Daniel Nikovski

2.0k citations
119 papers · 1.4k · h-index 20

Impact in

Papers in

Daniel Nikovski

108 papers receiving 1.3k citations

Peers

Daniel Nikovski
Comparison fields: 5 of 110
  • Control and Systems Engineering 596
  • Building and Construction 207
  • Transportation 89
  • Signal Processing 118
  • Electrical and Electronic Engineering 532
Replace Abderrezak Rachedi with:
Abderrezak Rachedi France
Yasir Saleem Pakistan
Stelios Timotheou Cyprus
Darong Huang China
Kamalrulnizam Abu Bakar Malaysia
Muhammad Tariq Pakistan
Shen Wang Ireland
V. Petridis Greece
Jianguo Wang China
Daniel Nikovski relative to Abderrezak Rachedi France Abderrezak Rachedi's profile →
Citations per field
00.5×2.6×
Abderrezak Rachedi · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniel Nikovski, 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 Daniel Nikovski Line = papers co-authored together Daniel Nikovski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000146
2 2019103
3 201582
4 202175
5 200570
6 201249
7 201349
8 201546
9 201643
10
Decision-theoretic group elevator scheduling
200335
11 201632
12 200928
13 200427
14 201727
15 201327
16 201824
17 201722
18 200622
19 201722
20 201922

About Daniel Nikovski

Daniel Nikovski is a scholar working on Control and Systems Engineering, Artificial Intelligence, Electrical and Electronic Engineering, Building and Construction and Signal Processing, having authored 119 papers that have together received 1.4k indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (18 papers), Smart Grid Energy Management (13 papers), Microgrid Control and Optimization (13 papers), Reinforcement Learning in Robotics (12 papers), Power Systems Fault Detection (10 papers), Electric Power System Optimization (10 papers), Gaussian Processes and Bayesian Inference (10 papers) and Advanced Control Systems Optimization (10 papers). The work is most often cited by research in Control and Systems Engineering (596 citations), Building and Construction (207 citations), Transportation (89 citations), Signal Processing (118 citations) and Electrical and Electronic Engineering (532 citations). Daniel Nikovski has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Hongbo Sun, Matthew Brand, Diego Romeres, Devesh K. Jha, Kazuyuki Mori, Arvind U. Raghunathan, Makoto Imamura, Hiroyuki Hashimoto, Lorenz T. Biegler and Ajit Gopalakrishnan. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Smart Grid, Machine Learning, IEEE Transactions on Automatic Control and IEEE Transactions on Energy Conversion.

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.

Explore authors with similar magnitude of impact