Daniel J. Lavery

71 total papers · 2.8k total citations
38 papers, 1.6k citations indexed

About

Daniel J. Lavery is a scholar working on Molecular Biology, Hardware and Architecture and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniel J. Lavery has authored 38 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Hardware and Architecture and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniel J. Lavery's work include Parallel Computing and Optimization Techniques (14 papers), Embedded Systems Design Techniques (7 papers) and Radiation Effects in Electronics (5 papers). Daniel J. Lavery is often cited by papers focused on Parallel Computing and Optimization Techniques (14 papers), Embedded Systems Design Techniques (7 papers) and Radiation Effects in Electronics (5 papers). Daniel J. Lavery collaborates with scholars based in United States, Switzerland and Germany. Daniel J. Lavery's co-authors include Ueli Schibler, John Paul Shen, Hong Wang, Christopher J. Hughes, Dean M. Tullsen, Jamison D. Collins, Yong-Fong Lee, Selina Chen‐Kiang, Étienne Audinat and Luis Lopez‐Molina and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Daniel J. Lavery

38 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Daniel J. Lavery 499 496 415 357 255 38 1.6k
John Boyle 203 0.4× 664 1.3× 228 0.5× 115 0.3× 52 0.2× 51 1.4k
Guohua Jin 162 0.3× 843 1.7× 157 0.4× 286 0.8× 14 0.1× 111 1.8k
Andrew Kennedy 145 0.3× 601 1.2× 79 0.2× 120 0.3× 36 0.1× 61 1.4k
Ingie Hong 161 0.3× 543 1.1× 76 0.2× 887 2.5× 31 0.1× 52 1.9k
Yang Hu 223 0.4× 339 0.7× 470 1.1× 66 0.2× 11 0.0× 49 1.3k
Krishnan Padmanabhan 128 0.3× 323 0.7× 445 1.1× 430 1.2× 10 0.0× 82 1.8k
Weimin Zheng 155 0.3× 206 0.4× 270 0.7× 167 0.5× 9 0.0× 103 1.7k
Nobuaki Ozaki 45 0.1× 737 1.5× 26 0.1× 212 0.6× 205 0.8× 61 1.8k
Junko Takahashi 102 0.2× 320 0.6× 26 0.1× 369 1.0× 26 0.1× 62 1.9k
Michael Jackson 37 0.1× 405 0.8× 298 0.7× 630 1.8× 13 0.1× 110 2.0k

Countries citing papers authored by Daniel J. Lavery

Since Specialization
Citations

This map shows the geographic impact of Daniel J. Lavery'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. Lavery 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. Lavery more than expected).

Fields of papers citing papers by Daniel J. Lavery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Lavery. A scholar is included among the top collaborators of Daniel J. Lavery 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. Lavery. Daniel J. Lavery 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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