J.E. Daalder

59 total papers · 2.3k total citations
45 papers, 1.8k citations indexed

About

J.E. Daalder is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Control and Systems Engineering. According to data from OpenAlex, J.E. Daalder has authored 45 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 20 papers in Atomic and Molecular Physics, and Optics and 17 papers in Control and Systems Engineering. Recurrent topics in J.E. Daalder's work include Vacuum and Plasma Arcs (19 papers), Power System Optimization and Stability (11 papers) and Power Systems Fault Detection (8 papers). J.E. Daalder is often cited by papers focused on Vacuum and Plasma Arcs (19 papers), Power System Optimization and Stability (11 papers) and Power Systems Fault Detection (8 papers). J.E. Daalder collaborates with scholars based in Sweden, Netherlands and United Kingdom. J.E. Daalder's co-authors include Mattias Jönsson, Kankar Bhattacharya, Math Bollen, Miroslav M. Begovic, A. Sannino, Ferry A. Viawan, Lê Anh Tuấn, Evert Agneholm, Daniel Karlsson and Roberto Chouhy Leborgne and has published in prestigious journals such as IEEE Transactions on Power Systems, Journal of Physics D Applied Physics and IEEE Transactions on Power Delivery.

In The Last Decade

J.E. Daalder

44 papers receiving 1.6k citations

Author Peers

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

Author						Papers	Cites
J.E. Daalder	1.1k	860	590	414	337	45	1.8k
A. Greenwood	1.3k 1.2×	636 0.7×	154 0.3×	485 1.2×	187 0.6×	45	1.7k
M. Runde	966 0.9×	222 0.3×	105 0.2×	319 0.8×	387 1.1×	76	1.5k
Jiangquan Zhang	1.0k 0.9×	521 0.6×	129 0.2×	327 0.8×	207 0.6×	18	1.5k
B. Hahn	635 0.6×	381 0.4×	127 0.2×	262 0.6×	100 0.3×	53	1.3k
Jean‐Claude Sabonnadière	1.5k 1.4×	168 0.2×	186 0.3×	651 1.6×	400 1.2×	93	1.9k
Paul G. Slade	1.6k 1.5×	1.5k 1.8×	293 0.5×	177 0.4×	832 2.5×	81	2.2k
Jiu Dun Yan	1.4k 1.2×	909 1.1×	294 0.5×	569 1.4×	448 1.3×	106	2.3k
R.P.P. Smeets	1.2k 1.1×	736 0.9×	56 0.1×	282 0.7×	170 0.5×	100	1.4k
V.V. Rao	398 0.4×	102 0.1×	119 0.2×	236 0.6×	226 0.7×	96	1.5k
Massimo Guiggiani	527 0.5×	450 0.5×	1.3k 2.2×	304 0.7×	871 2.6×	73	2.4k

Countries citing papers authored by J.E. Daalder

Since Specialization

Citations

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

Fields of papers citing papers by J.E. Daalder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.E. Daalder. 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 J.E. Daalder. The network helps show where J.E. Daalder may publish in the future.

Co-authorship network of co-authors of J.E. Daalder

This figure shows the co-authorship network connecting the top 25 collaborators of J.E. Daalder. A scholar is included among the top collaborators of J.E. Daalder 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 J.E. Daalder. J.E. Daalder 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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