Martin Golebiewski
- Molecular Biology
- Information Systems and Management top 2%
- Biomedical Engineering
- Information Systems top 10%
- Biophysics top 5%
- Co-authors
- Andreas WeidemannRenate KaniaUlrike WittigIsabel RojasWolfgang G. MüllerSaqib MirOlga KrebsMeik Bittkowski
- Topics
- Bioinformatics and Genomic Networks (20 papers)Gene Regulatory Network Analysis (18 papers)Scientific Computing and Data Management (16 papers)
- Partner nations
- GermanyUnited KingdomNew Zealand
In The Last Decade
Martin Golebiewski
31 papers receiving 726 citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 572
- Information Systems and Management 168
- Biomedical Engineering 66
- Information Systems 55
- Biophysics 51
Countries citing papers authored by Martin Golebiewski
This map shows the geographic impact of Martin Golebiewski'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 Martin Golebiewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Golebiewski more than expected).
Fields of papers citing papers by Martin Golebiewski
This network shows the impact of papers produced by Martin Golebiewski. 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 Martin Golebiewski. The network helps show where Martin Golebiewski may publish in the future.
Co-authorship network of co-authors of Martin Golebiewski
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Golebiewski. A scholar is included among the top collaborators of Martin Golebiewski 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 Martin Golebiewski. Martin Golebiewski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 56 | |
| 8 | 15 | |
| 9 | 5 | |
| 10 | 14 | |
| 11 | 5 | |
| 12 | FAIRDOM: Reproducible Systems Biology through FAIR Asset Management | 1 |
| 13 | 75 | |
| 14 | FAIRDOM approach for semantic interoperability of systems biology data and models. | 2 |
| 15 | 61 | |
| 16 | 51 | |
| 17 | 18 | |
| 18 | 91 | |
| 19 | 13 | |
| 20 | 13 |
About Martin Golebiewski
Martin Golebiewski is a scholar working on Information Systems and Management, Molecular Biology and Biophysics, having authored 35 papers that have together received 734 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (20 papers), Gene Regulatory Network Analysis (18 papers) and Scientific Computing and Data Management (16 papers). The work is most often cited by research in Information Systems and Management (168 citations), Biophysics (51 citations) and Molecular Biology (572 citations). Martin Golebiewski has collaborated with scholars based in Germany, United Kingdom and New Zealand. Frequent co-authors include Andreas Weidemann, Renate Kania, Ulrike Wittig, Isabel Rojas, Wolfgang G. Müller, Saqib Mir, Olga Krebs, Meik Bittkowski, Dagmar Waltemath and Michael Hucka. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and BMC Bioinformatics.
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.