Margareta Lundin

14 total papers · 1.2k total citations
10 papers, 899 citations indexed

About

Margareta Lundin is a scholar working on Industrial and Manufacturing Engineering, Water Science and Technology and Biomedical Engineering. According to data from OpenAlex, Margareta Lundin has authored 10 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Industrial and Manufacturing Engineering, 3 papers in Water Science and Technology and 3 papers in Biomedical Engineering. Recurrent topics in Margareta Lundin's work include Wastewater Treatment and Reuse (6 papers), Subcritical and Supercritical Water Processes (2 papers) and Water Quality and Pollution Assessment (2 papers). Margareta Lundin is often cited by papers focused on Wastewater Treatment and Reuse (6 papers), Subcritical and Supercritical Water Processes (2 papers) and Water Quality and Pollution Assessment (2 papers). Margareta Lundin collaborates with scholars based in Sweden and United States. Margareta Lundin's co-authors include Sverker Molander, Magnus Bengtsson, Gregory M. Morrison, Mattias Olofsson, Ulrika Palme, Anne‐Marie Tillman, Morgan Fröling, Magdalena Svanström, John Ferguson and Jaakko A. Puhakka and has published in prestigious journals such as Environmental Science & Technology, Resources Conservation and Recycling and Water Science & Technology.

In The Last Decade

Margareta Lundin

9 papers receiving 815 citations

Author Peers

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

Author Last Decade Papers Cites
Margareta Lundin 587 282 246 113 106 10 899
Xin Ma 413 0.7× 276 1.0× 252 1.0× 100 0.9× 71 0.7× 25 883
Elena Friedrich 441 0.8× 238 0.8× 201 0.8× 94 0.8× 39 0.4× 20 717
Jos Frijns 338 0.6× 398 1.4× 151 0.6× 201 1.8× 83 0.8× 33 1.1k
Xiaobo Xue 291 0.5× 290 1.0× 312 1.3× 88 0.8× 48 0.5× 22 829
Erik Kärrman 410 0.7× 177 0.6× 174 0.7× 143 1.3× 87 0.8× 43 783
Darko Joksimovic 427 0.7× 392 1.4× 296 1.2× 125 1.1× 29 0.3× 40 885
Robin Harder 471 0.8× 157 0.6× 136 0.6× 26 0.2× 65 0.6× 34 856
Markus Starkl 540 0.9× 271 1.0× 162 0.7× 190 1.7× 96 0.9× 49 950
David R. Hokanson 158 0.3× 252 0.9× 101 0.4× 61 0.5× 82 0.8× 23 706
Serni Morera 545 0.9× 315 1.1× 272 1.1× 53 0.5× 19 0.2× 12 723

Countries citing papers authored by Margareta Lundin

Since Specialization
Citations

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

Fields of papers citing papers by Margareta Lundin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margareta Lundin. 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 Margareta Lundin. The network helps show where Margareta Lundin may publish in the future.

Co-authorship network of co-authors of Margareta Lundin

This figure shows the co-authorship network connecting the top 25 collaborators of Margareta Lundin. A scholar is included among the top collaborators of Margareta Lundin 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 Margareta Lundin. Margareta Lundin 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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