Daniel Nikovski

79 papers and 714 indexed citations i.

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 79 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Control and Systems Engineering, 28 papers in Electrical and Electronic Engineering and 28 papers in Artificial Intelligence. Recurrent topics in Daniel Nikovski’s work include Optimal Power Flow Distribution (14 papers), Reinforcement Learning in Robotics (12 papers) and Microgrid Control and Optimization (11 papers). Daniel Nikovski is often cited by papers focused on Optimal Power Flow Distribution (14 papers), Reinforcement Learning in Robotics (12 papers) and Microgrid Control and Optimization (11 papers). Daniel Nikovski collaborates with scholars based in United States, Japan and Italy. Daniel Nikovski's co-authors include Hongbo Sun, Diego Romeres, Devesh K. Jha, Hiroyuki Hashimoto, Kazuyuki Mori, Hanchen Xu, Matthew Brand, Ankur Jain, Yan Zhu and Zafer Şahinoğlu and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Smart Grid and Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Daniel Nikovski i

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.

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).

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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2025