Danil Prokhorov

8.5k total citations · 3 hit papers
143 papers, 5.4k citations indexed

About

Danil Prokhorov is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Danil Prokhorov has authored 143 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Artificial Intelligence, 45 papers in Control and Systems Engineering and 31 papers in Computational Theory and Mathematics. Recurrent topics in Danil Prokhorov's work include Neural Networks and Applications (34 papers), Adaptive Dynamic Programming Control (21 papers) and Reinforcement Learning in Robotics (17 papers). Danil Prokhorov is often cited by papers focused on Neural Networks and Applications (34 papers), Adaptive Dynamic Programming Control (21 papers) and Reinforcement Learning in Robotics (17 papers). Danil Prokhorov collaborates with scholars based in United States, Switzerland and Russia. Danil Prokhorov's co-authors include Donald C. Wunsch, Xue Mei, Haibo He, Haibin Ling, Dacheng Tao, Fan Yang, Lei Zhang, Sijia Yu, Emad Saad and Ivan Tyukin and has published in prestigious journals such as IEEE Transactions on Automatic Control, Scientific Reports and IEEE Transactions on Smart Grid.

In The Last Decade

Danil Prokhorov

136 papers receiving 5.2k citations

Hit Papers

Adaptive critic designs 1997 2026 2006 2016 1997 2019 2018 250 500 750
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. Adaptive critic designs
    1997 892 citations Danil Prokhorov, Donald C. Wunsch IEEE Transactions on Neural Networks profile →
  2. Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection
    2019 773 citations Fan Yang, Lei Zhang et al. IEEE Transactions on Intelligent Transportation Systems profile →
  3. Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning
    2018 403 citations Haibo He, Danil Prokhorov et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danil Prokhorov United States 33 1.8k 1.5k 1.3k 1.3k 795 143 5.4k
Marc Peter Deisenroth United Kingdom 26 2.9k 1.6× 1.9k 1.2× 634 0.5× 808 0.6× 858 1.1× 73 6.0k
Vladimir Stojanović Serbia 61 1.8k 1.0× 3.2k 2.1× 659 0.5× 758 0.6× 1.0k 1.3× 87 6.9k
Emil M. Petriu Canada 46 1.9k 1.1× 3.1k 2.1× 583 0.4× 1.2k 0.9× 1.8k 2.3× 508 8.2k
Shun‐Feng Su Taiwan 50 1.3k 0.8× 4.7k 3.1× 1.0k 0.8× 627 0.5× 722 0.9× 260 7.5k
Radu‐Emil Precup Romania 62 2.9k 1.6× 5.4k 3.6× 1.0k 0.8× 1.1k 0.8× 905 1.1× 400 9.1k
Meng Joo Er Singapore 51 2.8k 1.5× 3.6k 2.4× 652 0.5× 915 0.7× 1.3k 1.6× 304 8.3k
Yun Zhang China 48 974 0.5× 5.5k 3.7× 1.9k 1.4× 1.5k 1.2× 702 0.9× 464 8.8k
Hao Zhang China 50 1.6k 0.9× 5.6k 3.8× 768 0.6× 1.8k 1.4× 727 0.9× 632 9.8k
Minrui Fei China 39 1.4k 0.8× 2.9k 1.9× 526 0.4× 1.6k 1.2× 481 0.6× 329 5.9k
D. Simon United States 13 2.7k 1.5× 961 0.6× 977 0.7× 1.0k 0.8× 520 0.7× 33 4.8k

Countries citing papers authored by Danil Prokhorov

Since Specialization
Citations

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

Fields of papers citing papers by Danil Prokhorov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danil Prokhorov

This figure shows the co-authorship network connecting the top 25 collaborators of Danil Prokhorov. A scholar is included among the top collaborators of Danil Prokhorov 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 Danil Prokhorov. Danil Prokhorov 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.
Yu, Ziqi, et al.. (2024). Robust acoustic directional sensing enabled by synergy between resonator-based sensor and deep learning. Scientific Reports. 14(1). 10148–10148. 2 indexed citations
2.
Yaghoubi, Shakiba, et al.. (2021). Risk-bounded Control using Stochastic Barrier Functions. 1131–1136. 3 indexed citations
3.
Kimpara, Hideyuki, et al.. (2020). Force Anticipation and Its Potential Implications on Feedforward and Feedback Human Motor Control. Human Factors The Journal of the Human Factors and Ergonomics Society. 63(4). 647–662. 3 indexed citations
4.
Kimpara, Hideyuki, et al.. (2019). Human Model-Based Active Driving System in Vehicular Dynamic Simulation. IEEE Transactions on Intelligent Transportation Systems. 21(5). 1903–1914. 5 indexed citations
5.
Yang, Fan, Lei Zhang, Sijia Yu, et al.. (2019). Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection. IEEE Transactions on Intelligent Transportation Systems. 21(4). 1525–1535. 773 indexed citations breakdown →
6.
Di, Shuai, Honggang Zhang, Chun-Guang Li, et al.. (2017). Cross-Domain Traffic Scene Understanding: A Dense Correspondence-Based Transfer Learning Approach. IEEE Transactions on Intelligent Transportation Systems. 19(3). 745–757. 35 indexed citations
7.
Tsai, Yi‐Hsuan, et al.. (2017). Learning to tell brake and turn signals in videos using CNN-LSTM structure. 1–6. 16 indexed citations
8.
Christensen, Andy, et al.. (2015). Key considerations in the development of driving automation systems. 11 indexed citations
9.
Ni, Zhen, Haibo He, Danil Prokhorov, & Jian Fu. (2011). An online actor-critic learning approach with Levenberg-Marquardt algorithm. Journal of Media Literacy Education. 2333–2340. 9 indexed citations
10.
Prokhorov, Danil. (2010). Multi-agent framework for remote diagnostics. 1–8. 3 indexed citations
11.
Prokhorov, Danil. (2010). A Convolutional Learning System for Object Classification in 3-D Lidar Data. IEEE Transactions on Neural Networks. 21(5). 858–863. 43 indexed citations
12.
Namburu, Setu Madhavi, et al.. (2008). KDD and Its Applications in Automotive Sector - A Brief Survey.. 335–341. 1 indexed citations
13.
Prokhorov, Danil. (2007). Training Recurrent Neurocontrollers for Real-Time Applications. IEEE Transactions on Neural Networks. 18(4). 1003–1015. 35 indexed citations
14.
Prokhorov, Danil, et al.. (2005). A model of evolution and learning. Neural Networks. 18(5-6). 738–745. 12 indexed citations
15.
Feldkamp, L.A., et al.. (2003). Simple and conditioned adaptive behavior from Kalman filter trained recurrent networks☆. Neural Networks. 16(5-6). 683–689. 51 indexed citations
16.
Tyukin, Ivan, Cees van Leeuwen, & Danil Prokhorov. (2002). Parameter Estimation of Sigmoid Superpositions. arXiv (Cornell University).
17.
Barabanov, Nikita & Danil Prokhorov. (2002). Stability analysis of discrete-time recurrent neural networks. IEEE Transactions on Neural Networks. 13(2). 292–303. 87 indexed citations
18.
Petrosian, A., et al.. (2001). Recurrent neural network-based approach for early recognition of Alzheimer's disease in EEG. Clinical Neurophysiology. 112(8). 1378–1387. 92 indexed citations
19.
Eaton, Paul, Danil Prokhorov, & Donald C. Wunsch. (2000). Neurocontroller alternatives for "fuzzy" ball-and-beam systems with nonuniform nonlinear friction. IEEE Transactions on Neural Networks. 11(2). 423–435. 53 indexed citations
20.
Prokhorov, Danil & Donald C. Wunsch. (1997). Adaptive critic designs. IEEE Transactions on Neural Networks. 8(5). 997–1007. 892 indexed citations breakdown →

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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