Ildar Rakhmatulin

495 total citations · 1 hit paper
33 papers, 281 citations indexed

About

Ildar Rakhmatulin is a scholar working on Cognitive Neuroscience, Plant Science and Human-Computer Interaction. According to data from OpenAlex, Ildar Rakhmatulin has authored 33 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 6 papers in Plant Science and 5 papers in Human-Computer Interaction. Recurrent topics in Ildar Rakhmatulin's work include EEG and Brain-Computer Interfaces (10 papers), Gaze Tracking and Assistive Technology (5 papers) and Weed Control and Herbicide Applications (3 papers). Ildar Rakhmatulin is often cited by papers focused on EEG and Brain-Computer Interfaces (10 papers), Gaze Tracking and Assistive Technology (5 papers) and Weed Control and Herbicide Applications (3 papers). Ildar Rakhmatulin collaborates with scholars based in Russia, United Kingdom and Denmark. Ildar Rakhmatulin's co-authors include Christian Andreasen, Andreas Kamilaris, Andrew T. Duchowski, Danilo P. Mandic, Minh-Son Dao, Mathieu Lihoreau, Mustafa Suphi Erden, Christos Papavassiliou, Richard Carter and M. J. Daniel Esser and has published in prestigious journals such as Experimental Brain Research, Sensors and Remote Sensing.

In The Last Decade

Ildar Rakhmatulin

31 papers receiving 275 citations

Hit Papers

Exploring Convolutional Neural Network Architectures for ... 2024 2026 2025 2024 10 20 30 40
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Exploring Convolutional Neural Network Architectures for EEG Feature Extraction
    2024 43 citations Ildar Rakhmatulin, Minh-Son Dao et al. Sensors profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ildar Rakhmatulin Russia 9 112 73 29 29 25 33 281
Chenghang Du China 14 98 0.9× 156 2.1× 31 1.1× 14 0.5× 13 0.5× 40 470
Nicolas‐Alexander Tatlas Greece 10 60 0.5× 24 0.3× 27 0.9× 15 0.5× 14 0.6× 36 284
Xiaomin Ji China 11 49 0.4× 333 4.6× 13 0.4× 47 1.6× 57 2.3× 25 556
Farruk Ahmed Bangladesh 8 142 1.3× 21 0.3× 16 0.6× 11 0.4× 54 2.2× 29 305
Ronaldo Martins da Costa Brazil 11 47 0.4× 44 0.6× 24 0.8× 59 2.0× 15 0.6× 40 306
József Sütő Hungary 12 60 0.5× 28 0.4× 13 0.4× 10 0.3× 94 3.8× 29 399
Valeria Tomaselli Italy 10 160 1.4× 20 0.3× 25 0.9× 9 0.3× 26 1.0× 30 321
Ali Alameer United Kingdom 9 33 0.3× 79 1.1× 11 0.4× 23 0.8× 37 1.5× 24 384
Dani Martínez Spain 11 197 1.8× 6 0.1× 68 2.3× 18 0.6× 20 0.8× 23 464
Shanu Sharma India 10 129 1.2× 18 0.2× 18 0.6× 41 1.4× 37 1.5× 37 374

Countries citing papers authored by Ildar Rakhmatulin

Since Specialization
Citations

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

Fields of papers citing papers by Ildar Rakhmatulin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ildar Rakhmatulin

This figure shows the co-authorship network connecting the top 25 collaborators of Ildar Rakhmatulin. A scholar is included among the top collaborators of Ildar Rakhmatulin 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 Ildar Rakhmatulin. Ildar Rakhmatulin 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.
Rakhmatulin, Ildar, et al.. (2024). Exploring Convolutional Neural Network Architectures for EEG Feature Extraction. Sensors. 24(3). 877–877. 43 indexed citations breakdown →
2.
Andreasen, Christian, et al.. (2024). Weed control with laser beams: An eco-friendly alternative to herbicides and mechanical weed control. AIP conference proceedings. 3042. 40001–40001. 2 indexed citations
3.
Robb, David A., Ben Mills, Ildar Rakhmatulin, et al.. (2024). Three Approaches to the Automation of Laser System Alignment and Their Resource Implications: A Case Study. ePrints Soton (University of Southampton). 296–303.
4.
Rakhmatulin, Ildar, et al.. (2023). A review of automation of laser optics alignment with a focus on machine learning applications. Optics and Lasers in Engineering. 173. 107923–107923. 8 indexed citations
5.
Rakhmatulin, Ildar, et al.. (2023). Addressing Shortcomings in Manual Alignment of Laser Optics via Automation Tools. 1–6. 1 indexed citations
6.
Rakhmatulin, Ildar, Andreas Kamilaris, & Christian Andreasen. (2021). Deep Neural Networks to Detect Weeds from Crops in Agricultural Environments in Real-Time: A Review. Remote Sensing. 13(21). 4486–4486. 54 indexed citations
7.
Rakhmatulin, Ildar, et al.. (2021). Low-cost brain computer interface for everyday use. Experimental Brain Research. 239(12). 3573–3583. 5 indexed citations
8.
Rakhmatulin, Ildar, et al.. (2021). Review Dry and Non-Contact EEG Electrodes for 2010-2021 Years. Preprints.org. 4 indexed citations
9.
Rakhmatulin, Ildar, et al.. (2021). Review Dry and Non-contact EEG Electrodes for 2010-2021 years. SSRN Electronic Journal. 3 indexed citations
10.
Rakhmatulin, Ildar. (2021). Increasing FPS for Single Board Computers and Embedded Computers in 2021 (Jetson Nano and YOVOv4-Tiny). SSRN Electronic Journal. 2 indexed citations
11.
Rakhmatulin, Ildar, et al.. (2021). Low-Cost Stereovision System (Disparity Map) For Few Dollars. Preprints.org. 2 indexed citations
12.
Rakhmatulin, Ildar & Christian Andreasen. (2020). A Concept of a Compact and Inexpensive Device for Controlling Weeds with Laser Beams. Agronomy. 10(10). 1616–1616. 33 indexed citations
13.
Rakhmatulin, Ildar. (2020). Review of Neural Networks in the EEG Signal Recognition. SSRN Electronic Journal. 1 indexed citations
14.
Rakhmatulin, Ildar & Andrew T. Duchowski. (2020). Deep Neural Networks for Low-Cost Eye Tracking. Procedia Computer Science. 176. 685–694. 26 indexed citations
15.
Rakhmatulin, Ildar. (2020). A Review of the Low-Cost Eye-Tracking Systems for 2010-2020. SSRN Electronic Journal. 7 indexed citations
16.
Rakhmatulin, Ildar. (2020). Review of Neural Networks in the EEG Signal Recognition. Preprints.org. 2 indexed citations
17.
Rakhmatulin, Ildar. (2020). The electronic board to replace the reference voltage on the earlobe for EEG measurement. Measurement. 173. 108673–108673. 4 indexed citations
18.
Rakhmatulin, Ildar. (2020). Review of EEG feature selection by neural networks. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
19.
Rakhmatulin, Ildar. (2020). Review of EEG Feature Selection by Neural Networks. SSRN Electronic Journal. 5 indexed citations
20.
Rakhmatulin, Ildar. (2020). A review of the low-cost eye-tracking systems for 2010-2020. Zenodo (CERN European Organization for Nuclear Research). 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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