Eivind Almaas - RankMe

17 papers A* 1Misc 1Journal 15

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Genome-scale metabolic models reveal determinants of phenotypic differences in non-Saccharomyces yeasts. BMC Bioinform. Jakob P. Pettersen, Sandra Castillo, Paula Jouhten, Eivind Almaas
2022	J	`jnl`	csdR, an R package for differential co-expression analysis. BMC Bioinform. Jakob P. Pettersen, Eivind Almaas
2021	J	`jnl`	Automatic reconstruction of metabolic pathways from identified biosynthetic gene clusters. BMC Bioinform. Snorre Sulheim, Fredrik A. Fossheim, Alexander Wentzel, Eivind Almaas
2021	J	`jnl`	Correction to: Automatic reconstruction of metabolic pathways from identified biosynthetic gene clusters. BMC Bioinform. Snorre Sulheim, Fredrik A. Fossheim, Alexander Wentzel, Eivind Almaas
2021	J	`jnl`	Genome-scale metabolic modelling when changes in environmental conditions affect biomass composition. PLoS Comput. Biol. Christian Schulz, Tjasa Kumelj, Emil Karlsen, Eivind Almaas
2020	J	`jnl`	ErrorTracer: an algorithm for identifying the origins of inconsistencies in genome-scale metabolic models. Bioinform. Nikolay Martyushenko, Eivind Almaas
2019	J	`jnl`	Assessment of weighted topological overlap (wTO) to improve fidelity of gene co-expression networks. BMC Bioinform. André Voigt, Eivind Almaas
2019	J	`jnl`	ModelExplorer - software for visual inspection and inconsistency correction of genome-scale metabolic reconstructions. BMC Bioinform. Nikolay Martyushenko, Eivind Almaas
2018	J	`jnl`	Automated generation of genome-scale metabolic draft reconstructions based on KEGG. BMC Bioinform. Emil Karlsen, Christian Schulz, Eivind Almaas
2018	J	`jnl`	wTO: an R package for computing weighted topological overlap and a consensus network with integrated visualization tool. BMC Bioinform. Deisy Morselli Gysi, André Voigt, Tiago de Miranda Fragoso, Eivind Almaas, Katja Nowick
2017	J	`jnl`	A composite network of conserved and tissue specific gene interactions reveals possible genetic interactions in glioma. PLoS Comput. Biol. André Voigt, Katja Nowick, Eivind Almaas
2016	J	`jnl`	Hypothetical biomolecular probe based on a genetic switch with tunable symmetry and stability. BMC Syst. Biol. Nikolay Martyushenko, Sigurd Hagen Johansen, Cheol-Min Ghim, Eivind Almaas
2012	J	`jnl`	Genome-level transcription data of Yersinia pestis analyzed with a New metabolic constraint-based approach. BMC Syst. Biol. Ali Navid, Eivind Almaas
2009	Misc	`conf`	Identifying Dynamic Network Modules with Temporal and Spatial Constraints. Pacific Symposium on Biocomputing Ruoming Jin, Scott McCallen, Chun-Chi Liu, Yang Xiang, Eivind Almaas, Xianghong Jasmine Zhou
2008	J	`jnl`	Genetic noise control via protein oligomerization. BMC Syst. Biol. Cheol-Min Ghim, Eivind Almaas
2007	A*	`conf`	Trend Motif: A Graph Mining Approach for Analysis of Dynamic Complex Networks. ICDM Ruoming Jin, Scott McCallen, Eivind Almaas
2005	J	`jnl`	The Activity Reaction Core and Plasticity of Metabolic Networks. PLoS Comput. Biol. Eivind Almaas, Zoltán N. Oltvai, Albert-László Barabási

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.