Marcelo Serrano Zanetti

635 total citations
19 papers, 380 citations indexed

About

Marcelo Serrano Zanetti is a scholar working on Information Systems, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, Marcelo Serrano Zanetti has authored 19 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 6 papers in Artificial Intelligence and 4 papers in Computer Science Applications. Recurrent topics in Marcelo Serrano Zanetti's work include Software Engineering Research (8 papers), Open Source Software Innovations (4 papers) and Complex Network Analysis Techniques (3 papers). Marcelo Serrano Zanetti is often cited by papers focused on Software Engineering Research (8 papers), Open Source Software Innovations (4 papers) and Complex Network Analysis Techniques (3 papers). Marcelo Serrano Zanetti collaborates with scholars based in Switzerland, Brazil and Austria. Marcelo Serrano Zanetti's co-authors include Frank Schweitzer, Ingo Scholtes, Claudio J. Tessone, Edgard Jamhour, Manoel C. Penna, Marcelo Eduardo Pellenz, Maria Anisimova, Manuel Gil, Stefan Zoller and David García and has published in prestigious journals such as Molecular Biology and Evolution, IEEE Transactions on Smart Grid and Computers & Operations Research.

In The Last Decade

Marcelo Serrano Zanetti

16 papers receiving 370 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marcelo Serrano Zanetti Switzerland 8 142 114 95 86 54 19 380
Suzanne J. Matthews United States 12 90 0.6× 88 0.8× 51 0.5× 41 0.5× 24 0.4× 50 355
Robert Loftin United States 10 84 0.6× 15 0.1× 160 1.7× 57 0.7× 39 0.7× 16 374
Muhammad Uzair Khan Pakistan 12 129 0.9× 17 0.1× 73 0.8× 30 0.3× 8 0.1× 58 399
Andrey Filchenkov Russia 10 81 0.6× 21 0.2× 147 1.5× 12 0.1× 11 0.2× 62 360
Aamir Shafi United States 11 91 0.6× 40 0.4× 90 0.9× 20 0.2× 12 0.2× 77 487
Ronald I. Greenberg United States 11 21 0.1× 127 1.1× 23 0.2× 11 0.1× 69 1.3× 52 521
Fernando Esponda United States 11 39 0.3× 29 0.3× 275 2.9× 7 0.1× 53 1.0× 15 498
Kaixiong Zhou United States 13 84 0.6× 86 0.8× 336 3.5× 14 0.2× 4 0.1× 44 549
Alan Clements United Kingdom 12 96 0.7× 71 0.6× 40 0.4× 13 0.2× 124 2.3× 53 484
Stojan Denic United States 11 92 0.6× 405 3.6× 166 1.7× 310 3.6× 15 0.3× 34 922

Countries citing papers authored by Marcelo Serrano Zanetti

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo Serrano Zanetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcelo Serrano Zanetti. 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 Marcelo Serrano Zanetti. The network helps show where Marcelo Serrano Zanetti may publish in the future.

Co-authorship network of co-authors of Marcelo Serrano Zanetti

This figure shows the co-authorship network connecting the top 25 collaborators of Marcelo Serrano Zanetti. A scholar is included among the top collaborators of Marcelo Serrano Zanetti 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 Marcelo Serrano Zanetti. Marcelo Serrano Zanetti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Zanetti, Marcelo Serrano, et al.. (2023). Simulation of positive operator-valued measures and quantum instruments via quantum state-preparation algorithms. Physical review. A. 107(2). 6 indexed citations
2.
Zanetti, Marcelo Serrano, et al.. (2023). Simulating noisy quantum channels via quantum state preparation algorithms. Journal of Physics B Atomic Molecular and Optical Physics. 56(11). 115501–115501. 6 indexed citations
3.
4.
Zanetti, Marcelo Serrano, et al.. (2019). Minimizing dispersion in multiple drone routing. Computers & Operations Research. 109. 28–42. 5 indexed citations
5.
Zanetti, Marcelo Serrano, et al.. (2017). A Tunable Fraud Detection System for Advanced Metering Infrastructure Using Short-Lived Patterns. IEEE Transactions on Smart Grid. 10(1). 830–840. 123 indexed citations
6.
Zanetti, Marcelo Serrano, et al.. (2015). Streamlined Generalization Tool for Planetary Surface Mapping Using ArcGIS ModelBuilder Software on Multispectral Datasets. Lunar and Planetary Science Conference. 1233. 1 indexed citations
7.
Scholtes, Ingo, Marcelo Serrano Zanetti, Claudio J. Tessone, & Frank Schweitzer. (2015). Automated Software Remodularization Based on Move Refactoring - A Complex Systems Approach.. 85–86. 1 indexed citations
8.
Zanetti, Marcelo Serrano, Claudio J. Tessone, Ingo Scholtes, & Frank Schweitzer. (2014). Automated software remodularization based on move refactoring.
9.
Scholtes, Ingo, Marcelo Serrano Zanetti, Claudio J. Tessone, & Frank Schweitzer. (2014). Categorizing Bugs with Social Networks: A Case Study on Four Open Source Software Communities.. 27–28. 9 indexed citations
10.
Zanetti, Marcelo Serrano, Claudio J. Tessone, Ingo Scholtes, & Frank Schweitzer. (2014). Automated software remodularization based on move refactoring. 73–84. 14 indexed citations
11.
Müller, Felipe Martins, et al.. (2014). MIP–Based neighborhood search for the unrelated para llel machine scheduling problem with sequence and machine-dependent setup times. 7(3). 506–523. 1 indexed citations
12.
Zanetti, Marcelo Serrano. (2014). Software Engineering: A Complex Systems Approach. 1 indexed citations
13.
Gil, Manuel, Marcelo Serrano Zanetti, Stefan Zoller, & Maria Anisimova. (2013). CodonPhyML: Fast Maximum Likelihood Phylogeny Estimation under Codon Substitution Models. Molecular Biology and Evolution. 30(6). 1270–1280. 74 indexed citations
14.
Zanetti, Marcelo Serrano, Ingo Scholtes, Claudio J. Tessone, & Frank Schweitzer. (2013). The rise and fall of a central contributor: Dynamics of social organization and performance in the GENTOO community. 49–56. 20 indexed citations
15.
Zanetti, Marcelo Serrano, Ingo Scholtes, Claudio J. Tessone, & Frank Schweitzer. (2013). Categorizing bugs with social networks: A case study on four open source software communities. 2013 35th International Conference on Software Engineering (ICSE). 1032–1041. 71 indexed citations
16.
Zanetti, Marcelo Serrano. (2013). Markovian codon models of evolution for phylogeny inference. Repository for Publications and Research Data (ETH Zurich).
17.
García, David, Marcelo Serrano Zanetti, & Frank Schweitzer. (2013). The Role of Emotions in Contributors Activity: A Case Study on the GENTOO Community. arXiv (Cornell University). 410–417. 39 indexed citations
18.
19.
Gomes, Leonardo, et al.. (2006). Evolutionary Modeling of Larval Dispersal in Blowflies Using Non-Uniform Cellular Automata. Acervo Digital da Universidade Estadual Paulista (Universidade Estadual Paulista). 439 445. 1127–1134.

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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