Robert J. Schafer

1.7k total citations
32 papers, 1.1k citations indexed

About

Robert J. Schafer is a scholar working on Cognitive Neuroscience, Molecular Biology and Experimental and Cognitive Psychology. According to data from OpenAlex, Robert J. Schafer has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 8 papers in Molecular Biology and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Robert J. Schafer's work include Neural dynamics and brain function (8 papers), Cognitive Abilities and Testing (5 papers) and Pesticide Exposure and Toxicity (5 papers). Robert J. Schafer is often cited by papers focused on Neural dynamics and brain function (8 papers), Cognitive Abilities and Testing (5 papers) and Pesticide Exposure and Toxicity (5 papers). Robert J. Schafer collaborates with scholars based in United States, Germany and France. Robert J. Schafer's co-authors include Tirin Moore, Robert Desimone, Huihui Zhou, Behrad Noudoost, Carmen M. Arroyo, Clarence A. Broomfield, Oksana Sirenko, Jay T. Groves, Susan Holmes and Deborah M. Gordon and has published in prestigious journals such as Science, Journal of the American Chemical Society and Neuron.

In The Last Decade

Robert J. Schafer

31 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert J. Schafer United States	15	687	214	153	87	73	32	1.1k
Hiroko Hagiwara Japan	24	498 0.7×	454 2.1×	172 1.1×	75 0.9×	135 1.8×	87	1.6k
Elizabeth C. McDonald United States	15	248 0.4×	250 1.2×	249 1.6×	40 0.5×	160 2.2×	27	958
Tilo Buschmann Germany	10	508 0.7×	234 1.1×	117 0.8×	13 0.1×	133 1.8×	13	1.2k
David J. Anderson United States	11	300 0.4×	376 1.8×	436 2.8×	40 0.5×	74 1.0×	17	1.3k
Robert A. A. Campbell United States	19	316 0.5×	188 0.9×	407 2.7×	19 0.2×	63 0.9×	36	1.1k
Stephanie Westendorff Germany	12	475 0.7×	99 0.5×	132 0.9×	37 0.4×	34 0.5×	21	841
Brad K. Hulse United States	10	691 1.0×	275 1.3×	779 5.1×	35 0.4×	126 1.7×	12	1.4k
Daan R. van der Veen United Kingdom	19	227 0.3×	154 0.7×	174 1.1×	57 0.7×	265 3.6×	45	1.3k
Gabriel Castillo Argentina	18	340 0.5×	228 1.1×	73 0.5×	265 3.0×	156 2.1×	57	1.1k

Countries citing papers authored by Robert J. Schafer

Since Specialization

Citations

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

Fields of papers citing papers by Robert J. Schafer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert J. Schafer. 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 Robert J. Schafer. The network helps show where Robert J. Schafer may publish in the future.

Co-authorship network of co-authors of Robert J. Schafer

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

All Works

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20 of 20 papers shown

Osman, Allen, Kevin P. Madore, Emanuela Offidani, et al.. (2025). Real-world effectiveness of a widely available digital health program in adults reporting a lifetime diagnosis of ADHD. PubMed. 4(1). 38–38.

Rakhshan, Mohsen, Robert J. Schafer, Tirin Moore, & Alireza Soltani. (2024). Neural Mechanisms Underlying Robust Target Selection in Response to Microstimulation of the Oculomotor System. Journal of Neuroscience. 45(3). e2356232024–e2356232024. 1 indexed citations

Poldrack, Russell A., et al.. (2023). Modelling human behaviour in cognitive tasks with latent dynamical systems. Nature Human Behaviour. 7(6). 986–1000. 12 indexed citations

Osman, Allen, et al.. (2023). Transfer of learning: Analysis of dose-response functions from a large-scale, online, cognitive training dataset. PLoS ONE. 18(5). e0281095–e0281095. 2 indexed citations

Schafer, Robert J., et al.. (2022). A massive dataset of the NeuroCognitive Performance Test, a web-based cognitive assessment. Scientific Data. 9(1). 758–758. 7 indexed citations

Osman, Allen, et al.. (2021). Computerized Cognitive Training by Healthy Older and Younger Adults: Age Comparisons of Overall Efficacy and Selective Effects on Cognition. Frontiers in Neurology. 11. 564317–564317. 9 indexed citations

Soltani, Alireza, Mohsen Rakhshan, Robert J. Schafer, Brittany E. Burrows, & Tirin Moore. (2020). Separable Influences of Reward on Visual Processing and Choice. Journal of Cognitive Neuroscience. 33(2). 248–262. 9 indexed citations

Steyvers, Mark & Robert J. Schafer. (2020). Inferring latent learning factors in large-scale cognitive training data. Nature Human Behaviour. 4(11). 1145–1155. 28 indexed citations

Schafer, Robert J., et al.. (2020). Perceptions of Brain Training: Public Expectations of Cognitive Benefits From Popular Activities. Frontiers in Human Neuroscience. 14. 15–15. 10 indexed citations

10.

Lowet, Eric, et al.. (2018). Enhanced Neural Processing by Covert Attention only during Microsaccades Directed toward the Attended Stimulus. Neuron. 99(1). 207–214.e3. 75 indexed citations

11.

Zhou, Huihui, Robert J. Schafer, & Robert Desimone. (2016). Pulvinar-Cortex Interactions in Vision and Attention. Neuron. 89(1). 209–220. 230 indexed citations

12.

Li, Frank, et al.. (2010). High-precision sizing of nanoparticles by laser transmission spectroscopy. Applied Optics. 49(34). 6602–6602. 25 indexed citations

13.

Schafer, Robert J. & Tirin Moore. (2007). Attention Governs Action in the Primate Frontal Eye Field. Neuron. 56(3). 541–551. 70 indexed citations

14.

Sirenko, Oksana, et al.. (2005). Cell membrane array fabrication and assay technology. BMC Biotechnology. 5(1). 18–18. 45 indexed citations

15.

Sirenko, Oksana, et al.. (2005). Lipid Mobility and Molecular Binding in Fluid Lipid Membranes. Journal of the American Chemical Society. 127(9). 2826–2827. 57 indexed citations

16.

Cohen, Marlene R., Geoffrey W Meissner, Robert J. Schafer, & Jennifer L Raymond. (2004). Reversal of Motor Learning in the Vestibulo-Ocular Reflex in the Absence of Visual Input. Learning & Memory. 11(5). 559–565. 19 indexed citations

17.

Schafer, Robert J., et al.. (2003). MembraneChipTM : Arrays of Natively Displayed Membrane Targets for Novel Drug Discovery. TechConnect Briefs. 3(2003). 400–403. 1 indexed citations

18.

Arroyo, Carmen M., Robert J. Schafer, & Alasdair J. Carmichael. (2001). Reactivity of chloroethyl sulfides in the presence of a chlorinated prophylactic: a kinetic study by EPR/spin trapping and NMR techniques†**. Journal of Applied Toxicology. 20(S1). S7–S12. 2 indexed citations

19.

Arroyo, Carmen M., et al.. (2001). Response of normal human keratinocytes to sulfur mustard: cytokine release†‡. Journal of Applied Toxicology. 20(S1). S63–S72. 56 indexed citations

20.

Schafer, Robert J., et al.. (1998). Effects of Sulfur Mustard on Cytokines Released from Cultured Human Epidermal Keratinocytes. International Journal of Toxicology. 17(3). 223–229. 5 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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