Nina Gunkelmann

70 total papers · 1.0k total citations
44 papers, 825 citations indexed

About

Nina Gunkelmann is a scholar working on Materials Chemistry, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, Nina Gunkelmann has authored 44 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Materials Chemistry, 20 papers in Mechanical Engineering and 10 papers in Computational Mechanics. Recurrent topics in Nina Gunkelmann's work include Microstructure and mechanical properties (15 papers), High-pressure geophysics and materials (10 papers) and Granular flow and fluidized beds (8 papers). Nina Gunkelmann is often cited by papers focused on Microstructure and mechanical properties (15 papers), High-pressure geophysics and materials (10 papers) and Granular flow and fluidized beds (8 papers). Nina Gunkelmann collaborates with scholars based in Germany, Argentina and United States. Nina Gunkelmann's co-authors include Herbert M. Urbassek, Eduardo M. Bringa, Carlos J. Ruestes, Diego Tramontina, Thorsten Pöschel, Graeme J. Ackland, Keonwook Kang, Yudi Rosandi, Hassel Ledbetter and Iyad Alabd Alhafez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Journal of Applied Physics.

In The Last Decade

Nina Gunkelmann

42 papers receiving 798 citations

Author Peers

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

Author						Papers	Cites
Nina Gunkelmann	549	428	193	172	104	44	825
William H. Gourdin	457 0.8×	283 0.7×	187 1.0×	135 0.8×	113 1.1×	41	736
Douglas W. Templeton	584 1.1×	256 0.6×	326 1.7×	150 0.9×	86 0.8×	43	930
Richard Hugo	450 0.8×	340 0.8×	210 1.1×	87 0.5×	52 0.5×	31	785
Jonathan Amodeo	508 0.9×	265 0.6×	142 0.7×	181 1.1×	63 0.6×	39	764
A. Sollier	310 0.6×	260 0.6×	286 1.5×	189 1.1×	210 2.0×	57	786
C. E. Wehrenberg	508 0.9×	239 0.6×	191 1.0×	244 1.4×	110 1.1×	27	736
Fujiu Ke	569 1.0×	397 0.9×	362 1.9×	86 0.5×	57 0.5×	58	1.0k
R. Michael Banish	352 0.6×	391 0.9×	86 0.4×	68 0.4×	138 1.3×	25	741
Erhard Kaschnitz	336 0.6×	629 1.5×	190 1.0×	69 0.4×	111 1.1×	55	1.0k
Meizhen Xiang	720 1.3×	335 0.8×	408 2.1×	185 1.1×	144 1.4×	54	911

Countries citing papers authored by Nina Gunkelmann

Since Specialization

Citations

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

Fields of papers citing papers by Nina Gunkelmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Gunkelmann

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