Christopher S. Furmanski

1.9k total citations · 1 hit paper
7 papers, 1.4k citations indexed

About

Christopher S. Furmanski is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Christopher S. Furmanski has authored 7 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 3 papers in Cellular and Molecular Neuroscience and 1 paper in Atomic and Molecular Physics, and Optics. Recurrent topics in Christopher S. Furmanski's work include Neural dynamics and brain function (5 papers), Visual perception and processing mechanisms (5 papers) and Neurobiology and Insect Physiology Research (2 papers). Christopher S. Furmanski is often cited by papers focused on Neural dynamics and brain function (5 papers), Visual perception and processing mechanisms (5 papers) and Neurobiology and Insect Physiology Research (2 papers). Christopher S. Furmanski collaborates with scholars based in United States. Christopher S. Furmanski's co-authors include Stephen A. Engel, Barbara J. Knowlton, Susan Y. Bookheimer and Denis Schluppeck and has published in prestigious journals such as Journal of Neuroscience, Nature Neuroscience and Current Biology.

In The Last Decade

Christopher S. Furmanski

6 papers receiving 1.4k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Remembering episodes: a selective role for the hippocampus during retrieval

2000 698 citations Barbara J. Knowlton, Christopher S. Furmanski et al. Nature Neuroscience profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher S. Furmanski United States	5	1.3k	260	126	122	111	7	1.4k
Bhavin R. Sheth United States	19	1.2k 0.9×	325 1.3×	136 1.1×	221 1.8×	49 0.4×	42	1.3k
Hendrik Peuskens Belgium	14	968 0.8×	142 0.5×	259 2.1×	153 1.3×	62 0.6×	26	1.3k
P. Christiaan Klink Netherlands	15	1.2k 0.9×	208 0.8×	126 1.0×	183 1.5×	34 0.3×	29	1.3k
Clara Casco Italy	21	1.2k 0.9×	110 0.4×	164 1.3×	290 2.4×	198 1.8×	77	1.4k
José E. Náñez United States	13	1.3k 1.0×	188 0.7×	74 0.6×	234 1.9×	82 0.7×	20	1.5k
Deborah Giaschi Canada	30	2.0k 1.6×	181 0.7×	105 0.8×	127 1.0×	310 2.8×	95	2.3k
И. Н. Пигарев Russia	16	1.2k 0.9×	229 0.9×	113 0.9×	190 1.6×	42 0.4×	52	1.3k
Maarten J. van der Smagt Netherlands	20	806 0.6×	82 0.3×	131 1.0×	250 2.0×	68 0.6×	72	1.1k
R B Tootell United States	8	1.9k 1.5×	178 0.7×	159 1.3×	272 2.2×	55 0.5×	10	2.0k
Jeremy R. Manning United States	13	1.1k 0.8×	325 1.3×	81 0.6×	114 0.9×	61 0.5×	29	1.2k

Countries citing papers authored by Christopher S. Furmanski

Since Specialization

Citations

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

Fields of papers citing papers by Christopher S. Furmanski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher S. Furmanski. 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 Christopher S. Furmanski. The network helps show where Christopher S. Furmanski may publish in the future.

Co-authorship network of co-authors of Christopher S. Furmanski

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

All Works

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7 of 7 papers shown

1.

Furmanski, Christopher S. & Stephen A. Engel. (2010). Perceptual learning in human primary visual cortex. Journal of Vision. 2(7). 75–75.

2.

Furmanski, Christopher S., Denis Schluppeck, & Stephen A. Engel. (2004). Learning Strengthens the Response of Primary Visual Cortex to Simple Patterns. Current Biology. 14(7). 573–578. 208 indexed citations

3.

Engel, Stephen A. & Christopher S. Furmanski. (2001). Selective Adaptation to Color Contrast in Human Primary Visual Cortex. Journal of Neuroscience. 21(11). 3949–3954. 80 indexed citations

4.

Furmanski, Christopher S. & Stephen A. Engel. (2000). Perceptual learning in object recognition: object specificity and size invariance. Vision Research. 40(5). 473–484. 116 indexed citations

5.

Knowlton, Barbara J., et al.. (2000). Remembering episodes: a selective role for the hippocampus during retrieval. Nature Neuroscience. 3(11). 1149–1152. 698 indexed citations breakdown →

6.

Furmanski, Christopher S. & Stephen A. Engel. (2000). An oblique effect in human primary visual cortex. Nature Neuroscience. 3(6). 535–536. 279 indexed citations

7.

Engel, Stephen A. & Christopher S. Furmanski. (1997). Neural activity in human lateral geniculate nucleu's measured with functional MRI. 38(4). 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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