Joko Siswantoro

1.4k total citations
40 papers, 1.2k citations indexed

About

Joko Siswantoro is a scholar working on Plant Science, Analytical Chemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, Joko Siswantoro has authored 40 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 9 papers in Analytical Chemistry and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Joko Siswantoro's work include Smart Agriculture and AI (11 papers), Spectroscopy and Chemometric Analyses (9 papers) and Industrial Vision Systems and Defect Detection (6 papers). Joko Siswantoro is often cited by papers focused on Smart Agriculture and AI (11 papers), Spectroscopy and Chemometric Analyses (9 papers) and Industrial Vision Systems and Defect Detection (6 papers). Joko Siswantoro collaborates with scholars based in Indonesia, Malaysia and Saudi Arabia. Joko Siswantoro's co-authors include Fitranto Kusumo, T.M.I. Mahlia, Hwai Chyuan Ong, Jassinnee Milano, A.S. Silitonga, Abdi Hanra Sebayang, Abd Halim Shamsuddin, Surya Dharma, H.H. Masjuki and Anton Satria Prabuwono and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Expert Systems with Applications.

In The Last Decade

Joko Siswantoro

38 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joko Siswantoro Indonesia 13 705 371 204 128 113 40 1.2k
Ali M. Nikbakht Iran 16 912 1.3× 514 1.4× 601 2.9× 95 0.7× 59 0.5× 46 1.5k
Fernando Cruz-Peragón Spain 16 294 0.4× 204 0.5× 150 0.7× 46 0.4× 31 0.3× 60 835
Mohammad Reza Sarmasti Emami Iran 21 527 0.7× 602 1.6× 54 0.3× 34 0.3× 47 0.4× 51 1.4k
Yuyan Guo China 15 1.0k 1.4× 594 1.6× 234 1.1× 283 2.2× 16 0.1× 32 1.5k
J. M. Pérez Spain 18 450 0.6× 845 2.3× 95 0.5× 45 0.4× 34 0.3× 67 1.4k
Jakob Kjøbsted Huusom Denmark 20 263 0.4× 180 0.5× 69 0.3× 219 1.7× 53 0.5× 110 1.3k
Sami Al Obaid Saudi Arabia 19 129 0.2× 212 0.6× 55 0.3× 31 0.2× 139 1.2× 110 948
Q. Zhang United States 15 244 0.3× 229 0.6× 183 0.9× 16 0.1× 192 1.7× 27 827
Bernardo Tormos Spain 21 525 0.7× 525 1.4× 627 3.1× 11 0.1× 20 0.2× 85 1.4k
Samsher Gautam India 18 206 0.3× 306 0.8× 64 0.3× 65 0.5× 188 1.7× 90 1.5k

Countries citing papers authored by Joko Siswantoro

Since Specialization
Citations

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

Fields of papers citing papers by Joko Siswantoro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joko Siswantoro

This figure shows the co-authorship network connecting the top 25 collaborators of Joko Siswantoro. A scholar is included among the top collaborators of Joko Siswantoro 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 Joko Siswantoro. Joko Siswantoro 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.
Siswantoro, Joko, et al.. (2024). Facial Expression Recognition to Detect Student Engagement in Online Lectures. SHILAP Revista de lepidopterología. 13(2). 226–232. 1 indexed citations
2.
Riyadi, Slamet, et al.. (2024). Unveiling Effective CSCL Constructs for STEM Education in Malaysia and Indonesia. Journal of Advanced Research in Applied Sciences and Engineering Technology. 46(1). 97–106. 2 indexed citations
3.
Sebayang, Abdi Hanra, Fitranto Kusumo, Jassinnee Milano, et al.. (2023). Optimization of biodiesel production from rice bran oil by ultrasound and infrared radiation using ANN-GWO. Fuel. 346. 128404–128404. 43 indexed citations
4.
Sunaryono, Dwi, et al.. (2023). Optimized One-Dimension Convolutional Neural Network for Seizure Classification from EEG Signal based on Whale Optimization Algorithm. International journal of intelligent engineering and systems. 16(3). 310–322. 3 indexed citations
5.
Siswantoro, Joko, et al.. (2023). Mobile Application for Medicinal Plants Recognition from Leaf Image Using Convolutional Neural Network. 5(2). 43–56. 4 indexed citations
6.
Siswantoro, Joko, et al.. (2023). Klasifikasi Tulisan Tangan Pada Resep Obat Menggunakan Convolutional Neural Network. SHILAP Revista de lepidopterología. 22(2). 508–526. 4 indexed citations
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Siswantoro, Joko, et al.. (2022). A rapid and accurate computer vision system for measuring the volume of axi-symmetric natural products based on cubic spline interpolation. Journal of Food Engineering. 333. 111139–111139. 11 indexed citations
9.
Sunaryono, Dwi, et al.. (2022). Hybrid One-Dimensional CNN and DNN Model for Classification Epileptic Seizure. International journal of intelligent engineering and systems. 15(6). 492–502. 5 indexed citations
10.
Siswantoro, Joko, et al.. (2022). Analisis Sentimen Multi-Kelas Untuk Film Berbasis Teks Ulasan Menggunakan Model Regresi Logistik. SHILAP Revista de lepidopterología. 11(2). 123–128. 1 indexed citations
11.
Siswantoro, Joko, et al.. (2022). Leaf geometric properties measurement using computer vision system based on camera parameters. AIP conference proceedings. 2470. 50008–50008. 1 indexed citations
12.
Sunaryono, Dwi, et al.. (2022). Enhanced Gradient Boosting Machines Fusion based on the Pattern of Majority Voting for Automatic Epilepsy Detection. International Journal of Advanced Computer Science and Applications. 13(7). 3 indexed citations
13.
Siswantoro, Joko, et al.. (2020). Indonesian fruits classification from image using MPEG‐7 descriptors and ensemble of simple classifiers. Journal of Food Process Engineering. 43(7). 10 indexed citations
14.
Masjuki, H.H., Hwai Chyuan Ong, Abdi Hanra Sebayang, et al.. (2018). Evaluation of the engine performance and exhaust emissions of biodiesel-bioethanol-diesel blends using kernel-based extreme learning machine. Energy. 159. 1075–1087. 247 indexed citations
15.
Sabilla, Shoffi Izza, Riyanarto Sarno, & Joko Siswantoro. (2017). Estimating Gas Concentration using Artificial Neural Network for Electronic Nose. Procedia Computer Science. 124. 181–188. 43 indexed citations
16.
Siswantoro, Joko, et al.. (2017). Computer vision system for egg volume prediction using backpropagation neural network. IOP Conference Series Materials Science and Engineering. 273. 12002–12002. 3 indexed citations
17.
Siswantoro, Joko, et al.. (2017). Hybrid Neural Network and Linear Model for Natural Produce Recognition Using Computer Vision. SHILAP Revista de lepidopterología. 11(2). 185–185. 5 indexed citations
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Siswantoro, Joko, Anton Satria Prabuwono, & Azizi Abdullah. (2014). Volume Measurement Algorithm for Food Product with Irregular Shape using Computer Vision based on Monte Carlo Method. SHILAP Revista de lepidopterología. 8(1). 1–17. 14 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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