H. M�ller

14 total papers · 432 total citations
12 papers, 307 citations indexed

About

H. M�ller is a scholar working on Computational Theory and Mathematics, Global and Planetary Change and Paleontology. According to data from OpenAlex, H. M�ller has authored 12 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Theory and Mathematics, 4 papers in Global and Planetary Change and 2 papers in Paleontology. Recurrent topics in H. M�ller's work include Advanced Graph Theory Research (3 papers), Marine Invertebrate Physiology and Ecology (2 papers) and Radioactive contamination and transfer (2 papers). H. M�ller is often cited by papers focused on Advanced Graph Theory Research (3 papers), Marine Invertebrate Physiology and Ecology (2 papers) and Radioactive contamination and transfer (2 papers). H. M�ller collaborates with scholars based in Germany, Netherlands and Switzerland. H. M�ller's co-authors include Thomas Heeger, G. Voigt, Dieter Kratsch, Ton Kloks, I. Schmitz-Feuerhake, Hajo Broersma, H. G. Paretzke, D. Regulla, Daniel Berg and Andreas Huck and has published in prestigious journals such as Marine Biology, Die Naturwissenschaften and Networks.

In The Last Decade

H. M�ller

11 papers receiving 269 citations

Author Peers

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

Author						Papers	Cites
H. M�ller	172	101	90	83	40	12	307
C. Edwards	156 0.9×	110 1.1×	159 1.8×	134 1.6×		22	317
Robert H. Brewer	216 1.3×	158 1.6×	118 1.3×	93 1.1×		7	300
J. H. Fraser	99 0.6×	115 1.1×	34 0.4×	128 1.5×		17	242
Otto Müller Patrão de Oliveira	153 0.9×	120 1.2×	23 0.3×	138 1.7×		19	214
Luis Martell	120 0.7×	116 1.1×	31 0.3×	69 0.8×		19	262
John C. Grimmer	111 0.6×	68 0.7×	14 0.2×	192 2.3×		12	344
Stefanie Pontasch	95 0.6×	69 0.7×	22 0.2×	169 2.0×		11	360
Marco Pansera	71 0.4×	129 1.3×	29 0.3×	133 1.6×	1 0.0×	20	313
Ada Alamaru	77 0.4×	148 1.5×	14 0.2×	143 1.7×		8	276
R. Cattaneo Vietti	64 0.4×	133 1.3×	12 0.1×	112 1.3×		7	221

Countries citing papers authored by H. M�ller

Since Specialization

Citations

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

Fields of papers citing papers by H. M�ller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. M�ller. 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 H. M�ller. The network helps show where H. M�ller may publish in the future.

Co-authorship network of co-authors of H. M�ller

This figure shows the co-authorship network connecting the top 25 collaborators of H. M�ller. A scholar is included among the top collaborators of H. M�ller 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 H. M�ller. H. M�ller 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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