Alina Sîrbu

1.1k total citations
27 papers, 439 citations indexed

About

Alina Sîrbu is a scholar working on Molecular Biology, Sociology and Political Science and Statistical and Nonlinear Physics. According to data from OpenAlex, Alina Sîrbu has authored 27 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Sociology and Political Science and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Alina Sîrbu's work include Complex Network Analysis Techniques (5 papers), Gene expression and cancer classification (5 papers) and Human Mobility and Location-Based Analysis (5 papers). Alina Sîrbu is often cited by papers focused on Complex Network Analysis Techniques (5 papers), Gene expression and cancer classification (5 papers) and Human Mobility and Location-Based Analysis (5 papers). Alina Sîrbu collaborates with scholars based in Italy, Germany and Ireland. Alina Sîrbu's co-authors include Heather J. Ruskin, Martin Crane, Fosca Giannotti, Dino Pedreschi, János Kertész, Gráinne Kerr, Louise Francis, Francesca Tria, Pietro Gravino and Vittorio Loreto and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Alina Sîrbu

26 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alina Sîrbu Italy 9 107 94 60 58 50 27 439
Yihong Zhang Japan 16 29 0.3× 94 1.0× 38 0.6× 70 1.2× 13 0.3× 85 713
Junjun Yin United States 12 17 0.2× 87 0.9× 75 1.3× 457 7.9× 24 0.5× 34 765
Saray Shai United States 10 30 0.3× 36 0.4× 242 4.0× 67 1.2× 8 0.2× 11 406
Benjamin Adams New Zealand 15 56 0.5× 74 0.8× 13 0.2× 200 3.4× 15 0.3× 53 746
Trivik Verma Netherlands 12 24 0.2× 79 0.8× 159 2.6× 140 2.4× 4 0.1× 38 493
Manuel Sebastian Mariani Switzerland 12 39 0.4× 49 0.5× 214 3.6× 13 0.2× 15 0.3× 30 549
Byungjoon Min South Korea 12 60 0.6× 75 0.8× 481 8.0× 35 0.6× 19 0.4× 25 614
George Kampis Hungary 12 42 0.4× 72 0.8× 32 0.5× 9 0.2× 8 0.2× 43 405
Dheeraj Kumar India 10 107 1.0× 22 0.2× 14 0.2× 30 0.5× 13 0.3× 23 341
A. Paolo Masucci United Kingdom 10 37 0.3× 40 0.4× 128 2.1× 219 3.8× 9 0.2× 16 620

Countries citing papers authored by Alina Sîrbu

Since Specialization
Citations

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

Fields of papers citing papers by Alina Sîrbu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alina Sîrbu. 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 Alina Sîrbu. The network helps show where Alina Sîrbu may publish in the future.

Co-authorship network of co-authors of Alina Sîrbu

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

All Works

20 of 20 papers shown
1.
Mastorci, Francesca, Lamia Ait-Alì, P. Marcheschi, et al.. (2025). Home-Based Intervention Tool for Cardiac Telerehabilitation: Protocol for a Controlled Trial. JMIR Research Protocols. 14. e47951–e47951. 2 indexed citations
2.
Calderón, Carlos Arcila, et al.. (2025). Combining Twitter and mobile phone data to observe border-rush: the Turkish-European border opening. Journal of Computational Social Science. 8(1).
3.
Podda, Marco, Simone Bonechi, Andrea Palladino, et al.. (2024). Classification of Neisseria meningitidis genomes with a bag-of-words approach and machine learning. iScience. 27(3). 109257–109257. 3 indexed citations
4.
Pingitore, Alessandro, Cristina Vassalle, Paolo Ferragina, et al.. (2024). Machine learning to identify a composite indicator to predict cardiac death in ischemic heart disease. International Journal of Cardiology. 404. 131981–131981. 3 indexed citations
5.
Sîrbu, Alina, et al.. (2024). International mobility between the UK and Europe around Brexit: a data-driven study. Journal of Computational Social Science. 7(2). 1451–1482. 1 indexed citations
6.
Sîrbu, Alina, et al.. (2023). Dataset of Multi-Aspect Integrated Migration Indicators. CINECA IRIS Institutial research information system (University of Pisa). 2 indexed citations
7.
Sîrbu, Alina, et al.. (2023). Mass media impact on opinion evolution in biased digital environments: a bounded confidence model. Scientific Reports. 13(1). 14600–14600. 7 indexed citations
8.
Kim, Jisu, Francesca Pratesi, Giulio Rossetti, Alina Sîrbu, & Fosca Giannotti. (2022). Where do migrants and natives belong in a community: a Twitter case study and privacy risk analysis. Social Network Analysis and Mining. 13(1). 3 indexed citations
9.
Sîrbu, Alina, Greta Barbieri, Francesco Faita, et al.. (2021). Early outcome detection for COVID-19 patients. Scientific Reports. 11(1). 18464–18464. 3 indexed citations
10.
Sîrbu, Alina, Gennady Andrienko, Natalia Andrienko, et al.. (2020). Human migration: the big data perspective. International Journal of Data Science and Analytics. 11(4). 341–360. 56 indexed citations
11.
Sîrbu, Alina, Fosca Giannotti, Dino Pedreschi, & János Kertész. (2019). Public Opinion and Algorithmic Bias.. CINECA IRIS Institutial research information system (University of Pisa). 2019. 1 indexed citations
12.
Sîrbu, Alina, Dino Pedreschi, Fosca Giannotti, & János Kertész. (2019). Algorithmic bias amplifies opinion fragmentation and polarization: A bounded confidence model. PLoS ONE. 14(3). e0213246–e0213246. 72 indexed citations
13.
Sîrbu, Alina & Özalp Babaoğlu. (2018). A data‐driven approach to modeling power consumption for a hybrid supercomputer. Concurrency and Computation Practice and Experience. 30(9). 2 indexed citations
14.
Gravino, Pietro, et al.. (2016). Unveiling Political Opinion Structures with a Web-experiment. CINECA IRIS Institutial research information system (University of Pisa). 39–47. 2 indexed citations
15.
Sîrbu, Alina, Martin Becker, Bernard De Baets, et al.. (2015). Participatory Patterns in an International Air Quality Monitoring Initiative. PLoS ONE. 10(8). e0136763–e0136763. 27 indexed citations
16.
Sîrbu, Alina & Özalp Babaoğlu. (2014). Towards a systematic analysis of cluster computing log data: the case of IBM BlueGene/Q.. arXiv (Cornell University). 1 indexed citations
17.
Becker, Martin, Louise Francis, Pietro Gravino, et al.. (2013). Awareness and Learning in Participatory Noise Sensing. PLoS ONE. 8(12). e81638–e81638. 56 indexed citations
18.
Sîrbu, Alina, Heather J. Ruskin, & Martin Crane. (2011). Integrating heterogeneous gene expression data for gene regulatory network modelling. Theory in Biosciences. 131(2). 95–102. 4 indexed citations
19.
Sîrbu, Alina, Heather J. Ruskin, & Martin Crane. (2010). Comparison of evolutionary algorithms in gene regulatory network model inference. BMC Bioinformatics. 11(1). 59–59. 56 indexed citations
20.
Sîrbu, Alina, Heather J. Ruskin, & Martin Crane. (2010). Cross-Platform Microarray Data Normalisation for Regulatory Network Inference. PLoS ONE. 5(11). e13822–e13822. 17 indexed citations

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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