Olarik Surinta

793 total citations
37 papers, 501 citations indexed

About

Olarik Surinta is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Olarik Surinta has authored 37 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 9 papers in Media Technology and 6 papers in Artificial Intelligence. Recurrent topics in Olarik Surinta's work include Handwritten Text Recognition Techniques (9 papers), Vehicle License Plate Recognition (7 papers) and Image Processing and 3D Reconstruction (6 papers). Olarik Surinta is often cited by papers focused on Handwritten Text Recognition Techniques (9 papers), Vehicle License Plate Recognition (7 papers) and Image Processing and 3D Reconstruction (6 papers). Olarik Surinta collaborates with scholars based in Thailand, Netherlands and Saudi Arabia. Olarik Surinta's co-authors include Lambert Schomaker, Marco Wiering, Emmanuel Okafor, Sarayut Gonwirat, Sakorn Mekruksavanich, Po Yang, Feng Dong, Baoquan Liu, Bob Dröge and David Williams and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Olarik Surinta

36 papers receiving 461 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Olarik Surinta Thailand 12 242 127 109 83 44 37 501
S. Manjunath India 11 201 0.8× 126 1.0× 54 0.5× 164 2.0× 70 1.6× 51 540
S. Veni India 14 185 0.8× 243 1.9× 117 1.1× 76 0.9× 108 2.5× 73 715
Anshu Singla India 10 162 0.7× 134 1.1× 62 0.6× 158 1.9× 46 1.0× 38 528
Lijuan Zhang China 11 160 0.7× 90 0.7× 49 0.4× 60 0.7× 24 0.5× 78 395
Musa Mohd Mokji Malaysia 12 228 0.9× 143 1.1× 78 0.7× 73 0.9× 56 1.3× 66 546
Jiaqi Wang China 10 239 1.0× 100 0.8× 34 0.3× 145 1.7× 32 0.7× 53 526
Ruijun Ma China 12 208 0.9× 88 0.7× 122 1.1× 49 0.6× 24 0.5× 26 408
Yifei Chen China 10 126 0.5× 66 0.5× 63 0.6× 87 1.0× 14 0.3× 52 482
Moataz M. Abdelwahab Egypt 10 259 1.1× 118 0.9× 53 0.5× 56 0.7× 47 1.1× 45 502
Jiawei Yan China 12 123 0.5× 158 1.2× 38 0.3× 50 0.6× 51 1.2× 20 464

Countries citing papers authored by Olarik Surinta

Since Specialization
Citations

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

Fields of papers citing papers by Olarik Surinta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olarik Surinta

This figure shows the co-authorship network connecting the top 25 collaborators of Olarik Surinta. A scholar is included among the top collaborators of Olarik Surinta 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 Olarik Surinta. Olarik Surinta 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
1.
Surinta, Olarik, et al.. (2024). Multi-layer adaptive spatial-temporal feature fusion network for efficient food image recognition. Expert Systems with Applications. 255. 124834–124834. 4 indexed citations
2.
Okafor, Emmanuel, et al.. (2024). Vehicle image datasets for image classification. Data in Brief. 53. 110133–110133. 2 indexed citations
3.
Okafor, Emmanuel, et al.. (2024). Mulberry leaf dataset for image classification task. Data in Brief. 54. 110281–110281. 4 indexed citations
4.
Okafor, Emmanuel, et al.. (2024). Robust Model Selection for Plant Leaf Image Recognition Based on Evolutionary Ant Colony Optimization With Learning Rate Schedule. IEEE Access. 12. 132369–132389. 1 indexed citations
5.
Surinta, Olarik, et al.. (2022). dropCyclic: Snapshot Ensemble Convolutional Neural Network Based on a New Learning Rate Schedule for Land Use Classification. IEEE Access. 10. 60725–60737. 11 indexed citations
6.
Surinta, Olarik, et al.. (2021). Fast and Accurate Deep Learning Architecture on Vehicle Type Recognition. Current Applied Science and Technology. 1 indexed citations
7.
Gonwirat, Sarayut & Olarik Surinta. (2020). Improving Recognition of Thai Handwritten Characters with Deep Convolutional Neural Networks. 82–87. 9 indexed citations
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Surinta, Olarik, et al.. (2020). Food Image Classification with Improved MobileNet Architecture and Data Augmentation. 51–56. 47 indexed citations
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Surinta, Olarik, et al.. (2019). A Machine Learning Approach for Detecting Distributed Denial of Service Attacks. 146–149. 12 indexed citations
13.
Surinta, Olarik, et al.. (2018). Factors Influencing the Adoption of Agricultural Management Information Systems in Thailand. 1–4. 6 indexed citations
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Okafor, Emmanuel, et al.. (2016). Comparative study between deep learning and bag of visual words for wild-animal recognition. University of Groningen research database (University of Groningen / Centre for Information Technology). 1–8. 34 indexed citations
17.
Surinta, Olarik, et al.. (2014). A Path Planning for Line Segmentation of Handwritten Documents. University of Groningen research database (University of Groningen / Centre for Information Technology). 175–180. 18 indexed citations
18.
Dröge, Bob, David Williams, Po Yang, et al.. (2014). Evaluating automatically parallelized versions of the support vector machine. Concurrency and Computation Practice and Experience. 28(7). 2274–2294. 5 indexed citations
19.
Surinta, Olarik, Lambert Schomaker, & Marco Wiering. (2013). A Comparison of Feature and Pixel-Based Methods for Recognizing Handwritten Bangla Digits. University of Groningen research database (University of Groningen / Centre for Information Technology). 165–169. 46 indexed citations
20.
Surinta, Olarik, Lambert Schomaker, & Marco Wiering. (2012). HANDWRITTEN CHARACTER CLASSIFICATION USING THE HOTSPOT FEATURE EXTRACTION TECHNIQUE. University of Groningen research database (University of Groningen / Centre for Information Technology). 261–264. 11 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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