Viktor Bojović

463 total citations
11 papers, 365 citations indexed

About

Viktor Bojović is a scholar working on Molecular Biology, Microbiology and Computational Theory and Mathematics. According to data from OpenAlex, Viktor Bojović has authored 11 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Microbiology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Viktor Bojović's work include Biochemical and Structural Characterization (4 papers), Antimicrobial Peptides and Activities (4 papers) and Protein Structure and Dynamics (3 papers). Viktor Bojović is often cited by papers focused on Biochemical and Structural Characterization (4 papers), Antimicrobial Peptides and Activities (4 papers) and Protein Structure and Dynamics (3 papers). Viktor Bojović collaborates with scholars based in Croatia, Italy and Austria. Viktor Bojović's co-authors include Davor Juretić, Mario Novković, Alessandro Tossi, Juraj Simunić, Ana Bielen, Ivana Bošnjak, Bono Lučić, Damir Vukičević, Nada Ilić and Dražen Petrov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Journal of Chemical Information and Modeling.

In The Last Decade

Viktor Bojović

9 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Viktor Bojović Croatia 6 285 211 44 34 27 11 365
Bilal Nizami South Africa 9 321 1.1× 185 0.9× 34 0.8× 55 1.6× 34 1.3× 11 428
Jayendra B. Bhonsle United States 12 259 0.9× 176 0.8× 39 0.9× 56 1.6× 114 4.2× 16 398
Javier Klett Spain 11 192 0.7× 32 0.2× 43 1.0× 34 1.0× 62 2.3× 18 319
Patricia Czihal Germany 8 284 1.0× 208 1.0× 35 0.8× 5 0.1× 18 0.7× 9 394
Katie J. Molohon United States 6 210 0.7× 39 0.2× 13 0.3× 16 0.5× 40 1.5× 6 347
Olayiwola A. Adekoya Norway 11 242 0.8× 29 0.1× 22 0.5× 28 0.8× 33 1.2× 19 350
Francesca Bernardini United Kingdom 12 201 0.7× 93 0.4× 25 0.6× 9 0.3× 43 1.6× 18 349
Patrick Brendan Timmons Ireland 7 249 0.9× 167 0.8× 30 0.7× 44 1.3× 7 0.3× 11 289
Mikhail O. Maksimov United States 10 563 2.0× 167 0.8× 9 0.2× 5 0.1× 35 1.3× 11 668
Si Jia Pan United States 6 402 1.4× 122 0.6× 11 0.3× 4 0.1× 36 1.3× 7 471

Countries citing papers authored by Viktor Bojović

Since Specialization
Citations

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

Fields of papers citing papers by Viktor Bojović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Viktor Bojović

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

All Works

11 of 11 papers shown
1.
Skala, Karolj, et al.. (2024). Prospects of digital scientific publishing on blockchain: The concept of DAP. SHILAP Revista de lepidopterología. 3. 117–117.
3.
Lučić, Bono, et al.. (2019). Estimation of Random Accuracy and its Use in Validation of Predictive Quality of Classification Models within Predictive Challenges. Croatica Chemica Acta. 92(3). 379–391. 41 indexed citations
4.
Bilušić, Tea, Ivica Ljubenkov, Ivana Generalić Mekinić, et al.. (2017). Molecular characterization of Dalmatian cultivars and the influence of the olive fruit harvest period on chemical profile, sensory characteristics and oil oxidative stability. European Food Research and Technology. 244(2). 281–289. 11 indexed citations
5.
Bošnjak, Ivana, et al.. (2014). Occurrence of protein disulfide bonds in different domains of life: a comparison of proteins from the Protein Data Bank. Protein Engineering Design and Selection. 27(3). 65–72. 65 indexed citations
6.
Novković, Mario, Juraj Simunić, Viktor Bojović, Alessandro Tossi, & Davor Juretić. (2013). DADP: the Database of Anuran Defense Peptides. 39. 3 indexed citations
7.
Novković, Mario, Juraj Simunić, Viktor Bojović, Alessandro Tossi, & Davor Juretić. (2012). DADP: the database of anuran defense peptides. Bioinformatics. 28(10). 1406–1407. 164 indexed citations
8.
Vukičević, Damir, Ali Ladram, Christophe Piesse, et al.. (2012). Improving the Selectivity of Antimicrobial Peptides from Anuran Skin. Journal of Chemical Information and Modeling. 52(12). 3341–3351. 33 indexed citations
9.
Bojović, Viktor, Ivan Sović, Antony Bacic, Bono Lučić, & Karolj Skala. (2011). A novel tool/method for visualization of orientations of side chains relative to the protein's main chain. International Convention on Information and Communication Technology, Electronics and Microelectronics. 242–245. 1 indexed citations
10.
Juretić, Davor, Damir Vukičević, Dražen Petrov, et al.. (2011). Knowledge-based computational methods for identifying or designing novel, non-homologous antimicrobial peptides. European Biophysics Journal. 40(4). 371–385. 46 indexed citations
11.
Bojović, Viktor, et al.. (2010). Analyser and viewer of protein inter-residue contacts. 264–267. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026