Daniel J. Lurie

27 total papers · 2.2k total citations
12 papers, 536 citations indexed

About

Daniel J. Lurie is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Daniel J. Lurie has authored 12 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Daniel J. Lurie's work include Neural dynamics and brain function (8 papers), Functional Brain Connectivity Studies (8 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). Daniel J. Lurie is often cited by papers focused on Neural dynamics and brain function (8 papers), Functional Brain Connectivity Studies (8 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). Daniel J. Lurie collaborates with scholars based in United States, United Kingdom and China. Daniel J. Lurie's co-authors include Mark D’Esposito, Michael P. Milham, Ravi D. Mill, R. Cameron Craddock, Bharat B. Biswal, Krzysztof J. Gorgolewski, Andrew Reid, Rubén Sánchez-Romero, Jonathan Smallwood and Vince D. Calhoun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel J. Lurie

12 papers receiving 531 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Daniel J. Lurie	442	107	97	57	27	12	536
Onerva Korhonen	504 1.1×	73 0.7×	90 0.9×	47 0.8×	27 1.0×	8	555
Giuseppe Lisi	411 0.9×	81 0.8×	66 0.7×	70 1.2×	17 0.6×	18	475
Jennifer Stiso	347 0.8×	69 0.6×	66 0.7×	55 1.0×	27 1.0×	18	511
Michael Burke	446 1.0×	68 0.6×	107 1.1×	85 1.5×	20 0.7×	20	609
Takeshi Asamizuya	369 0.8×	58 0.5×	64 0.7×	32 0.6×	21 0.8×	12	492
Hugo L. Fernandes	392 0.9×	46 0.4×	54 0.6×	59 1.0×	23 0.9×	18	589
Vasso Tsirka	477 1.1×	76 0.7×	73 0.8×	22 0.4×	22 0.8×	8	519
Jin Li	308 0.7×	91 0.9×	90 0.9×	29 0.5×	26 1.0×	31	484
Louis-David Lord	337 0.8×	98 0.9×	95 1.0×	87 1.5×	44 1.6×	15	528
Robert G. Lyday	379 0.9×	101 0.9×	131 1.4×	23 0.4×	21 0.8×	26	469

Countries citing papers authored by Daniel J. Lurie

Since Specialization

Citations

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

Fields of papers citing papers by Daniel J. Lurie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Lurie

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

All Works

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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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