M. Huber

29 total papers · 447 total citations
20 papers, 351 citations indexed

About

M. Huber is a scholar working on Computational Mechanics, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, M. Huber has authored 20 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Mechanics, 7 papers in Electrical and Electronic Engineering and 5 papers in Computer Networks and Communications. Recurrent topics in M. Huber's work include Fluid Dynamics Simulations and Interactions (9 papers), Lattice Boltzmann Simulation Studies (8 papers) and Fluid Dynamics and Heat Transfer (7 papers). M. Huber is often cited by papers focused on Fluid Dynamics Simulations and Interactions (9 papers), Lattice Boltzmann Simulation Studies (8 papers) and Fluid Dynamics and Heat Transfer (7 papers). M. Huber collaborates with scholars based in Germany, United States and Netherlands. M. Huber's co-authors include Ulrich Nieken, Erwin P. Rathgeb, Manuel Hopp‐Hirschler, S. M. Hassanizadeh, Nikolaos Karadimitriou, I. Zarikos, Daniel Weiskopf, Bernhard Eberhardt, Reza S. Abhari and W. Fischer and has published in prestigious journals such as Journal of Computational Physics, IEEE Communications Magazine and IEEE Journal on Selected Areas in Communications.

In The Last Decade

M. Huber

19 papers receiving 338 citations

Author Peers

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

Author						Papers	Cites
M. Huber	200	102	90	41	35	20	351
Zhigang Yu	258 1.3×	40 0.4×	47 0.5×	65 1.6×	8 0.2×	13	327
Fei Li	32 0.2×	63 0.6×	28 0.3×	11 0.3×	28 0.8×	21	350
Harun Taha Hayvaci	11 0.1×	133 1.3×	28 0.3×	16 0.4×	30 0.9×	28	383
F. Javier García	241 1.2×	189 1.9×	10 0.1×	23 0.6×	6 0.2×	27	321
Rui Liu	17 0.1×	64 0.6×	138 1.5×	17 0.4×	60 1.7×	31	301
Maxime Chinaud	168 0.8×	96 0.9×	9 0.1×	33 0.8×	12 0.3×	17	345
Shuai Shao	23 0.1×	207 2.0×	10 0.1×	15 0.4×	46 1.3×	23	304
Martin Kohout	195 1.0×	21 0.2×	19 0.2×	60 1.5×	38 1.1×	20	306
Junyao Tang	133 0.7×	199 2.0×	24 0.3×	43 1.0×	9 0.3×	28	391
Jean‐François Hétu	236 1.2×	35 0.3×	7 0.1×	11 0.3×	46 1.3×	26	344

Countries citing papers authored by M. Huber

Since Specialization

Citations

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

Fields of papers citing papers by M. Huber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Huber

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