authored by Tomaso Poggio

Since Specialization

Citations

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

Fields of papers citing papers by Tomaso Poggio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomaso Poggio

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

All Works

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8 of 8 papers shown

1.

Schrimpf, Martin, Pouya Bashivan, Kohitij Kar, et al.. (2018). Single units in a deep neural network functionally correspond with neurons in the brain: preliminary results. DSpace@MIT (Massachusetts Institute of Technology). 4 indexed citations

2.

Anselmi, Fabio, Lorenzo Rosasco, & Tomaso Poggio. (2016). On invariance and selectivity in representation learning. Information and Inference A Journal of the IMA. 5(2). 134–158. 27 indexed citations

3.

Tan, Cheston & Tomaso Poggio. (2016). Neural Tuning Size in a Model of Primate Visual Processing Accounts for Three Key Markers of Holistic Face Processing. PLoS ONE. 11(3). e0150980–e0150980. 8 indexed citations

4.

Poggio, Tomaso & T. Serre. (2013). Models of visual cortex. Scholarpedia. 8(4). 3516–3516. 24 indexed citations

5.

Poggio, Tomaso. (2009). Decoding dynamic patterns of neural activity using a biologically plausible fixed set of weights. Frontiers in Systems Neuroscience. 3. 2 indexed citations

6.

Poggio, Tomaso. (2001). Input/Output Hidden Markov Models for Modeling Stock Order Flows.

7.

Riesenhuber, Maximilian & Tomaso Poggio. (2000). Models of object recognition. Nature Neuroscience. 3(S11). 1199–1204. 445 indexed citations

8.

Yuille, Alan & Tomaso Poggio. (1984). A generalized ordering constraint for stereo correspondence. DSpace@MIT (Massachusetts Institute of Technology). 85. 19390. 61 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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