Daniel Nikovski

2.0k citations
114 papers · 1.2k · h-index 19

Impact in

Papers in

Daniel Nikovski

103 papers receiving 1.2k citations

Peers

Daniel Nikovski
Comparison fields: 5 of 107
  • Control and Systems Engineering 536
  • Building and Construction 194
  • Transportation 84
  • Signal Processing 98
  • Artificial Intelligence 278
Replace Abderrezak Rachedi with:
Abderrezak Rachedi France
Muhammad Tariq Pakistan
Darong Huang China
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Stelios Timotheou Cyprus
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Citations per field
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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 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000126
2 2019100
3 201575
4 202174
5 200568
6 201249
7 201545
8 201638
9 201630
10
Decision-theoretic group elevator scheduling
200329
11 200927
12 201726
13 201326
14 201823
15 201722
16 200421
17 201921
18 201118
19 201718
20 201117

About Daniel Nikovski

Daniel Nikovski is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Artificial Intelligence, Building and Construction and Signal Processing, having authored 114 papers that have together received 1.2k 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), Advanced Control Systems Optimization (10 papers), Islanding Detection in Power Systems (10 papers), Power Systems Fault Detection (10 papers) and Electric Power System Optimization (10 papers). The work is most often cited by research in Control and Systems Engineering (536 citations), Building and Construction (194 citations), Transportation (84 citations), Signal Processing (98 citations) and Artificial Intelligence (278 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, Lorenz T. Biegler, Arvind U. Raghunathan, Hiroyuki Hashimoto, Ajit Gopalakrishnan and Makoto Imamura. Their work appears in journals such as IEEE Transactions on Smart Grid, IEEE Robotics and Automation Letters, Machine Learning, IEEE Transactions on Robotics and International Journal of Prognostics and Health Management.

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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