Martin Senger
- Information Systems and Management top 0.2%
- Computer Networks and Communications top 1%
- Information Systems top 1%
- Molecular Biology
- Artificial Intelligence top 5%
- Co-authors
- Tom OinnMatthew PocockKevin GloverMark GreenwoodAnil WipatPeter LiDarren MarvinMatthew Addis
- Topics
- Scientific Computing and Data Management (6 papers)Distributed and Parallel Computing Systems (5 papers)Genomics and Phylogenetic Studies (4 papers)
- Partner nations
- United KingdomSwitzerlandGermany
In The Last Decade
Martin Senger
19 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Information Systems and Management 1.3k
- Computer Networks and Communications 1.0k
- Information Systems 680
- Molecular Biology 609
- Artificial Intelligence 230
Countries citing papers authored by Martin Senger
This map shows the geographic impact of Martin Senger'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 Senger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Senger more than expected).
Fields of papers citing papers by Martin Senger
This network shows the impact of papers produced by Martin Senger. 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 Senger. The network helps show where Martin Senger may publish in the future.
Co-authorship network of co-authors of Martin Senger
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Senger. A scholar is included among the top collaborators of Martin Senger 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 Senger. Martin Senger 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 | 2 | |
| 3 | 12 | |
| 4 | 10 | |
| 5 | 15 | |
| 6 | 27 | |
| 7 | 47 | |
| 8 | BioWorkFlow: Web Services toolkit and workflow applications evaluation to deploy a confidence network | 1 |
| 9 | 36 | |
| 10 | 11 | |
| 11 | 39 | |
| 12 | 75 | |
| 13 | Taverna: a tool for the composition and enactment of bioinformatics workflowsbreakdown → | 1013 |
| 14 | Genome Science performed with e-Science Tools | 1 |
| 15 | Soaplab - a unified Sesame door to analysis tools | 24 |
| 16 | 57 | |
| 17 | 45 | |
| 18 | [Effect of silver and copper ions on survival of Legionella pneumophila in tap water]. | 8 |
| 19 | 47 | |
| 20 | 42 |
About Martin Senger
Martin Senger is a scholar working on Information Systems and Management, Endocrinology and Geophysics, having authored 21 papers that have together received 1.9k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (6 papers), Distributed and Parallel Computing Systems (5 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Information Systems and Management (1.3k citations), Computer Networks and Communications (1.0k citations) and Information Systems (680 citations). Martin Senger has collaborated with scholars based in United Kingdom, Switzerland and Germany. Frequent co-authors include Tom Oinn, Matthew Pocock, Kevin Glover, Mark Greenwood, Anil Wipat, Peter Li, Darren Marvin, Matthew Addis, Justin Ferris and Tim Carver. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and Clinical Infectious Diseases.
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.