Adam M. Larson

77 total papers · 1.3k total citations
44 papers, 934 citations indexed

About

Adam M. Larson is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Adam M. Larson has authored 44 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 17 papers in Cognitive Neuroscience and 13 papers in Experimental and Cognitive Psychology. Recurrent topics in Adam M. Larson's work include Visual Attention and Saliency Detection (16 papers), Visual perception and processing mechanisms (13 papers) and Visual and Cognitive Learning Processes (11 papers). Adam M. Larson is often cited by papers focused on Visual Attention and Saliency Detection (16 papers), Visual perception and processing mechanisms (13 papers) and Visual and Cognitive Learning Processes (11 papers). Adam M. Larson collaborates with scholars based in United States, United Kingdom and Germany. Adam M. Larson's co-authors include Lester C. Loschky, Tim J. Smith, Joseph P. Magliano, Alvin T. Yeh, N. Sanjay Rebello, Adrian Madsen, Joseph P. Magliano, Steve Pekarek, Michelle Bash and Jin Hu and has published in prestigious journals such as PLoS ONE, Nature Photonics and Biological Psychiatry.

In The Last Decade

Adam M. Larson

42 papers receiving 901 citations

Author Peers

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

Author						Papers	Cites
Adam M. Larson	381	243	222	106	106	44	934
Patrick A. O’Connor	327 0.9×	85 0.3×	183 0.8×	19 0.2×	335 3.2×	39	817
Tino Lourens	375 1.0×	140 0.6×	53 0.2×	52 0.5×	84 0.8×	33	799
Oussama Metatla	322 0.8×	112 0.5×	104 0.5×	339 3.2×	39 0.4×	63	800
Kai-Min Chang	737 1.9×	106 0.4×	110 0.5×	29 0.3×	102 1.0×	20	1.2k
Jing Li	283 0.7×	429 1.8×	146 0.7×	111 1.0×	14 0.1×	66	1.1k
Robert H. Cormack	596 1.6×	124 0.5×	96 0.4×	37 0.3×	19 0.2×	38	980
Laura E. Matzen	587 1.5×	152 0.6×	171 0.8×	66 0.6×	77 0.7×	35	991
Hyun Wook Park	332 0.9×	512 2.1×	64 0.3×	63 0.6×	52 0.5×	72	1.1k
Yoav Cohen	614 1.6×	144 0.6×	133 0.6×	55 0.5×	83 0.8×	25	970
Toshimitsu Takahashi	454 1.2×	30 0.1×	96 0.4×	75 0.7×	33 0.3×	48	1.0k

Countries citing papers authored by Adam M. Larson

Since Specialization

Citations

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

Fields of papers citing papers by Adam M. Larson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adam M. Larson. 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 Adam M. Larson. The network helps show where Adam M. Larson may publish in the future.

Co-authorship network of co-authors of Adam M. Larson

This figure shows the co-authorship network connecting the top 25 collaborators of Adam M. Larson. A scholar is included among the top collaborators of Adam M. Larson 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 Adam M. Larson. Adam M. Larson 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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