Marjana Novič
- Molecular Biology top 10%
- Computational Theory and Mathematics top 0.5%
- Organic Chemistry top 5%
- Analytical Chemistry top 0.5%
- Spectroscopy top 2%
- Co-authors
- Jure ZupanMilan RandićMarjan VračkoItziar RuisánchezNatalja FjodorovaNikola MinovskiDejan PlavšićViktor Drgan
- Topics
- Computational Drug Discovery Methods (54 papers)Analytical Chemistry and Chromatography (21 papers)Spectroscopy and Chemometric Analyses (18 papers)
In The Last Decade
Marjana Novič
142 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 150
- Molecular Biology 1.0k
- Computational Theory and Mathematics 918
- Organic Chemistry 575
- Analytical Chemistry 515
- Spectroscopy 472
Countries citing papers authored by Marjana Novič
This map shows the geographic impact of Marjana Novič'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 Marjana Novič with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marjana Novič more than expected).
Fields of papers citing papers by Marjana Novič
This network shows the impact of papers produced by Marjana Novič. 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 Marjana Novič. The network helps show where Marjana Novič may publish in the future.
Co-authorship network of co-authors of Marjana Novič
This figure shows the co-authorship network connecting the top 25 collaborators of Marjana Novič. A scholar is included among the top collaborators of Marjana Novič 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 Marjana Novič. Marjana Novič is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 11 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | Chemometric characterisation of the quality of ground waters from different wells in Slovenia | 6 |
| 7 | 11 | |
| 8 | 5 | |
| 9 | 27 | |
| 10 | 17 | |
| 11 | The Nature of Hydrogen Bonding in Selected Hydrazide Derivatives Investigated via Static Models and Car-Parrinello Molecular Dynamics | 3 |
| 12 | 35 | |
| 13 | 9 | |
| 14 | 3 | |
| 15 | 30 | |
| 16 | 7 | |
| 17 | 5 | |
| 18 | Prediction of gas chromatographic retention indices using variable connectivity index | 6 |
| 19 | 11 | |
| 20 | 6 |
About Marjana Novič
Marjana Novič is a scholar working on Computational Theory and Mathematics, Analytical Chemistry and Spectroscopy, having authored 145 papers that have together received 3.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (54 papers), Analytical Chemistry and Chromatography (21 papers) and Spectroscopy and Chemometric Analyses (18 papers). The work is most often cited by research in Computational Theory and Mathematics (918 citations), Analytical Chemistry (515 citations) and Spectroscopy (472 citations). Marjana Novič has collaborated with scholars based in Slovenia, Italy and Croatia. Frequent co-authors include Jure Zupan, Milan Randić, Marjan Vračko, Itziar Ruisánchez, Natalja Fjodorova, Nikola Minovski, Dejan Plavšić, Viktor Drgan, Thomas R. Ward and Emilio Benfenati. Their work appears in journals such as Journal of the American Chemical Society, PLoS ONE and Analytical Chemistry.
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.