Mathilde Romberg

512 citations
24 papers · 295 · h-index 9

Impact in

Papers in

Mathilde Romberg

23 papers receiving 262 citations

Peers

Mathilde Romberg
Comparison fields: 5 of 44
  • Information Systems and Management 128
  • Hardware and Architecture 82
  • Computer Networks and Communications 232
  • Information Systems 65
  • Computational Theory and Mathematics 38
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Citations per field
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Citations per year

Countries citing papers authored by Mathilde Romberg

Since Specialization
Citations

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

Fields of papers citing papers by Mathilde Romberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mathilde Romberg, 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 Mathilde Romberg Line = papers co-authored together Mathilde Romberg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200251
2 200550
3 200339
4 200829
5 200422
6 200520
7
Scientific Computing with UNICORE
200317
8 200714
9 200910
10
OpenMolGRIND: Molecular Science and Engineering in a Grid Context.
20047
11 20047
12
OpenMolGRID - Open Computing Grid for Molecular Science and Engineering
20056
13 20084
14 20054
15 20093
16 20122
17 20122
18 20092
19 20092
20
Towards and Intelligent Data Type for Toxicity.
20031

About Mathilde Romberg

Mathilde Romberg is a scholar working on Computer Networks and Communications, Information Systems and Management, Hardware and Architecture, Molecular Biology and Computational Theory and Mathematics, having authored 24 papers that have together received 295 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (15 papers), Scientific Computing and Data Management (14 papers), Advanced Data Storage Technologies (10 papers), Parallel Computing and Optimization Techniques (6 papers), Computational Drug Discovery Methods (3 papers), Bioinformatics and Genomic Networks (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Simulation Techniques and Applications (2 papers). The work is most often cited by research in Information Systems and Management (128 citations), Hardware and Architecture (82 citations), Computer Networks and Communications (232 citations), Information Systems (65 citations) and Computational Theory and Mathematics (38 citations). Mathilde Romberg has collaborated with scholars based in Germany, Italy and United Kingdom. Frequent co-authors include Bernd Schuller, Sulev Sild, Uko Maran, Philipp Wieder, Emilio Benfenati, Daniel Mallmann, Dietmar W. Erwin, Werner Dubitzky, Achim Streit and Morris Riedel. Their work appears in journals such as Data Intelligence, Journal of Cheminformatics, Future Generation Computer Systems, Journal of Grid Computing and Parallel Computing.

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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