Mette Palitzsch Lund

9 total papers · 730 total citations
6 papers, 304 citations indexed

About

Mette Palitzsch Lund is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Spectroscopy. According to data from OpenAlex, Mette Palitzsch Lund has authored 6 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nature and Landscape Conservation, 3 papers in Global and Planetary Change and 2 papers in Spectroscopy. Recurrent topics in Mette Palitzsch Lund's work include Ecology and Vegetation Dynamics Studies (4 papers), Forest Management and Policy (2 papers) and Economic and Environmental Valuation (1 paper). Mette Palitzsch Lund is often cited by papers focused on Ecology and Vegetation Dynamics Studies (4 papers), Forest Management and Policy (2 papers) and Economic and Environmental Valuation (1 paper). Mette Palitzsch Lund collaborates with scholars based in Denmark and Germany. Mette Palitzsch Lund's co-authors include Carsten Rahbek, Jan H. Christensen, Lene Duedahl‐Olesen, Niels Strange, Inge Holm Jensen, Arne Staby, Matthias Bensch, Jürgen Hubbuch and Jacob Nielsen and has published in prestigious journals such as Journal of Chromatography A, Biological Conservation and Talanta.

In The Last Decade

Mette Palitzsch Lund

6 papers receiving 284 citations

Author Peers

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

Author						Papers	Cites
Mette Palitzsch Lund	100	76	76	70	67	6	304
Scott A. Pugh	49 0.5×	55 0.7×	137 1.8×	107 1.5×	8 0.1×	10	274
Rohan Shah	78 0.8×	83 1.1×	20 0.3×	79 1.1×	37 0.6×	13	297
Gabriela Chavarría	48 0.5×	74 1.0×	39 0.5×	64 0.9×	40 0.6×	13	324
Xiaoshan Wang	23 0.2×	17 0.2×	120 1.6×	78 1.1×	23 0.3×	10	341
William P. Gregg	135 1.4×	42 0.6×	42 0.6×	129 1.8×	33 0.5×	6	306
Françoise Lasserre‐Joulin	81 0.8×	34 0.4×	47 0.6×	82 1.2×	13 0.2×	9	321
Dongting Zou	138 1.4×	20 0.3×	114 1.5×	72 1.0×	27 0.4×	6	346
Bas Kooijman	56 0.6×	18 0.2×	103 1.4×	127 1.8×	14 0.2×	8	358
M. Arjunan	61 0.6×	16 0.2×	190 2.5×	106 1.5×	19 0.3×	10	337
Guocheng Zhang	246 2.5×	22 0.3×	68 0.9×	62 0.9×	86 1.3×	8	350

Countries citing papers authored by Mette Palitzsch Lund

Since Specialization

Citations

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

Fields of papers citing papers by Mette Palitzsch Lund

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mette Palitzsch Lund. 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 Mette Palitzsch Lund. The network helps show where Mette Palitzsch Lund may publish in the future.

Co-authorship network of co-authors of Mette Palitzsch Lund

This figure shows the co-authorship network connecting the top 25 collaborators of Mette Palitzsch Lund. A scholar is included among the top collaborators of Mette Palitzsch Lund 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 Mette Palitzsch Lund. Mette Palitzsch Lund 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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