Cristian Robert Munteanu
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
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- Computational Drug Discovery Methods 42
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- Graph theory and applications 18
- Co-authors
- Alejandro Pazos (61 shared papers)Humberto González‐Díaz (57 shared papers)Julián Dorado (34 shared papers)Enrique Fernández-Blanco (10 shared papers)Alexandre L. Magalhães (7 shared papers)Daniel Rivero (7 shared papers)Carlos Fernandez-Lozano (18 shared papers)Ling Guo (1 shared paper)
In The Last Decade
Cristian Robert Munteanu
123 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 141
- Computational Theory and Mathematics 830
- Drug Discovery 5
- Molecular Biology 659
- Cognitive Neuroscience 216
- Geometry and Topology 108
Countries citing papers authored by Cristian Robert Munteanu
This map shows the geographic impact of Cristian Robert Munteanu'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 Cristian Robert Munteanu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristian Robert Munteanu more than expected).
Fields of papers citing papers by Cristian Robert Munteanu
This network shows the impact of papers produced by Cristian Robert Munteanu. 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 Cristian Robert Munteanu. The network helps show where Cristian Robert Munteanu may publish in the future.
Co-authors
The 25 scholars most cited alongside Cristian Robert Munteanu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 231 | |
| 2 | 2020 | 129 | |
| 3 | 2015 | 112 | |
| 4 | 2015 | 78 | |
| 5 | 2008 | 62 | |
| 6 | 2010 | 62 | |
| 7 | 2014 | 57 | |
| 8 | 2008 | 54 | |
| 9 | 2015 | 54 | |
| 10 | 2009 | 50 | |
| 11 | 2018 | 50 | |
| 12 | 2020 | 49 | |
| 13 | 2009 | 46 | |
| 14 | 2012 | 46 | |
| 15 | 2020 | 43 | |
| 16 | 2009 | 40 | |
| 17 | 2017 | 38 | |
| 18 | 2020 | 38 | |
| 19 | 2011 | 37 | |
| 20 | 2010 | 36 |
About Cristian Robert Munteanu
Cristian Robert Munteanu is a scholar working on Computational Theory and Mathematics, Geometry and Topology, Molecular Biology, Artificial Intelligence and Psychiatry and Mental health, having authored 128 papers that have together received 2.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (42 papers), Machine Learning in Bioinformatics (22 papers), Graph theory and applications (18 papers), Bioinformatics and Genomic Networks (9 papers), Biomedical Text Mining and Ontologies (8 papers), Protein Structure and Dynamics (8 papers), Fractal and DNA sequence analysis (6 papers) and Advanced Chemical Physics Studies (5 papers). The work is most often cited by research in Computational Theory and Mathematics (830 citations), Drug Discovery (5 citations), Molecular Biology (659 citations), Cognitive Neuroscience (216 citations) and Geometry and Topology (108 citations). Cristian Robert Munteanu has collaborated with scholars based in Spain, Ecuador and Portugal. Frequent co-authors include Alejandro Pazos, Humberto González‐Díaz, Julián Dorado, Enrique Fernández-Blanco, Alexandre L. Magalhães, Daniel Rivero, Carlos Fernandez-Lozano, Ling Guo, Francisco Prado-Prado and Eugenio Uriarte. Their work appears in journals such as Journal of Theoretical Biology, Scientific Reports, Current Topics in Medicinal Chemistry, International Journal of Molecular Sciences and Molecular BioSystems.
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.