Daniel Nikovski

2.0k total citations
114 papers, 1.2k citations indexed

About

Daniel Nikovski is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Daniel Nikovski has authored 114 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Control and Systems Engineering, 39 papers in Electrical and Electronic Engineering and 37 papers in Artificial Intelligence. Recurrent topics in Daniel Nikovski's work include Optimal Power Flow Distribution (18 papers), Microgrid Control and Optimization (13 papers) and Smart Grid Energy Management (13 papers). Daniel Nikovski is often cited by papers focused on Optimal Power Flow Distribution (18 papers), Microgrid Control and Optimization (13 papers) and Smart Grid Energy Management (13 papers). Daniel Nikovski collaborates with scholars based in United States, Japan and Germany. Daniel Nikovski's co-authors include Hongbo Sun, Matthew Brand, Diego Romeres, Devesh K. Jha, Hiroyuki Hashimoto, Arvind U. Raghunathan, Ajit Gopalakrishnan, Lorenz T. Biegler, Kazuyuki Mori and Makoto Imamura and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Smart Grid and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Daniel Nikovski

102 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Nikovski United States	19	528	460	274	194	97	114	1.2k
Darong Huang China	19	457 0.9×	350 0.8×	286 1.0×	83 0.4×	178 1.8×	176	1.2k
Shen Wang Ireland	15	213 0.4×	422 0.9×	200 0.7×	199 1.0×	154 1.6×	67	1.2k
Yinguo Li China	18	661 1.3×	279 0.6×	156 0.6×	263 1.4×	102 1.1×	57	1.1k
Peter Hellinckx Belgium	17	162 0.3×	251 0.5×	144 0.5×	312 1.6×	83 0.9×	91	1.2k
V. Petridis Greece	23	458 0.9×	948 2.1×	626 2.3×	66 0.3×	155 1.6×	70	2.0k
Philippe Thomas France	15	1.2k 2.2×	481 1.0×	203 0.7×	73 0.4×	28 0.3×	55	1.9k
Antoni Morell Spain	19	167 0.3×	563 1.2×	174 0.6×	121 0.6×	84 0.9×	84	1.2k
Hesham El‐Sayed United Arab Emirates	18	192 0.4×	433 0.9×	180 0.7×	123 0.6×	146 1.5×	95	1.2k
Xuewu Dai China	18	788 1.5×	433 0.9×	299 1.1×	36 0.2×	54 0.6×	86	1.6k
Peng Sun Canada	22	369 0.7×	543 1.2×	231 0.8×	432 2.2×	231 2.4×	105	1.5k

Countries citing papers authored by Daniel Nikovski

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Nikovski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Nikovski

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Nikovski. A scholar is included among the top collaborators of Daniel Nikovski 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 Daniel Nikovski. Daniel Nikovski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zhong, Jin‐Hui, Daniel Nikovski, William Yerazunis, & Toshio Ando. (2024). Learning Time-Optimal Control of Gantry Cranes. 945–950.

Yerazunis, William, et al.. (2023). Learning Object Manipulation With Under-Actuated Impulse Generator Arrays. 710–717.

Jha, Devesh K., et al.. (2023). Constrained Dynamic Movement Primitives for Collision Avoidance in Novel Environments. 3672–3679.

Antonello, Riccardo, et al.. (2022). Model-Based Policy Search Using Monte Carlo Gradient Estimation With Real Systems Application. IEEE Transactions on Robotics. 38(6). 3879–3898. 13 indexed citations

Romeres, Diego, et al.. (2022). Transfer Learning for Bayesian Optimization with Principal Component Analysis.

Paschalidis, Ioannis Ch., et al.. (2022). Context-Aware Destination and Time-To-Destination Prediction Using Machine learning. OpenBU (Boston University). 1–7. 2 indexed citations

Jha, Devesh K., Diego Romeres, Jeroen van Baar, et al.. (2021). Data-Efficient Learning for Complex and Real-Time Physical Problem Solving Using Augmented Simulation. IEEE Robotics and Automation Letters. 6(2). 4241–4248. 12 indexed citations

Romeres, Diego, et al.. (2020). Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements. IEEE Robotics and Automation Letters. 5(2). 3548–3555. 11 indexed citations

Jha, Devesh K., et al.. (2020). Deep Reactive Planning in Dynamic Environments. Tokyo Tech Research Repository (Tokyo Institute of Technology). 1943–1957. 1 indexed citations

10.

Zhang, Wenyu, et al.. (2019). Multi-label Prediction in Time Series Data using Deep Neural Networks. International Journal of Prognostics and Health Management. 10(4). 1 indexed citations

11.

Romeres, Diego, et al.. (2019). Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze. Research Padua Archive (University of Padua). 15 indexed citations

12.

Farahmand, Amir‐massoud, Sepideh Pourazarm, & Daniel Nikovski. (2017). Random Projection Filter Bank for Time Series Data.. PolyPublie (École Polytechnique de Montréal). 30. 6562–6572. 1 indexed citations

13.

Farahmand, Amir massoud, André Barreto, & Daniel Nikovski. (2017). Value-Aware Loss Function for Model-based Reinforcement Learning. PolyPublie (École Polytechnique de Montréal). 1486–1494. 7 indexed citations

14.

Nikovski, Daniel, et al.. (2016). Regularized covariance matrix estimation with high dimensional data for supervised anomaly detection problems. 2811–2818. 4 indexed citations

15.

Nikovski, Daniel, et al.. (2015). Electricity theft detection using smart meter data. 1–5. 73 indexed citations

16.

Wang, Yishen, et al.. (2015). Flex-Grid: A dynamic and adaptive configurable power distribution system. 1–6. 5 indexed citations

17.

Geng, Yanfeng, et al.. (2013). Predicting link travel times from floating car data. 2. 1756–1763. 10 indexed citations

18.

Sun, Hongbo, et al.. (2012). A Hybrid Decoupled Power Flow Method for Balanced Power Distribution Systems. Journal of Electronic Science and Technology. 10(1). 15–21. 2 indexed citations

19.

Nikovski, Daniel & Matthew Brand. (2003). Decision-theoretic group elevator scheduling. International Conference on Automated Planning and Scheduling. 133–142. 29 indexed citations

20.

Nikovski, Daniel & Illah Nourbakhsh. (2000). Learning Probabilistic Models for Decision-Theoretic Navigation of Mobile Robots. International Conference on Machine Learning. 22(33). 671–678. 12 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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