Michaela Huhn

74 total papers · 483 total citations
31 papers, 151 citations indexed

About

Michaela Huhn is a scholar working on Computational Theory and Mathematics, Software and Artificial Intelligence. According to data from OpenAlex, Michaela Huhn has authored 31 papers receiving a total of 151 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Theory and Mathematics, 15 papers in Software and 12 papers in Artificial Intelligence. Recurrent topics in Michaela Huhn's work include Model-Driven Software Engineering Techniques (11 papers), Formal Methods in Verification (10 papers) and Advanced Software Engineering Methodologies (8 papers). Michaela Huhn is often cited by papers focused on Model-Driven Software Engineering Techniques (11 papers), Formal Methods in Verification (10 papers) and Advanced Software Engineering Methodologies (8 papers). Michaela Huhn collaborates with scholars based in Germany, Sweden and United States. Michaela Huhn's co-authors include Ursula Goltz, Thomas Gehrke, Peter Fritzson, Christian Schulze, Bernhard Rumpe⋆, Klaus Schneider, Jörg P. Müller, Niels Pinkwart, Jens Steiner and Malte Lochau and has published in prestigious journals such as SAE technical papers on CD-ROM/SAE technical paper series, Lecture notes in computer science and Science of Computer Programming.

In The Last Decade

Michaela Huhn

30 papers receiving 132 citations

Author Peers

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

Author Last Decade Papers Cites
Michaela Huhn 70 65 59 36 28 31 151
Kenneth Lausdahl 41 0.6× 81 1.2× 64 1.1× 23 0.6× 38 1.4× 28 208
A. A. Letichevsky 88 1.3× 49 0.8× 51 0.9× 20 0.6× 44 1.6× 30 198
Iulian Ober 66 0.9× 96 1.5× 79 1.3× 45 1.3× 15 0.5× 20 168
Joseph Porter 41 0.6× 55 0.8× 48 0.8× 65 1.8× 79 2.8× 22 208
Karl Palmskog 96 1.4× 91 1.4× 81 1.4× 22 0.6× 15 0.5× 23 224
Wanwei Liu 64 0.9× 48 0.7× 70 1.2× 44 1.2× 19 0.7× 37 186
Milan Češka 73 1.0× 79 1.2× 99 1.7× 40 1.1× 10 0.4× 26 218
Matthias Güdemann 63 0.9× 78 1.2× 63 1.1× 12 0.3× 18 0.6× 17 162
Jean-Paul Bodeveix 61 0.9× 68 1.0× 57 1.0× 38 1.1× 18 0.6× 26 141
Ehsan Khamespanah 66 0.9× 50 0.8× 92 1.6× 61 1.7× 15 0.5× 28 183

Countries citing papers authored by Michaela Huhn

Since Specialization
Citations

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

Fields of papers citing papers by Michaela Huhn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaela Huhn

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