Ian Nauhaus

3.3k total citations
22 papers, 2.0k citations indexed

About

Ian Nauhaus is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Ian Nauhaus has authored 22 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 17 papers in Cellular and Molecular Neuroscience and 6 papers in Molecular Biology. Recurrent topics in Ian Nauhaus's work include Neural dynamics and brain function (20 papers), Visual perception and processing mechanisms (17 papers) and Neurobiology and Insect Physiology Research (6 papers). Ian Nauhaus is often cited by papers focused on Neural dynamics and brain function (20 papers), Visual perception and processing mechanisms (17 papers) and Neurobiology and Insect Physiology Research (6 papers). Ian Nauhaus collaborates with scholars based in United States, United Kingdom and Germany. Ian Nauhaus's co-authors include Edward M. Callaway, Matteo Carandini, Dario L. Ringach, James H. Marshel, Marina Garrett, Andrea Benucci, Laura Busse, Vincent Bonin, Steffen Katzner and Kristina J. Nielsen and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Ian Nauhaus

22 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ian Nauhaus United States 17 1.9k 1.2k 344 120 106 22 2.0k
Eyal Seidemann United States 20 1.6k 0.9× 746 0.6× 250 0.7× 99 0.8× 127 1.2× 34 1.9k
Andrea Benucci United Kingdom 14 1.3k 0.7× 1.1k 0.9× 444 1.3× 98 0.8× 74 0.7× 28 1.8k
Zoltán F. Kisvárday Hungary 27 2.1k 1.1× 1.7k 1.4× 362 1.1× 202 1.7× 49 0.5× 48 2.5k
Diego A. Gutnisky United States 14 1.8k 0.9× 1.3k 1.1× 191 0.6× 79 0.7× 129 1.2× 22 2.1k
Arthur R. Houweling Netherlands 14 1.3k 0.7× 1.1k 0.9× 162 0.5× 163 1.4× 98 0.9× 21 1.6k
A. B. Bonds United States 29 2.6k 1.4× 1.4k 1.2× 473 1.4× 152 1.3× 73 0.7× 69 2.9k
Jason N. MacLean United States 22 1.1k 0.6× 985 0.8× 213 0.6× 146 1.2× 57 0.5× 47 1.6k
Vladimir Itskov United States 13 1.4k 0.8× 970 0.8× 121 0.4× 122 1.0× 65 0.6× 21 1.8k
Helen Jones United Kingdom 17 1.5k 0.8× 742 0.6× 413 1.2× 66 0.6× 59 0.6× 28 1.9k
William H. Bosking United States 18 1.8k 1.0× 966 0.8× 261 0.8× 176 1.5× 35 0.3× 28 2.0k

Countries citing papers authored by Ian Nauhaus

Since Specialization
Citations

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

Fields of papers citing papers by Ian Nauhaus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Nauhaus

This figure shows the co-authorship network connecting the top 25 collaborators of Ian Nauhaus. A scholar is included among the top collaborators of Ian Nauhaus 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 Ian Nauhaus. Ian Nauhaus 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.
Nauhaus, Ian, et al.. (2025). Luminance invariant encoding in mouse primary visual cortex. Cell Reports. 44(1). 115217–115217. 1 indexed citations
2.
Rhim, Issac & Ian Nauhaus. (2023). Joint representations of color and form in mouse visual cortex described by random pooling from rods and cones. Journal of Neurophysiology. 129(3). 619–634. 4 indexed citations
3.
Hénaff, Olivier J., et al.. (2021). Primary visual cortex straightens natural video trajectories. Nature Communications. 12(1). 5982–5982. 17 indexed citations
4.
Rhim, Issac, et al.. (2021). Variations in photoreceptor throughput to mouse visual cortex and the unique effects on tuning. Scientific Reports. 11(1). 11937–11937. 6 indexed citations
5.
Ko, Hee‐kyoung, et al.. (2020). Uniform spatial pooling explains topographic organization and deviation from receptive-field scale invariance in primate V1. Nature Communications. 11(1). 6390–6390. 5 indexed citations
6.
Nauhaus, Ian & Susan Lord. (2020). Know Your Lab Stuff: Laboratory Proficiency Exam For An Introductory Circuits Class. Papers on Engineering Education Repository (American Society for Engineering Education). 7.782.1–7.782.7. 1 indexed citations
7.
Juavinett, Ashley, Ian Nauhaus, Marina Garrett, Jun Zhuang, & Edward M. Callaway. (2016). Automated identification of mouse visual areas with intrinsic signal imaging. Nature Protocols. 12(1). 32–43. 59 indexed citations
8.
Nauhaus, Ian, Kristina J. Nielsen, & Edward M. Callaway. (2016). Efficient Receptive Field Tiling in Primate V1. Neuron. 91(4). 893–904. 50 indexed citations
9.
Garrett, Marina, Ian Nauhaus, James H. Marshel, & Edward M. Callaway. (2014). Topography and Areal Organization of Mouse Visual Cortex. Journal of Neuroscience. 34(37). 12587–12600. 199 indexed citations
10.
Nienborg, Hendrikje, Andrea R. Hasenstaub, Ian Nauhaus, et al.. (2013). Contrast Dependence and Differential Contributions from Somatostatin- and Parvalbumin-Expressing Neurons to Spatial Integration in Mouse V1. Journal of Neuroscience. 33(27). 11145–11154. 64 indexed citations
11.
Nauhaus, Ian & Kristina J. Nielsen. (2013). Building maps from maps in primary visual cortex. Current Opinion in Neurobiology. 24(1). 1–6. 20 indexed citations
12.
Nauhaus, Ian, Kristina J. Nielsen, Anita A. Disney, & Edward M. Callaway. (2012). Orthogonal micro-organization of orientation and spatial frequency in primate primary visual cortex. Nature Neuroscience. 15(12). 1683–1690. 111 indexed citations
13.
Sato, Tatsuo K., Ian Nauhaus, & Matteo Carandini. (2012). Traveling Waves in Visual Cortex. Neuron. 75(2). 218–229. 169 indexed citations
14.
Marshel, James H., Alfred P. Kaye, Ian Nauhaus, & Edward M. Callaway. (2012). Anterior-Posterior Direction Opponency in the Superficial Mouse Lateral Geniculate Nucleus. Neuron. 76(4). 713–720. 128 indexed citations
15.
Nauhaus, Ian, Laura Busse, Dario L. Ringach, & Matteo Carandini. (2012). Robustness of Traveling Waves in Ongoing Activity of Visual Cortex. Journal of Neuroscience. 32(9). 3088–3094. 46 indexed citations
16.
Marshel, James H., Marina Garrett, Ian Nauhaus, & Edward M. Callaway. (2011). Functional Specialization of Seven Mouse Visual Cortical Areas. Neuron. 72(6). 1040–1054. 312 indexed citations
17.
Katzner, Steffen, Ian Nauhaus, Andrea Benucci, et al.. (2009). Local Origin of Field Potentials in Visual Cortex. Neuron. 61(1). 35–41. 404 indexed citations
18.
Nauhaus, Ian, Andrea Benucci, Matteo Carandini, & Dario L. Ringach. (2008). Neuronal Selectivity and Local Map Structure in Visual Cortex. Neuron. 57(5). 673–679. 90 indexed citations
19.
Nauhaus, Ian, Laura Busse, Matteo Carandini, & Dario L. Ringach. (2008). Stimulus contrast modulates functional connectivity in visual cortex. Nature Neuroscience. 12(1). 70–76. 260 indexed citations
20.
Nauhaus, Ian & Dario L. Ringach. (2007). Precise Alignment of Micromachined Electrode Arrays With V1 Functional Maps. Journal of Neurophysiology. 97(5). 3781–3789. 17 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026