Ben Engelhard

1.2k total citations · 1 hit paper
10 papers, 593 citations indexed

About

Ben Engelhard is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Ben Engelhard has authored 10 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 9 papers in Cellular and Molecular Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Ben Engelhard's work include Neural dynamics and brain function (10 papers), Neuroscience and Neuropharmacology Research (3 papers) and Receptor Mechanisms and Signaling (3 papers). Ben Engelhard is often cited by papers focused on Neural dynamics and brain function (10 papers), Neuroscience and Neuropharmacology Research (3 papers) and Receptor Mechanisms and Signaling (3 papers). Ben Engelhard collaborates with scholars based in United States and Israel. Ben Engelhard's co-authors include Ilana B. Witten, Stephan Y. Thiberge, Julia Cox, Nathaniel D. Daw, David W. Tank, Sue Ann Koay, Weston Fleming, Sharon Ornelas, Joel Finkelstein and Hee Jae Jang and has published in prestigious journals such as Nature, Neuron and Nature Neuroscience.

In The Last Decade

Ben Engelhard

9 papers receiving 589 citations

Hit Papers

Specialized coding of sensory, motor and cognitive variab... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ben Engelhard United States 8 446 345 138 33 30 10 593
Justin K. O’Hare United States 9 460 1.0× 407 1.2× 129 0.9× 55 1.7× 38 1.3× 11 686
Weston Fleming United States 7 303 0.7× 287 0.8× 146 1.1× 31 0.9× 19 0.6× 10 461
Babak Tahvildari Canada 9 472 1.1× 459 1.3× 110 0.8× 42 1.3× 28 0.9× 9 603
Lung-Hao Tai United States 6 511 1.1× 400 1.2× 126 0.9× 60 1.8× 80 2.7× 9 735
Marie Vandecasteele France 11 386 0.9× 498 1.4× 156 1.1× 29 0.9× 58 1.9× 14 631
Tom Macpherson Japan 11 258 0.6× 226 0.7× 123 0.9× 43 1.3× 37 1.2× 21 512
Rajeev Rikhye United States 9 379 0.8× 193 0.6× 94 0.7× 26 0.8× 17 0.6× 15 556
Evan G. Antzoulatos United States 12 393 0.9× 242 0.7× 73 0.5× 39 1.2× 29 1.0× 15 595
Omar J. Ahmed United States 15 741 1.7× 656 1.9× 68 0.5× 20 0.6× 36 1.2× 33 931
Sharon Ornelas United States 5 248 0.6× 237 0.7× 139 1.0× 18 0.5× 29 1.0× 5 447

Countries citing papers authored by Ben Engelhard

Since Specialization
Citations

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

Fields of papers citing papers by Ben Engelhard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Engelhard

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

All Works

10 of 10 papers shown
1.
Engelhard, Ben, et al.. (2024). Small animal brain surgery with neither a brain atlas nor a stereotaxic frame. Journal of Neuroscience Methods. 411. 110272–110272.
2.
Lee, Rachel S., et al.. (2024). A feature-specific prediction error model explains dopaminergic heterogeneity. Nature Neuroscience. 27(8). 1574–1586. 26 indexed citations
3.
Willmore, Lindsay, Ben Engelhard, Malavika Murugan, et al.. (2023). Overlapping representations of food and social stimuli in mouse VTA dopamine neurons. Neuron. 111(22). 3541–3553.e8. 25 indexed citations
4.
Bolkan, Scott S., Iris R. Stone, Lucas Pinto, et al.. (2022). Opponent control of behavior by dorsomedial striatal pathways depends on task demands and internal state. Nature Neuroscience. 25(3). 345–357. 42 indexed citations
5.
Parker, Nathan F., Julia Cox, Laura M. Haetzel, et al.. (2022). Choice-selective sequences dominate in cortical relative to thalamic inputs to NAc to support reinforcement learning. Cell Reports. 39(7). 110756–110756. 26 indexed citations
6.
Fleming, Weston, Sean Jewell, Ben Engelhard, Daniela Witten, & Ilana B. Witten. (2021). Inferring spikes from calcium imaging in dopamine neurons. PLoS ONE. 16(6). e0252345–e0252345. 18 indexed citations
7.
Engelhard, Ben, Joel Finkelstein, Julia Cox, et al.. (2019). Specialized coding of sensory, motor and cognitive variables in VTA dopamine neurons. Nature. 570(7762). 509–513. 312 indexed citations breakdown →
8.
Pinto, Lucas, Sue Ann Koay, Ben Engelhard, et al.. (2018). An Accumulation-of-Evidence Task Using Visual Pulses for Mice Navigating in Virtual Reality. Frontiers in Behavioral Neuroscience. 12. 36–36. 54 indexed citations
9.
Engelhard, Ben & Eilon Vaadia. (2014). Spatial computation with gamma oscillations. Frontiers in Systems Neuroscience. 8. 165–165. 2 indexed citations
10.
Engelhard, Ben, et al.. (2013). Inducing Gamma Oscillations and Precise Spike Synchrony by Operant Conditioning via Brain-Machine Interface. Neuron. 77(2). 361–375. 88 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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