Alisa Kongthon

28 papers receiving 471 citations

Peers

Alisa Kongthon
Comparison fields: 5 of 104
  • Artificial Intelligence 137
  • Strategy and Management 114
  • Sociology and Political Science 106
  • Communication 78
  • Information Systems 73
Replace He Qin with:
He Qin China
Nitesh Bharosa Netherlands
Даррен Далчер United Kingdom
Ronald Dattero United States
Zhichang Zhu United Kingdom
Sangyoon Yi South Korea
Marija Čubrić United Kingdom
Laura J. Black United States
Claude Banville Canada
Bonnie Rubenstein‐Montano United States
Alisa Kongthon relative to He Qin China He Qin's profile →
Citations per field
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He Qin · 1×
Citations per year

Countries citing papers authored by Alisa Kongthon

Since Specialization
Citations

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

Fields of papers citing papers by Alisa Kongthon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alisa Kongthon

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 1
4 4
5 1
6 0
7 11
8 2
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S-Sense: A Sentiment Analysis Framework for Social Media Sensing
19
10
Discovering the professional communities and social networks of emerging research areas: Use of technology intelligence from bibliometric and text mining analysis
4
11
The role of Twitter during a natural disaster: Case study of 2011 Thai Flood
64
12 3
13
HotelOpinion: An opinion mining system on hotel reviews in Thailand
11
14
Using an opinion mining approach to exploit Web content in order to improve customer relationship management
6
15 1
16 1
17 11
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Get What You Need from Technology Information Products
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19 5
20 170

About Alisa Kongthon

Alisa Kongthon is a scholar working on Health Informatics, Computer Science Applications and Artificial Intelligence, having authored 33 papers that have together received 519 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Sentiment Analysis and Opinion Mining (5 papers) and Advanced Text Analysis Techniques (5 papers). The work is most often cited by research in Communication (78 citations), Management of Technology and Innovation (57 citations) and Strategy and Management (114 citations). Alisa Kongthon has collaborated with scholars based in Thailand, United States and Japan. Frequent co-authors include Alan L. Porter, Choochart Haruechaiyasak, Jye‐Chyi Lu, Sarawoot Kongyoung, Nathasit Gerdsri, Dinah Payne, Nils C. Newman, J. David Roessner, Pornchai Supnithi and Mitsuru Ikeda. Their work appears in journals such as Technological Forecasting and Social Change, Scientometrics and Technology Analysis and Strategic Management.

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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