Pucktada Treeratpituk
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- Data Quality and Management 7
- Artificial Intelligence top 5%
- Advanced Text Analysis Techniques 5
- Topic Modeling 3
- Natural Language Processing Techniques 3
- Information Systems top 10%
- Web Data Mining and Analysis 2
- Data Mining Algorithms and Applications 2
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- Data Management and Algorithms 2
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- Data-Driven Disease Surveillance 2
- Co-authors
- C. Lee GilesJamie CallanMadian KhabsaPrasenjit MitraHung‐Hsuan ChenJian HuangSumit BhatiaCornelia Caragea
- Journals
- D-Lib Magazine (1 paper)Intelligent Data Analysis (1 paper)Meeting of the Association for Computational Linguistics (1 paper)
- Partner nations
- United StatesThailand
In The Last Decade
Pucktada Treeratpituk
12 papers receiving 289 citations
Peers
Comparison fields: 5 of 52
- Management Science and Operations Research 140
- Artificial Intelligence 229
- Information Systems 106
- Information Systems and Management 15
- Statistical and Nonlinear Physics 26
Countries citing papers authored by Pucktada Treeratpituk
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
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
The 13 scholars most cited alongside Pucktada Treeratpituk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2021 | 11 | |
| 3 | 2015 | 24 | |
| 4 | 2014 | 13 | |
| 5 | 2013 | 16 | |
| 6 | 2012 | 4 | |
| 7 | The Pennsylvania State University The Graduate School College of Information Sciences and Technology PERSON NAME DISAMBIGUATION IN THE MULTICULTURAL AND ONLINE SETTING | 2012 | 1 |
| 8 | 2012 | 30 | |
| 9 | 2012 | 6 | |
| 10 | SEERLAB: A System for Extracting Keyphrases from Scholarly Documents | 2010 | 12 |
| 11 | 2009 | 113 | |
| 12 | 2006 | 74 | |
| 13 | 2006 | 5 |
About Pucktada Treeratpituk
Pucktada Treeratpituk is a scholar working on Management Science and Operations Research, Artificial Intelligence, Information Systems, Signal Processing and Language and Linguistics, having authored 13 papers that have together received 309 indexed citations. Recurring topics across this work include Data Quality and Management (7 papers), Advanced Text Analysis Techniques (5 papers), Topic Modeling (3 papers), Natural Language Processing Techniques (3 papers), Web Data Mining and Analysis (2 papers), Data Management and Algorithms (2 papers), Data-Driven Disease Surveillance (2 papers) and Data Mining Algorithms and Applications (2 papers). The work is most often cited by research in Management Science and Operations Research (140 citations), Artificial Intelligence (229 citations), Information Systems (106 citations), Information Systems and Management (15 citations) and Statistical and Nonlinear Physics (26 citations). Pucktada Treeratpituk has collaborated with scholars based in United States and Thailand. Frequent co-authors include C. Lee Giles, Jamie Callan, Madian Khabsa, Prasenjit Mitra, Hung‐Hsuan Chen, Jian Huang, Sumit Bhatia, Cornelia Caragea, Jian Wu and Zhaohui Wu. Their work appears in journals such as D-Lib Magazine, Intelligent Data Analysis, Meeting of the Association for Computational Linguistics and Proceedings of the AAAI Conference on Artificial Intelligence.
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.