Nicholas Baker

986 total citations
29 papers, 609 citations indexed

About

Nicholas Baker is a scholar working on Genetics, Cognitive Neuroscience and Insect Science. According to data from OpenAlex, Nicholas Baker has authored 29 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 10 papers in Cognitive Neuroscience and 9 papers in Insect Science. Recurrent topics in Nicholas Baker's work include Insect and Arachnid Ecology and Behavior (11 papers), Visual perception and processing mechanisms (9 papers) and Insect and Pesticide Research (9 papers). Nicholas Baker is often cited by papers focused on Insect and Arachnid Ecology and Behavior (11 papers), Visual perception and processing mechanisms (9 papers) and Insect and Pesticide Research (9 papers). Nicholas Baker collaborates with scholars based in United States, Norway and Australia. Nicholas Baker's co-authors include Philip J. Kellman, Gro V. Amdam, Gennady Erlikhman, Hongjing Lu, Ricarda Scheiner, Kate E. Ihle, Florian Wolschin, James H. Elder, Ying Wang and Brenda Rascón and has published in prestigious journals such as PLoS ONE, ACS Applied Materials & Interfaces and Journal of Experimental Psychology Human Perception & Performance.

In The Last Decade

Nicholas Baker

27 papers receiving 595 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas Baker United States 12 218 205 170 162 141 29 609
John R. Stowers New Zealand 8 82 0.4× 14 0.1× 147 0.9× 73 0.5× 103 0.7× 10 487
Daniel M. Choi United States 4 70 0.3× 26 0.1× 103 0.6× 78 0.5× 18 0.1× 4 371
Jan Wessnitzer United Kingdom 11 146 0.7× 74 0.4× 137 0.8× 76 0.5× 7 0.0× 13 382
Barbara Michel Switzerland 4 307 1.4× 37 0.2× 319 1.9× 103 0.6× 38 0.3× 8 673
Srinivas Gorur-Shandilya United States 11 145 0.7× 145 0.7× 90 0.5× 122 0.8× 7 0.0× 12 576
Elischa Sanders United States 4 58 0.3× 90 0.4× 118 0.7× 35 0.2× 42 0.3× 4 302
Dimitrios Lambrinos Switzerland 8 127 0.6× 22 0.1× 117 0.7× 95 0.6× 206 1.5× 19 701
Fei Peng China 11 112 0.5× 43 0.2× 112 0.7× 34 0.2× 15 0.1× 56 487
Marcus Dill Germany 7 84 0.4× 21 0.1× 106 0.6× 150 0.9× 42 0.3× 10 329
Hemal Naik Germany 7 56 0.3× 13 0.1× 91 0.5× 65 0.4× 134 1.0× 12 451

Countries citing papers authored by Nicholas Baker

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Baker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Baker

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

All Works

20 of 20 papers shown
1.
Baker, Nicholas, et al.. (2024). Is object-based warping solely object-based?. Journal of Experimental Psychology Human Perception & Performance. 50(6). 605–625.
2.
Baker, Nicholas, et al.. (2023). Configural relations in humans and deep convolutional neural networks. Frontiers in Artificial Intelligence. 5. 961595–961595. 1 indexed citations
3.
Baker, Nicholas & Philip J. Kellman. (2023). Independent mechanisms for processing local contour features and global shape.. Journal of Experimental Psychology General. 152(5). 1502–1526. 3 indexed citations
4.
Baker, Nicholas & James H. Elder. (2022). Deep learning models fail to capture the configural nature of human shape perception. iScience. 25(9). 104913–104913. 19 indexed citations
5.
Baker, Nicholas & Philip J. Kellman. (2021). Constant curvature modeling of abstract shape representation. PLoS ONE. 16(8). e0254719–e0254719. 3 indexed citations
6.
Baker, Nicholas, Hongjing Lu, Gennady Erlikhman, & Philip J. Kellman. (2020). Local features and global shape information in object classification by deep convolutional neural networks. Vision Research. 172. 46–61. 48 indexed citations
7.
Baker, Nicholas, Patrick Garrigan, & Philip J. Kellman. (2020). Constant curvature segments as building blocks of 2D shape representation.. Journal of Experimental Psychology General. 150(8). 1556–1580. 11 indexed citations
8.
Baker, Nicholas, Gennady Erlikhman, Philip J. Kellman, & Hongjing Lu. (2018). Deep Convolutional Networks do not Perceive Illusory Contours.. Cognitive Science. 11 indexed citations
9.
Baker, Nicholas & Philip J. Kellman. (2018). Abstract shape representation in human visual perception.. Journal of Experimental Psychology General. 147(9). 1295–1308. 24 indexed citations
10.
Baker, Nicholas, Hongjing Lu, Gennady Erlikhman, & Philip J. Kellman. (2018). Deep convolutional networks do not classify based on global object shape. PLoS Computational Biology. 14(12). e1006613–e1006613. 196 indexed citations
11.
Baker, Nicholas, Hongjing Lu, Gennady Erlikhman, & Philip J. Kellman. (2018). Deep Convolutional Networks do not Make Classifications Based on Global Object Shape. Journal of Vision. 18(10). 904–904. 2 indexed citations
12.
Brown, Carl W., Nicholas Baker, Andrew P. Shreve, et al.. (2017). A Microsphere-Supported Lipid Bilayer Platform for DNA Reactions on a Fluid Surface. ACS Applied Materials & Interfaces. 9(35). 30185–30195. 5 indexed citations
13.
Brown, Carl W., et al.. (2015). A Unified Sensor Architecture for Isothermal Detection of Double‐Stranded DNA, Oligonucleotides, and Small Molecules. ChemBioChem. 16(5). 725–730. 4 indexed citations
14.
Ihle, Kate E., Nicholas Baker, & Gro V. Amdam. (2014). Insulin-like peptide response to nutritional input in honey bee workers. Journal of Insect Physiology. 69. 49–55. 43 indexed citations
15.
Wang, Ying, Nicholas Baker, & Gro V. Amdam. (2013). RNAi-mediated Double Gene Knockdown and Gustatory Perception Measurement in Honey Bees (<em>Apis mellifera</em>). Journal of Visualized Experiments. 18 indexed citations
16.
Münch, Daniel, et al.. (2013). Obtaining Specimens with Slowed, Accelerated and Reversed Aging in the Honey Bee Model. Journal of Visualized Experiments. 13 indexed citations
17.
18.
Amdam, Gro V., et al.. (2010). Honeybee Associative Learning Performance and Metabolic Stress Resilience Are Positively Associated. PLoS ONE. 5(3). e9740–e9740. 18 indexed citations
19.
Scheiner, Ricarda, et al.. (2007). Cognitive aging is linked to social role in honey bees (Apis mellifera). Experimental Gerontology. 42(12). 1146–1153. 96 indexed citations
20.
Johnson, Brian R. & Nicholas Baker. (2007). Adaptive spatial biases in nectar deposition in the nests of honey bees. Insectes Sociaux. 54(4). 351–355. 6 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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