Mario Neukirch

15 total papers · 973 total citations
5 papers, 646 citations indexed

About

Mario Neukirch is a scholar working on Sociology and Political Science, Biochemistry and Political Science and International Relations. According to data from OpenAlex, Mario Neukirch has authored 5 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Sociology and Political Science, 3 papers in Biochemistry and 2 papers in Political Science and International Relations. Recurrent topics in Mario Neukirch's work include Environmental Science and Technology (3 papers), Social Acceptance of Renewable Energy (3 papers) and Renewable Energy and Sustainability (2 papers). Mario Neukirch is often cited by papers focused on Environmental Science and Technology (3 papers), Social Acceptance of Renewable Energy (3 papers) and Renewable Energy and Sustainability (2 papers). Mario Neukirch collaborates with scholars based in Germany and United Kingdom. Mario Neukirch's co-authors include Florian Kern, Josephine Mylan, Gerhard Fuchs, Sandra Wassermann, Frank W. Geels, Nele Hinderer and Gregor Kungl and has published in prestigious journals such as SHILAP Revista de lepidopterología, Research Policy and Energy Research & Social Science.

In The Last Decade

Mario Neukirch

5 papers receiving 619 citations

Hit Papers

The enactment of socio-te... 2016 2026 2019 2022 2016 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Mario Neukirch 324 245 137 109 92 5 646
Nele Hinderer 352 1.1× 254 1.0× 146 1.1× 110 1.0× 98 1.1× 5 664
Anna Johnson 176 0.5× 180 0.7× 257 1.9× 105 1.0× 124 1.3× 4 680
Richard Hoggett 293 0.9× 194 0.8× 177 1.3× 131 1.2× 170 1.8× 13 648
Håkon Endresen Normann 218 0.7× 149 0.6× 189 1.4× 45 0.4× 108 1.2× 21 592
Derek Spooner 276 0.9× 258 1.1× 142 1.0× 42 0.4× 68 0.7× 23 769
Karen Anderton 302 0.9× 179 0.7× 83 0.6× 36 0.3× 48 0.5× 15 734
Melf‐Hinrich Ehlers 150 0.5× 141 0.6× 117 0.9× 66 0.6× 78 0.8× 23 709
Conrad Kunze 264 0.8× 350 1.4× 59 0.4× 157 1.4× 63 0.7× 16 608
Ingrid Mignon 184 0.6× 232 0.9× 175 1.3× 162 1.5× 96 1.0× 24 710
Klaas van Alphen 150 0.5× 202 0.8× 112 0.8× 98 0.9× 87 0.9× 9 590

Countries citing papers authored by Mario Neukirch

Since Specialization
Citations

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

Fields of papers citing papers by Mario Neukirch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Neukirch

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