Lawrence Shih

1.1k total citations · 1 hit paper
7 papers, 723 citations indexed

About

Lawrence Shih is a scholar working on Artificial Intelligence, Information Systems and Economics and Econometrics. According to data from OpenAlex, Lawrence Shih has authored 7 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Economics and Econometrics. Recurrent topics in Lawrence Shih's work include Text and Document Classification Technologies (4 papers), Spam and Phishing Detection (2 papers) and Machine Learning and Algorithms (2 papers). Lawrence Shih is often cited by papers focused on Text and Document Classification Technologies (4 papers), Spam and Phishing Detection (2 papers) and Machine Learning and Algorithms (2 papers). Lawrence Shih collaborates with scholars based in United States. Lawrence Shih's co-authors include David R. Karger, Jason D. M. Rennie, Jaime Teevan, Yu-Han Chang and David L. Greene and has published in prestigious journals such as Complexity, DSpace@MIT (Massachusetts Institute of Technology) and International Conference on Machine Learning.

In The Last Decade

Lawrence Shih

7 papers receiving 654 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Tackling the poor assumptions of naive bayes text classifiers

2003 630 citations Jason D. M. Rennie, Lawrence Shih et al. International Conference on Machine Learning profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Lawrence Shih United States	5	490	269	79	69	55	7	723
S TAN China	6	665 1.4×	246 0.9×	104 1.3×	47 0.7×	39 0.7×	7	827
Youli Qu China	7	596 1.2×	343 1.3×	134 1.7×	51 0.7×	42 0.8×	27	784
Jungyun Seo South Korea	15	922 1.9×	323 1.2×	86 1.1×	45 0.7×	29 0.5×	118	1.1k
Jaime G. Carbonell United States	8	288 0.6×	274 1.0×	139 1.8×	80 1.2×	90 1.6×	21	738
Janez Brank Slovenia	9	608 1.2×	321 1.2×	102 1.3×	185 2.7×	53 1.0×	26	828
Baogang Wei China	16	363 0.7×	186 0.7×	200 2.5×	109 1.6×	38 0.7×	74	754
Chong Feng China	17	469 1.0×	258 1.0×	117 1.5×	47 0.7×	27 0.5×	79	797
Achim Rettinger Germany	14	470 1.0×	173 0.6×	80 1.0×	60 0.9×	62 1.1×	50	645
Dequan Zheng China	13	415 0.8×	123 0.5×	105 1.3×	57 0.8×	22 0.4×	77	656

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).

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.

Co-authorship network of co-authors of Lawrence Shih

This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence Shih. A scholar is included among the top collaborators of Lawrence Shih 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 Lawrence Shih. Lawrence Shih is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Shih, Lawrence & David R. Karger. (2004). Using urls and table layout for web classification tasks. 193–202. 53 indexed citations

2.

Rennie, Jason D. M., Lawrence Shih, Jaime Teevan, & David R. Karger. (2003). Tackling the poor assumptions of naive bayes text classifiers. International Conference on Machine Learning. 616–623. 630 indexed citations breakdown →

3.

Shih, Lawrence, Jason D. M. Rennie, Yu-Han Chang, & David R. Karger. (2003). Text bundling: statistics-based data reduction. International Conference on Machine Learning. 696–703. 23 indexed citations

4.

Shih, Lawrence & David R. Karger. (2003). Learning Classes Correlated to a Hierarchy. DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations

5.

Shih, Lawrence, Yu-Han Chang, & Jason D. M. Rennie. (2002). Not Too Hot, Not Too Cold: The Bundled-SVM is Just Right!. 8 indexed citations

6.

Shih, Lawrence, et al.. (1998). Simulating acquistion on the economic Web. Complexity. 3(4). 41–45. 3 indexed citations

7.

Shih, Lawrence & David L. Greene. (1998). Simulating acquisition on the economic web. Complexity. 3(4). 41–45. 4 indexed citations

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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