Pucktada Treeratpituk

503 total citations
13 papers, 309 citations indexed

About

Pucktada Treeratpituk is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Pucktada Treeratpituk has authored 13 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Management Science and Operations Research and 5 papers in Information Systems. Recurrent topics in Pucktada Treeratpituk's work include Data Quality and Management (7 papers), Advanced Text Analysis Techniques (5 papers) and Topic Modeling (3 papers). Pucktada Treeratpituk is often cited by papers focused on Data Quality and Management (7 papers), Advanced Text Analysis Techniques (5 papers) and Topic Modeling (3 papers). Pucktada Treeratpituk collaborates with scholars based in United States and Thailand. Pucktada Treeratpituk's co-authors include C. Lee Giles, Jamie Callan, Madian Khabsa, Prasenjit Mitra, Hung‐Hsuan Chen, Jian Huang, Zhaohui Wu, Jian Wu, Cornelia Caragea and Sumit Bhatia and has published in prestigious journals such as D-Lib Magazine, Intelligent Data Analysis and Meeting of the Association for Computational Linguistics.

In The Last Decade

Pucktada Treeratpituk

12 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pucktada Treeratpituk United States 8 229 140 106 80 26 13 309
Byung-Won On United States 6 212 0.9× 237 1.7× 99 0.9× 82 1.0× 13 0.5× 7 291
Ergin Elmacioglu United States 7 140 0.6× 104 0.7× 126 1.2× 34 0.4× 75 2.9× 10 283
Yee Fan Tan Singapore 8 305 1.3× 97 0.7× 116 1.1× 54 0.7× 12 0.5× 18 372
Michael Wick United States 13 427 1.9× 139 1.0× 98 0.9× 52 0.7× 12 0.5× 29 506
Ugo Scaiella Italy 4 575 2.5× 87 0.6× 201 1.9× 41 0.5× 35 1.3× 5 644
Michael Ley Germany 4 133 0.6× 37 0.3× 87 0.8× 22 0.3× 72 2.8× 16 242
Indrajit Bhattacharya United States 9 312 1.4× 282 2.0× 146 1.4× 44 0.6× 45 1.7× 14 435
Chaitanya Chemudugunta United States 5 282 1.2× 25 0.2× 112 1.1× 34 0.4× 68 2.6× 6 383
Taylor Cassidy United States 12 502 2.2× 85 0.6× 73 0.7× 61 0.8× 28 1.1× 21 550
Esteban Arcaute United States 6 300 1.3× 310 2.2× 105 1.0× 13 0.2× 18 0.7× 10 414

Countries citing papers authored by Pucktada Treeratpituk

Since Specialization
Citations

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

Fields of papers citing papers by Pucktada Treeratpituk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pucktada Treeratpituk

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

All Works

13 of 13 papers shown
1.
Laosiritaworn, Yongyut, et al.. (2023). Economic and financial news hybrid- classification based on category-associated feature set. Intelligent Data Analysis. 28(1). 185–201.
2.
Treeratpituk, Pucktada & C. Lee Giles. (2021). Name-Ethnicity Classification and Ethnicity-Sensitive Name Matching. Proceedings of the AAAI Conference on Artificial Intelligence. 26(1). 1141–1147. 11 indexed citations
3.
Khabsa, Madian, Pucktada Treeratpituk, & C. Lee Giles. (2015). Online Person Name Disambiguation with Constraints. 37–46. 24 indexed citations
4.
Khabsa, Madian, Pucktada Treeratpituk, & C. Lee Giles. (2014). Large scale author name disambiguation in digital libraries. 41–42. 13 indexed citations
5.
Chen, Hung‐Hsuan, Pucktada Treeratpituk, Prasenjit Mitra, & C. Lee Giles. (2013). CSSeer. 381–382. 16 indexed citations
6.
Khabsa, Madian, Pucktada Treeratpituk, & C. Lee Giles. (2012). Entity resolution using search engine results. 2363–2366. 4 indexed citations
7.
Treeratpituk, Pucktada. (2012). The Pennsylvania State University The Graduate School College of Information Sciences and Technology PERSON NAME DISAMBIGUATION IN THE MULTICULTURAL AND ONLINE SETTING. 1 indexed citations
8.
Bhatia, Sumit, Cornelia Caragea, Jian Wu, et al.. (2012). Specialized Research Datasets in the CiteSeerX Digital Library. D-Lib Magazine. 18(7/8). 6 indexed citations
9.
Khabsa, Madian, Pucktada Treeratpituk, & C. Lee Giles. (2012). AckSeer. 185–194. 30 indexed citations
10.
Treeratpituk, Pucktada, et al.. (2010). SEERLAB: A System for Extracting Keyphrases from Scholarly Documents. Meeting of the Association for Computational Linguistics. 182–185. 12 indexed citations
11.
Treeratpituk, Pucktada & C. Lee Giles. (2009). Disambiguating authors in academic publications using random forests. 39–48. 113 indexed citations
12.
Treeratpituk, Pucktada & Jamie Callan. (2006). An experimental study on automatically labeling hierarchical clusters using statistical features. 707–708. 5 indexed citations
13.
Treeratpituk, Pucktada & Jamie Callan. (2006). Automatically labeling hierarchical clusters. 167–176. 74 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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