Lawrence Shih

About

Lawrence Shih is a scholar working on Artificial Intelligence, Economics and Econometrics and Information Systems. According to data from OpenAlex, Lawrence Shih has authored 4 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Economics and Econometrics and 1 paper in Information Systems. Recurrent topics in Lawrence Shih’s work include Text and Document Classification Technologies (2 papers), Complex Systems and Time Series Analysis (2 papers) and Natural Language Processing Techniques (1 paper). Lawrence Shih is often cited by papers focused on Text and Document Classification Technologies (2 papers), Complex Systems and Time Series Analysis (2 papers) and Natural Language Processing Techniques (1 paper). Lawrence Shih collaborates with scholars based in United States. Lawrence Shih's co-authors include Jason D. M. Rennie, David R. Karger, Jaime Teevan, Yu-Han Chang and David L. Greene and has published in prestigious journals such as Complexity and International Conference on Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Lawrence Shih i

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Fields of papers citing papers by Lawrence Shih

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lawrence Shih

Since Specialization

Citations

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