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Photo of Kraisak Kesorn

Assoc. Prof. Dr. Kraisak Kesorn

รองศาสตราจารย์ ดร.ไกรศักดิ์ เกษร

Department of Computer Science and Information TechnologyFaculty of Science, Naresuan UniversityNaresuan University

Expertise

semantic data mining
machine learning
decision trees
time series forecasting
ontology modeling
dengue fever prediction
information retrieval
tourism informatics
data imputation
plagiarism detection
Semantic-based Information Retrieval
Decision support system
Data warehouse
Business Intelligence

PDF · A4 · Englishkraisakk@nu.ac.th

Profile Publications Analytics

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Research Metrics

Publications indexed in Google Scholar; citations, h-index and i10-index counted by SciPub. Updated 29 Oct 2026.

Publications: 52
Citations: 883
h-index: 12
i10-index: 17

Research

What Dr. kraisak publishes and how often it is cited

Output and impact

Same figures as Analytics

Journal quartile52 papers

Q1 19
Q2 3
Q3 6
Q4 5
N/A 19

19 of the 52 papers are in Q1 journals (Scopus, else SJR). N/A: the venue has no quartile.

Citations per yearper Google Scholar

20162026 so far

These add up to 719. Citations (883) is SciPub's own count from 52 papers, so the two differ.

Most recent papers

Newest first

Beyond romance: unveiling the motivational dimensions and data-driven segments of international honeymoon travel behavior
Consumer Behavior in Tourism and Hospitality · 2026
Q1
0 citations
Rice-growth-stage classification under persistent cloud using optical–synthetic aperture radar fusion and phenology-aware imputation
Computational Geosciences · 2026
Q2
0 citations
EMPOWERING EFFECTIVE INTER AND INTRA RESOURCE MANAGEMENT THROUGH SOCIAL NETWORK-DRIVEN TOURIST MOVEMENT ANALYSIS
ICIC Express Letters · 2025
Q4
0 citations

Most cited papers

By citations counted by SciPub

Analysis of significant factors for dengue fever incidence prediction
BMC bioinformatics · 2016
Q1
112 citations
Personalized attraction recommendation system for tourists through check-in data
IEEE access · 2017
Q1
105 citations
Dengue epidemics prediction: a survey of the state-of-the-art based on data science processes
IEEE Access · 2018
Q1
99 citations

See all 52 papers See full analytics

Contact

Email Dr. kraisak

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Closest expertise to Dr. kraisak’s

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