Matthias Böhm

1.3k citations
39 papers · 1.1k · h-index 15

Impact in

Papers in

Matthias Böhm

36 papers receiving 1.1k citations

Peers

Matthias Böhm
Comparison fields: 5 of 103
  • Biotechnology 123
  • Organic Chemistry 294
  • Polymers and Plastics 127
  • Condensed Matter Physics 106
  • Electronic, Optical and Magnetic Materials 131
Replace Koichi Kondo with:
Koichi Kondo Japan
Yuan Tian China
Hung‐Yi Lin Taiwan
Ying Zeng China
Cheng‐Wei Lee Taiwan
Ge Xu China
Wennan Xiong China
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Wonseok Hwang South Korea
Kyung Rok Kim South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Matthias Böhm

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Böhm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matthias Böhm, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthias Böhm Line = papers co-authored together Matthias Böhm links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002302
2 2017272
3 202055
4 201748
5 201843
6 200039
7
SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs.
201428
8 200628
9 200126
10
Efficient In-Memory Indexing with Generalized Prefix Trees.
201125
11 200325
12 200323
13 200922
14 201321
15 201714
16 200613
17 200412
18 201411
19 20088
20
Towards Self-Optimization of Message Transformation Processes
20078

About Matthias Böhm

Matthias Böhm is a scholar working on Computer Networks and Communications, Signal Processing, Biomedical Engineering, Organic Chemistry and Molecular Biology, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (6 papers), Blind Source Separation Techniques (5 papers), Business Process Modeling and Analysis (4 papers), Service-Oriented Architecture and Web Services (4 papers), Carbohydrate Chemistry and Synthesis (4 papers), Spectroscopy and Chemometric Analyses (3 papers), Nanowire Synthesis and Applications (3 papers) and Distributed systems and fault tolerance (3 papers). The work is most often cited by research in Biotechnology (123 citations), Organic Chemistry (294 citations), Polymers and Plastics (127 citations), Condensed Matter Physics (106 citations) and Electronic, Optical and Magnetic Materials (131 citations). Matthias Böhm has collaborated with scholars based in Germany, Switzerland and Portugal. Frequent co-authors include Andrea Vasella, G.J. Davies, Karl Leo, Bernhard Siegmund, Donato Spoltore, H. Fröb, Andreas Mischok, Johannes Benduhn, Christian Körner and Koen Vandewal. Their work appears in journals such as Helvetica Chimica Acta, Physica C Superconductivity, Neurocomputing, IEEE Transactions on Biomedical Engineering and Physica B Condensed Matter.

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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