Leonard M. Isaacson

9 total papers · 485 total citations
7 papers, 168 citations indexed

About

Leonard M. Isaacson is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Organic Chemistry. According to data from OpenAlex, Leonard M. Isaacson has authored 7 papers receiving a total of 168 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Signal Processing and 1 paper in Organic Chemistry. Recurrent topics in Leonard M. Isaacson's work include Music Technology and Sound Studies (3 papers), Music and Audio Processing (2 papers) and Oxidative Organic Chemistry Reactions (1 paper). Leonard M. Isaacson is often cited by papers focused on Music Technology and Sound Studies (3 papers), Music and Audio Processing (2 papers) and Oxidative Organic Chemistry Reactions (1 paper). Leonard M. Isaacson collaborates with scholars based in United States. Leonard M. Isaacson's co-authors include Lejaren Hiller, John Haldi, Aron Kuppermann, Martin Karplus and Scott E. Wood and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry and Mathematics of Computation.

In The Last Decade

Leonard M. Isaacson

7 papers receiving 132 citations

Author Peers

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

Author Last Decade Papers Cites
Leonard M. Isaacson 123 100 70 13 12 7 168
Charles Richards Dodge 166 1.3× 124 1.2× 67 1.0× 21 1.6× 20 1.7× 10 228
Gaëtan Hadjeres 125 1.0× 118 1.2× 74 1.1× 23 1.8× 22 1.8× 6 172
Monica Dinculescu 122 1.0× 111 1.1× 64 0.9× 46 3.5× 5 0.4× 8 187
Hélène Papadopoulos 98 0.8× 121 1.2× 32 0.5× 17 1.3× 5 0.4× 10 130
Filip Korzeniowski 156 1.3× 163 1.6× 51 0.7× 19 1.5× 18 1.5× 12 191
Curtis Hawthorne 182 1.5× 184 1.8× 81 1.2× 54 4.2× 15 1.3× 9 238
J. E. McCartney 219 1.8× 156 1.6× 117 1.7× 9 0.7× 2 0.2× 6 265
Z. Gigus 155 1.3× 20 0.2× 21 0.3× 7 0.5× 7 237
Sebastian Streich 190 1.5× 235 2.4× 33 0.5× 19 1.5× 13 1.1× 12 242
Fang-Fei Kuo 142 1.2× 139 1.4× 47 0.7× 57 4.4× 9 0.8× 12 272

Countries citing papers authored by Leonard M. Isaacson

Since Specialization
Citations

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

Fields of papers citing papers by Leonard M. Isaacson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonard M. Isaacson. 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 Leonard M. Isaacson. The network helps show where Leonard M. Isaacson may publish in the future.

Co-authorship network of co-authors of Leonard M. Isaacson

This figure shows the co-authorship network connecting the top 25 collaborators of Leonard M. Isaacson. A scholar is included among the top collaborators of Leonard M. Isaacson 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 Leonard M. Isaacson. Leonard M. Isaacson 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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