Mihai V. Putz
- Organic Chemistry top 5%
- Materials Chemistry top 10%
- Computational Theory and Mathematics top 1%
- Physical and Theoretical Chemistry top 2%
- Atomic and Molecular Physics, and Optics top 10%
- Co-authors
- Emilia SiciliaNino RussoOttorino OriAna-Maria PutzFranco CataldoVasile OstafeMircea V. DiudeaIreneusz P. Grudziński
- Topics
- Computational Drug Discovery Methods (26 papers)Fullerene Chemistry and Applications (23 papers)Graphene research and applications (22 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Molecular SciencesChemical Physics Letters
In The Last Decade
Mihai V. Putz
123 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 123
- Organic Chemistry 698
- Materials Chemistry 516
- Computational Theory and Mathematics 359
- Physical and Theoretical Chemistry 314
- Atomic and Molecular Physics, and Optics 279
Countries citing papers authored by Mihai V. Putz
This map shows the geographic impact of Mihai V. Putz'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 Mihai V. Putz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mihai V. Putz more than expected).
Fields of papers citing papers by Mihai V. Putz
This network shows the impact of papers produced by Mihai V. Putz. 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 Mihai V. Putz. The network helps show where Mihai V. Putz may publish in the future.
Co-authorship network of co-authors of Mihai V. Putz
This figure shows the co-authorship network connecting the top 25 collaborators of Mihai V. Putz. A scholar is included among the top collaborators of Mihai V. Putz 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 Mihai V. Putz. Mihai V. Putz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 15 | |
| 10 | 6 | |
| 11 | 13 | |
| 12 | 5 | |
| 13 | 15 | |
| 14 | 16 | |
| 15 | Enzymatic control of the bio-inspired nanomaterials at the spectroscopic level | 3 |
| 16 | Introducing logistic enzyme kinetics | 8 |
| 17 | QSAR MODELLING OF ANTI-HIV ACTIVITY WITH HEPT DERIVATIVES | 5 |
| 18 | 44 | |
| 19 | 11 | |
| 20 | 12 |
About Mihai V. Putz
Mihai V. Putz is a scholar working on Physical and Theoretical Chemistry, Organic Chemistry and Computational Theory and Mathematics, having authored 127 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (26 papers), Fullerene Chemistry and Applications (23 papers) and Graphene research and applications (22 papers). The work is most often cited by research in Physical and Theoretical Chemistry (314 citations), Organic Chemistry (698 citations) and Computational Theory and Mathematics (359 citations). Mihai V. Putz has collaborated with scholars based in Romania, Italy and Poland. Frequent co-authors include Emilia Sicilia, Nino Russo, Ottorino Ori, Ana-Maria Putz, Franco Cataldo, Vasile Ostafe, Mircea V. Diudea, Ireneusz P. Grudziński, Claudiu N. Lungu and Savaş Kaya. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Chemical Physics Letters.
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.