Philip Laird

About

Philip Laird is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, Philip Laird has authored 13 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Management Science and Operations Research. Recurrent topics in Philip Laird’s work include Machine Learning and Algorithms (7 papers), Scheduling and Timetabling Solutions (3 papers) and Scheduling and Optimization Algorithms (3 papers). Philip Laird is often cited by papers focused on Machine Learning and Algorithms (7 papers), Scheduling and Timetabling Solutions (3 papers) and Scheduling and Optimization Algorithms (3 papers). Philip Laird collaborates with scholars based in United States. Philip Laird's co-authors include Dana Angluin, Steven Minton, Mark Johnston and Andrew B. Philips and has published in prestigious journals such as Artificial Intelligence, Machine Learning and International Conference on Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Philip Laird i

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Fields of papers citing papers by Philip Laird

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip Laird. 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 Philip Laird. The network helps show where Philip Laird may publish in the future.

Countries citing papers authored by Philip Laird

Since Specialization

Citations

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