Danil Prokhorov

8.6k citations
143 papers · 5.5k · 3 hit papers · h-index 33

Impact in

Papers in

Danil Prokhorov

136 papers receiving 5.3k citations

Danil Prokhorov's Hit Papers

Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection 2019 · 825 citations
8250+9+19Years since publication250500750

Peers

Danil Prokhorov
Comparison fields: 5 of 142
  • Computational Theory and Mathematics 1.3k
  • Automotive Engineering 785
  • Control and Systems Engineering 1.5k
  • Artificial Intelligence 1.8k
  • Computer Vision and Pattern Recognition 800
Replace Radu‐Emil Precup with:
Radu‐Emil Precup Romania
Emil M. Petriu Canada
Vladimir Stojanović Serbia
Shun‐Feng Su Taiwan
Marc Peter Deisenroth United Kingdom
Lixin Wang China
Hao Zhang China
Minrui Fei China
Jinhua She Japan
Fatma A. Hashim Egypt
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Danil Prokhorov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Danil Prokhorov Line = papers co-authored together Danil Prokhorov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Adaptive critic designs
Hit paper breakdown →
1997894
2
Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection
Hit paper breakdown →
2019825
3
Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning
Hit paper breakdown →
2018409
4 1998356
5 2016328
6 2000197
7 1995151
8 2013126
9 201595
10 200193
11 200287
12 200883
13 201583
14 200777
15 201475
16 201568
17 200966
18 201659
19 200655
20 200053

About Danil Prokhorov

Danil Prokhorov is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Automotive Engineering, having authored 143 papers that have together received 5.5k indexed citations. Recurring topics across this work include Neural Networks and Applications (34 papers), Adaptive Dynamic Programming Control (21 papers), Reinforcement Learning in Robotics (17 papers), Model Reduction and Neural Networks (14 papers), Fault Detection and Control Systems (13 papers), Adaptive Control of Nonlinear Systems (12 papers), Autonomous Vehicle Technology and Safety (11 papers) and Advanced Control Systems Optimization (11 papers). The work is most often cited by research in Computational Theory and Mathematics (1.3k citations), Automotive Engineering (785 citations), Control and Systems Engineering (1.5k citations), Artificial Intelligence (1.8k citations) and Computer Vision and Pattern Recognition (800 citations). Danil Prokhorov has collaborated with scholars based in United States, Switzerland and Russia. Frequent co-authors include Donald C. Wunsch, Xue Mei, Haibo He, Haibin Ling, Lei Zhang, Fan Yang, Sijia Yu, Dacheng Tao, Emad Saad and Ivan Tyukin. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Neural Networks, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Intelligent Vehicles and IEEE Transactions on Automatic Control.

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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