Lawrence D. Jackel

About

Lawrence D. Jackel is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Lawrence D. Jackel has authored 8 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Aerospace Engineering. Recurrent topics in Lawrence D. Jackel’s work include Neural Networks and Applications (4 papers), Handwritten Text Recognition Techniques (3 papers) and CCD and CMOS Imaging Sensors (1 paper). Lawrence D. Jackel is often cited by papers focused on Neural Networks and Applications (4 papers), Handwritten Text Recognition Techniques (3 papers) and CCD and CMOS Imaging Sensors (1 paper). Lawrence D. Jackel collaborates with scholars based in United States, United Kingdom and Germany. Lawrence D. Jackel's co-authors include Richard Howard, John S. Denker, Bernhard E. Boser, Yann LeCun, Wayne E. Hubbard, D. Henderson, Ben S. Wittner, Sara A. Solla, Daniel Schwartz and J. J. Hopfield and has published in prestigious journals such as Icarus, Complex Systems and neural information processing systems.

In The Last Decade

Co-authorship network of co-authors of Lawrence D. Jackel i

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Fields of papers citing papers by Lawrence D. Jackel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lawrence D. Jackel. 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 Lawrence D. Jackel. The network helps show where Lawrence D. Jackel may publish in the future.

Countries citing papers authored by Lawrence D. Jackel

Since Specialization

Citations

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

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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