Martin de Groot

27 total papers · 648 total citations
18 papers, 501 citations indexed

About

Martin de Groot is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Martin de Groot has authored 18 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 7 papers in Control and Systems Engineering and 2 papers in Computer Networks and Communications. Recurrent topics in Martin de Groot's work include Smart Grid Energy Management (10 papers), Electric Power System Optimization (6 papers) and Smart Grid Security and Resilience (5 papers). Martin de Groot is often cited by papers focused on Smart Grid Energy Management (10 papers), Electric Power System Optimization (6 papers) and Smart Grid Security and Resilience (5 papers). Martin de Groot collaborates with scholars based in Australia, China and Canada. Martin de Groot's co-authors include Michael Negnevitsky, Duy Thanh Nguyen, Chen Wang, Thanh D. Nguyen, Klaas Hartmann, J. R. McCulloch, Greg Timms, Zhiyuan Zeng, Yan Chen and Ren Ping Liu and has published in prestigious journals such as IEEE Transactions on Power Systems, IEEE Transactions on Smart Grid and Mobile Networks and Applications.

In The Last Decade

Martin de Groot

18 papers receiving 481 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Martin de Groot 422 180 81 29 28 18 501
Yile Liang 379 0.9× 106 0.6× 45 0.6× 21 0.7× 10 0.4× 18 461
Keith Malmedal 279 0.7× 246 1.4× 46 0.6× 13 0.4× 29 1.0× 34 461
Chunlei Ji 271 0.6× 86 0.5× 51 0.6× 37 1.3× 55 2.0× 27 550
Rui Huang 335 0.8× 116 0.6× 36 0.4× 48 1.7× 29 1.0× 28 454
Shuheng Chen 421 1.0× 254 1.4× 19 0.2× 26 0.9× 13 0.5× 28 611
Arthur P. S. Braga 285 0.7× 120 0.7× 97 1.2× 16 0.6× 90 3.2× 31 520
Jinrong Zhu 369 0.9× 124 0.7× 34 0.4× 42 1.4× 13 0.5× 20 493
Kaiping Qu 516 1.2× 193 1.1× 31 0.4× 33 1.1× 20 0.7× 28 571
Stéphane Thil 189 0.4× 131 0.7× 159 2.0× 12 0.4× 23 0.8× 39 515
Qingchun Hou 493 1.2× 209 1.2× 61 0.8× 56 1.9× 12 0.4× 18 584

Countries citing papers authored by Martin de Groot

Since Specialization
Citations

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

Fields of papers citing papers by Martin de Groot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin de Groot. 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 Martin de Groot. The network helps show where Martin de Groot may publish in the future.

Co-authorship network of co-authors of Martin de Groot

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

All Works

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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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