Siti Nurmaini

2.6k total citations · 1 hit paper
190 papers, 1.7k citations indexed

About

Siti Nurmaini is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Siti Nurmaini has authored 190 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Artificial Intelligence, 46 papers in Computer Vision and Pattern Recognition and 36 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Siti Nurmaini's work include ECG Monitoring and Analysis (34 papers), Robotic Path Planning Algorithms (34 papers) and EEG and Brain-Computer Interfaces (19 papers). Siti Nurmaini is often cited by papers focused on ECG Monitoring and Analysis (34 papers), Robotic Path Planning Algorithms (34 papers) and EEG and Brain-Computer Interfaces (19 papers). Siti Nurmaini collaborates with scholars based in Indonesia, Malaysia and Brunei. Siti Nurmaini's co-authors include Bambang Tutuko, Firdaus Firdaus, Annisa Darmawahyuni, Muhammad Naufal Rachmatullah, Deris Stiawan, Yesi Novaria Kunang, Bhakti Yudho Suprapto, Ade Iriani Sapitri, Radiyati Umi Partan and Reza Firsandaya Malik and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Siti Nurmaini

173 papers receiving 1.7k citations

Hit Papers

Attack classification of an intrusion detection system us... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Siti Nurmaini Indonesia 21 523 494 381 294 261 190 1.7k
Minglei Shu China 22 284 0.5× 363 0.7× 191 0.5× 235 0.8× 241 0.9× 113 1.4k
Friso De Boer Australia 20 464 0.9× 277 0.6× 155 0.4× 147 0.5× 174 0.7× 69 1.5k
Mohamed Hammad Egypt 28 822 1.6× 728 1.5× 347 0.9× 580 2.0× 494 1.9× 78 2.8k
Fatemeh Afghah United States 22 230 0.4× 226 0.5× 748 2.0× 442 1.5× 337 1.3× 124 2.3k
Engin Avcı Türkiye 29 861 1.6× 217 0.4× 103 0.3× 162 0.6× 800 3.1× 90 2.4k
Adi Alhudhaif Saudi Arabia 27 630 1.2× 135 0.3× 143 0.4× 140 0.5× 513 2.0× 106 2.0k
Shabana Urooj India 24 289 0.6× 83 0.2× 282 0.7× 100 0.3× 319 1.2× 155 1.7k
Harikumar Rajaguru India 20 815 1.6× 225 0.5× 57 0.1× 550 1.9× 261 1.0× 244 1.8k
Monika Mittal India 23 169 0.3× 545 1.1× 62 0.2× 383 1.3× 62 0.2× 57 1.2k
Mohamed Atri Tunisia 24 590 1.1× 92 0.2× 352 0.9× 207 0.7× 1.6k 6.3× 165 2.8k

Countries citing papers authored by Siti Nurmaini

Since Specialization
Citations

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

Fields of papers citing papers by Siti Nurmaini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siti Nurmaini

This figure shows the co-authorship network connecting the top 25 collaborators of Siti Nurmaini. A scholar is included among the top collaborators of Siti Nurmaini 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 Siti Nurmaini. Siti Nurmaini 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
3.
Darmawahyuni, Annisa, et al.. (2025). A deep learning-based myocardial infarction classification based on single-lead electrocardiogram signal. International Journal of Advances in Applied Sciences. 14(2). 352–352.
4.
Darmawahyuni, Annisa, Siti Nurmaini, Bambang Tutuko, et al.. (2024). Health-Related Data Analysis Using Metaheuristic Optimization and Machine Learning. IEEE Access. 12. 55342–55356. 2 indexed citations
5.
Nurmaini, Siti, et al.. (2024). The deep convolutional networks for the classification of multi-class arrhythmia. Bulletin of Electrical Engineering and Informatics. 13(2). 1325–1333. 3 indexed citations
6.
Darmawahyuni, Annisa, Siti Nurmaini, Bambang Tutuko, et al.. (2024). An improved electrocardiogram arrhythmia classification performance with feature optimization. BMC Medical Informatics and Decision Making. 24(1). 412–412. 2 indexed citations
7.
Nurmaini, Siti, Muhammad Naufal Rachmatullah, Annisa Darmawahyuni, et al.. (2023). Real time mobile AI-assisted cervicography interpretation system. Informatics in Medicine Unlocked. 42. 101360–101360. 3 indexed citations
8.
Nurmaini, Siti, et al.. (2023). Heart Chamber Segmentation in Cardiomegaly Conditions Using the CNN Method with U-Net Architecture. SHILAP Revista de lepidopterología. 12(3). 455–461.
9.
Nurmaini, Siti, et al.. (2023). DETEKSI TUMOR OTAK PADA MAGNETIC RESONANCE IMAGING MENGGUNAKAN YOLOv7. 25(2). 116–121.
10.
Nurmaini, Siti, et al.. (2022). Automated Precancerous Lesion Screening Using an Instance Segmentation Technique for Improving Accuracy. Sensors. 22(15). 5489–5489. 5 indexed citations
11.
Darmawahyuni, Annisa, Siti Nurmaini, Muhammad Naufal Rachmatullah, et al.. (2022). Deep learning-based electrocardiogram rhythm and beat features for heart abnormality classification. PeerJ Computer Science. 8. e825–e825. 22 indexed citations
12.
Nurmaini, Siti, et al.. (2022). Weightless Neural Networks Face Recognition Learning Process for Binary Facial Pattern. Indonesian Journal of Electrical Engineering and Informatics (IJEEI). 10(4). 1 indexed citations
13.
Darmawahyuni, Annisa, et al.. (2020). Congestive heart failure waveform classification based on short time-step analysis with recurrent network. Informatics in Medicine Unlocked. 21. 100441–100441. 19 indexed citations
14.
Nurmaini, Siti, Alexander Edo Tondas, Annisa Darmawahyuni, et al.. (2020). Electrocardiogram signal classification for automated delineation using bidirectional long short-term memory. Informatics in Medicine Unlocked. 22. 100507–100507. 28 indexed citations
15.
Nurmaini, Siti, et al.. (2017). A New Swarm Source Seeking Behavior based-on Pattern Recognition Approach. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 9. 71–76. 3 indexed citations
16.
Nurmaini, Siti, et al.. (2016). Penerapan Metode Pelatihan Langsung (Doing by Learning) untuk Siswa SMA di Kecamatan Ilir Timur 1 Palembang. 2(2).
17.
Nurmaini, Siti, et al.. (2016). Pattern Recognition Approach for Swarm Robots Reactive Control with Fuzzy-Kohonen Networks and Particle Swarm Optimization Algorithm. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 8(3). 155–160. 7 indexed citations
18.
Tutuko, Bambang & Siti Nurmaini. (2014). Swarm Robots Communication-base Mobile Ad-Hoc Network (MANET). 1(1). 134–137. 4 indexed citations
19.
Nurmaini, Siti, et al.. (2014). Swarm Robots Control System based Fuzzy-PSO. Proceeding of the Electrical Engineering Computer Science and Informatics. 1(1). 72–75. 2 indexed citations
20.
Nurmaini, Siti, Siti Zaiton Mohd Hashim, & Dayang N. A. Jawawi. (2009). An Embedded Interval Type-2 Neuro-Fuzzy Controller for Intelligent Navigation of Mobile Robot.. 4315–4321. 1 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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