Bela Stantić

115 papers receiving 1.8k citations

Bela Stantić's Hit Papers

Sentiment Analysis in Tourism: Capitalizing on Big Data 2017 · 417 citations
4170+3+6Years since publication100200300400

Peers

Bela Stantić
Comparison fields: 5 of 152
  • Marketing 262
  • Tourism, Leisure and Hospitality Management 31
  • Geology 111
  • Sociology and Political Science 647
  • Artificial Intelligence 467
Replace Fred Collopy with:
Fred Collopy United States
Jyoti Prakash Singh India
Dietmar Wolfram United States
Emmanuel Sirimal Silva United Kingdom
Gavin McArdle Ireland
Chi Yuan China
B. Chandra India
Han Liu China
Dick van Dijk Netherlands
Bo Fan China
Bela Stantić relative to Fred Collopy United States Fred Collopy's profile →
Citations per field
00.5×5.4×
Fred Collopy · 1×
Citations per year

Countries citing papers authored by Bela Stantić

Since Specialization
Citations

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

Fields of papers citing papers by Bela Stantić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bela Stantić, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bela Stantić Line = papers co-authored together Bela Stantić links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Sentiment Analysis in Tourism: Capitalizing on Big Data
Hit paper breakdown →
2017417
2 2020172
3 2016100
4 201785
5 202262
6 201857
7 201548
8 202046
9 201944
10 202440
11 201940
12 201835
13 202135
14 202126
15 201725
16 202024
17
Simulated annealing for materialized view selection in data warehousing environment
200623
18 202123
19 201919
20 201918

About Bela Stantić

Bela Stantić is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Information Systems and Media Technology, having authored 120 papers that have together received 1.9k indexed citations. Recurring topics across this work include Data Management and Algorithms (22 papers), Advanced Database Systems and Queries (22 papers), RFID technology advancements (17 papers), Semantic Web and Ontologies (13 papers), Remote Sensing and LiDAR Applications (13 papers), 3D Surveying and Cultural Heritage (12 papers), Diverse Aspects of Tourism Research (9 papers) and Machine Learning in Bioinformatics (8 papers). The work is most often cited by research in Marketing (262 citations), Tourism, Leisure and Hospitality Management (31 citations), Geology (111 citations), Sociology and Political Science (647 citations) and Artificial Intelligence (467 citations). Bela Stantić has collaborated with scholars based in Australia, China and Switzerland. Frequent co-authors include Susanne Becken, Alireza Alaei, Jinyan Chen, Abdul Sattar, Catherine Prentice, Rod M. Connolly, Lukas Folkman, Mohammad Awrangjeb, Yaoqi Zhou and Quoc Viet Hung Nguyen. Their work appears in journals such as Remote Sensing, Annals of Tourism Research, Journal of Intelligent Information Systems, Artificial Intelligence in Medicine and BMC Genomics.

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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