Martin Pötschke

25 total papers · 822 total citations
25 papers, 701 citations indexed

About

Martin Pötschke is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Experimental and Cognitive Psychology. According to data from OpenAlex, Martin Pötschke has authored 25 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Materials Chemistry, 17 papers in Electronic, Optical and Magnetic Materials and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Martin Pötschke's work include Shape Memory Alloy Transformations (21 papers), Magnetic and transport properties of perovskites and related materials (13 papers) and Magnetic Properties of Alloys (7 papers). Martin Pötschke is often cited by papers focused on Shape Memory Alloy Transformations (21 papers), Magnetic and transport properties of perovskites and related materials (13 papers) and Magnetic Properties of Alloys (7 papers). Martin Pötschke collaborates with scholars based in Germany, United States and China. Martin Pötschke's co-authors include S. Roth, L. Schultz, Uwe Gaitzsch, Bernd Rellinghaus, Daoyong Cong, Qiang Luo, R. Chulist, Werner Skrotzki, C.‐G. Oertel and N. Mattern and has published in prestigious journals such as Applied Physics Letters, Acta Materialia and Journal of Alloys and Compounds.

In The Last Decade

Martin Pötschke

24 papers receiving 683 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 Pötschke 676 452 164 46 25 25 701
Robert Niemann 774 1.1× 642 1.4× 198 1.2× 36 0.8× 41 1.6× 30 834
Uwe Gaitzsch 547 0.8× 382 0.8× 226 1.4× 33 0.7× 25 1.0× 30 713
J. Buschbeck 755 1.1× 637 1.4× 185 1.1× 33 0.7× 54 2.2× 21 832
R. Kainuma 847 1.3× 666 1.5× 236 1.4× 66 1.4× 5 0.2× 14 908
Dewei Zhao 700 1.0× 483 1.1× 260 1.6× 63 1.4× 5 0.2× 15 719
Y. Wu 649 1.0× 152 0.3× 397 2.4× 23 0.5× 10 0.4× 21 781
Lukáš Kadeřávek 759 1.1× 99 0.2× 224 1.4× 20 0.4× 6 0.2× 32 803
Robert Zarnetta 730 1.1× 179 0.4× 256 1.6× 15 0.3× 5 0.2× 17 819
Tae Hyun Nam 801 1.2× 98 0.2× 360 2.2× 21 0.5× 6 0.2× 27 866
Yuye Wu 408 0.6× 611 1.4× 274 1.7× 34 0.7× 2 0.1× 40 733

Countries citing papers authored by Martin Pötschke

Since Specialization
Citations

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

Fields of papers citing papers by Martin Pötschke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Pötschke

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