Demo Data from SIGIR 2026 / reviewers in the wild / expert
Johann M. Rohwer
dblp:35/1516
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2018
0000-0001-6288-8904ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
2 papers |
Bioinformatics and computational biology · 93% Computational science and engineering · 7% |
Topics — the 7 heaviest of 9, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › systems biology › metabolic network analysis
metabolic control analysis |
0.3 | 1 | 2018 | PySCeSToolbox: a collection of metabolic pathway analysis tools · Bioinform. 2018 |
Bioinformatics and computational biology › systems bioinformatics › pathway analysis
metabolic pathway analysis |
0.3 | 1 | 2018 | PySCeSToolbox: a collection of metabolic pathway analysis tools · Bioinform. 2018 |
Bioinformatics and computational biology
systems biology |
0.1 | 1 | 2018 | PySCeSToolbox: a collection of metabolic pathway analysis tools · Bioinform. 2018 |
Bioinformatics and computational biology › systems biology › computational cell biology
cell simulation |
0.1 | 1 | 2005 | Modelling cellular systems with PySCeS · Bioinform. 2005 |
Bioinformatics and computational biology › systems biology › computational cell biology
cellular modeling |
0.1 | 1 | 2005 | Modelling cellular systems with PySCeS · Bioinform. 2005 |
Bioinformatics and computational biology › systems biology
kinetic modeling |
0.1 | 1 | 2005 | Modelling cellular systems with PySCeS · Bioinform. 2005 |
Computational science and engineering
numerical analysis |
0.1 | 1 | 2005 | Modelling cellular systems with PySCeS · Bioinform. 2005 |
Methods — techniques the papers use, named apart from their topics
symbolic control analysis · 0.3supply-demand analysis · 0.3numerical simulation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | PySCeSToolbox: a collection of metabolic pathway analysis toolsabstractSummary: PySCeSToolbox is an extension to the Python Simulator for Cellular Systems (PySCeS) that includes tools for performing generalized supply-demand analysis, symbolic metabolic control analysis, and a framework for investigating the kinetic and thermodynamic aspects of enzyme-catalyzed reactions. Each tool addresses a different aspect of metabolic behaviour, control, and regulation; the tools complement each other and can be used in conjunction to better understand higher level system behaviour. Availability and implementation: PySCeSToolbox is available on Linux, Mac OS X and Windows. It is licensed under the BSD 3-clause licence. Code, setup instructions and a link to documentation can be found at https://github.com/PySCeS/PyscesToolbox. Contact: [email protected]. Supplementary information: Supplementary data are available at Bioinformatics online. Carl D. Christensen, Jan-Hendrik S. Hofmeyr, Johann M. Rohwer |
Bioinform. | 3 |
| 2005 | Modelling cellular systems with PySCeSabstractUNLABELLED: The Python Simulator for Cellular Systems (PySCeS) is an extendable research tool for the numerical analysis and investigation of cellular systems. AVAILABILITY: PySCeS is distributed as Open Source Software under the GNU General Public Licence and is available for download from http://pysces.sourceforge.net CONTACT: [email protected]. Brett G. Olivier, Johann M. Rohwer, Jan-Hendrik S. Hofmeyr |
Bioinform. | 2 |