Lawrence H. Landweber

31 papers and 865 indexed citations i.

About

Lawrence H. Landweber is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Lawrence H. Landweber has authored 31 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 14 papers in Computational Theory and Mathematics and 6 papers in Artificial Intelligence. Recurrent topics in Lawrence H. Landweber’s work include Formal Methods in Verification (5 papers), Distributed systems and fault tolerance (5 papers) and Petri Nets in System Modeling (4 papers). Lawrence H. Landweber is often cited by papers focused on Formal Methods in Verification (5 papers), Distributed systems and fault tolerance (5 papers) and Petri Nets in System Modeling (4 papers). Lawrence H. Landweber collaborates with scholars based in United States, Japan and Australia. Lawrence H. Landweber's co-authors include J Büchi, Edward L. Robertson, Y. Edmund Lien, Neil D. Jones, Akihiro Nakao, Mark Berman, Jeffrey S. Chase, Maximilian Ott, Dipankar Raychaudhuri and Robert Ricci and has published in prestigious journals such as Science, Communications of the ACM and IEEE Communications Magazine.

In The Last Decade

Co-authorship network of co-authors of Lawrence H. Landweber i

Fields of papers citing papers by Lawrence H. Landweber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lawrence H. Landweber

Since Specialization
Citations

This map shows the geographic impact of Lawrence H. Landweber'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 H. Landweber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence H. Landweber 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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2025