Nevena Paunović

20 total papers · 660 total citations
14 papers, 515 citations indexed

About

Nevena Paunović is a scholar working on Automotive Engineering, Biomedical Engineering and Organic Chemistry. According to data from OpenAlex, Nevena Paunović has authored 14 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Automotive Engineering, 6 papers in Biomedical Engineering and 3 papers in Organic Chemistry. Recurrent topics in Nevena Paunović's work include Additive Manufacturing and 3D Printing Technologies (8 papers), 3D Printing in Biomedical Research (4 papers) and Advanced Drug Delivery Systems (3 papers). Nevena Paunović is often cited by papers focused on Additive Manufacturing and 3D Printing Technologies (8 papers), 3D Printing in Biomedical Research (4 papers) and Advanced Drug Delivery Systems (3 papers). Nevena Paunović collaborates with scholars based in Switzerland, Denmark and Canada. Nevena Paunović's co-authors include Jean‐Christophe Leroux, Yinyin Bao, Zhi Luo, André R. Studart, Nicole Kleger, Fergal B. Coulter, Daniel Franzen, Kunal Masania, Karina Klein and Agnieszka Karol and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Nevena Paunović

13 papers receiving 503 citations

Hit Papers

Challenges and Opportunit... 2022 2026 2023 2024 2022 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nevena Paunović 283 244 111 95 73 14 515
Allison M. Pekkanen 266 0.9× 218 0.9× 112 1.0× 137 1.4× 61 0.8× 17 515
Risto Hakala 304 1.1× 224 0.9× 72 0.6× 181 1.9× 31 0.4× 14 470
G. Verstraete 252 0.9× 141 0.6× 40 0.4× 105 1.1× 83 1.1× 14 591
Ryan T. Shafranek 413 1.5× 226 0.9× 64 0.6× 137 1.4× 93 1.3× 10 565
Archish Muralidharan 314 1.1× 244 1.0× 123 1.1× 73 0.8× 61 0.8× 13 526
Arif Z. Nelson 235 0.8× 124 0.5× 138 1.2× 88 0.9× 66 0.9× 19 603
František Ondreáš 107 0.4× 125 0.5× 124 1.1× 112 1.2× 94 1.3× 31 526
Nicoletta Inverardi 330 1.2× 197 0.8× 30 0.3× 99 1.0× 216 3.0× 25 532
Zhenhuan Zhang 204 0.7× 57 0.2× 48 0.4× 38 0.4× 31 0.4× 16 518
Giovanni Bovone 281 1.0× 49 0.2× 47 0.4× 206 2.2× 34 0.5× 19 566

Countries citing papers authored by Nevena Paunović

Since Specialization
Citations

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

Fields of papers citing papers by Nevena Paunović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nevena Paunović

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

All Works

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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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