Slobodan Vučetić

9.8k total citations · 1 hit paper
137 papers, 5.6k citations indexed

About

Slobodan Vučetić is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Slobodan Vučetić has authored 137 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Artificial Intelligence, 35 papers in Molecular Biology and 21 papers in Computer Vision and Pattern Recognition. Recurrent topics in Slobodan Vučetić's work include Machine Learning in Bioinformatics (20 papers), Protein Structure and Dynamics (18 papers) and Atmospheric aerosols and clouds (15 papers). Slobodan Vučetić is often cited by papers focused on Machine Learning in Bioinformatics (20 papers), Protein Structure and Dynamics (18 papers) and Atmospheric aerosols and clouds (15 papers). Slobodan Vučetić collaborates with scholars based in United States, Russia and Israel. Slobodan Vučetić's co-authors include Zoran Obradović, A. Keith Dunker, Predrag Radivojac, Kang Peng, Celeste J. Brown, Lilia M. Iakoucheva, Vladimir N. Uversky, Hongbo Xie, Christopher J. Oldfield and A. Keith Dunker and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Slobodan Vučetić

130 papers receiving 5.5k citations

Hit Papers

Length-dependent prediction of protein intrinsic disorder 2006 2026 2012 2019 2006 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Length-dependent prediction of protein intrinsic disorder
    2006 722 citations Kang Peng, Predrag Radivojac et al. profile →

Peers

Slobodan Vučetić
Reinhard Schneider Germany
Jinbo Xu United States
Leslie A. Kuhn United States
Min Li China
Lukasz Kurgan Canada
Yu Xia United States
Cheng‐Wen Wu Taiwan
Yuan Jiang China
Tatsuya Akutsu Japan
Jing Tang China
Reinhard Schneider Germany
Slobodan Vučetić
Citations per year, relative to Slobodan Vučetić Slobodan Vučetić (= 1×) peers Reinhard Schneider

Countries citing papers authored by Slobodan Vučetić

Since Specialization
Citations

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

Fields of papers citing papers by Slobodan Vučetić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Slobodan Vučetić

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

All Works

20 of 20 papers shown
1.
Allard, John B., Sudip Sharma, Maxwell Sanderford, et al.. (2025). Evolutionary sparse learning reveals the shared genetic basis of convergent traits. Nature Communications. 16(1). 3217–3217. 2 indexed citations
2.
Xu, Hanzi, Muhao Chen, Lifu Huang, Slobodan Vučetić, & Wenpeng Yin. (2024). X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification. 4652–4665. 3 indexed citations
3.
4.
Egleston, Brian L., et al.. (2023). Using pointwise mutual information for breast cancer health disparities research with SEER-Medicare claims. Methodology. 19(1). 43–59. 2 indexed citations
5.
Tincani, Matt, et al.. (2023). Vocational Interventions for Individuals with ASD: Umbrella Review. Review Journal of Autism and Developmental Disorders. 11(4). 806–842. 4 indexed citations
6.
Egleston, Brian L., Richard J. Bleicher, Carolyn Y. Fang, Thomas J. Galloway, & Slobodan Vučetić. (2023). Benefits versus drawbacks of delaying surgery due to additional consultations in older patients with breast cancer. Cancer Reports. 6(5). e1805–e1805. 4 indexed citations
7.
Vučetić, Slobodan, et al.. (2023). Data Augmentation for Radiology Report Simplification. 1922–1932. 4 indexed citations
8.
Xu, Hanzi, Slobodan Vučetić, & Wenpeng Yin. (2022). OpenStance: Real-world Zero-shot Stance Detection. 314–324. 8 indexed citations
9.
10.
Djuric, Nemanja, Mihajlo Grbovic, & Slobodan Vučetić. (2016). ParkAssistant: An Algorithm for Guiding a Car to a Parking Spot. Transportation Research Board 95th Annual MeetingTransportation Research Board. 6 indexed citations
11.
Djuric, Nemanja, Liang Lan, Slobodan Vučetić, & Zhuang Wang. (2013). BudgetedSVM: a toolbox for scalable SVM approximations. Journal of Machine Learning Research. 14(1). 3813–3817. 42 indexed citations
12.
Djuric, Nemanja, et al.. (2013). Semi-supervised learning for integration of aerosol predictions from multiple satellite instruments. International Joint Conference on Artificial Intelligence. 2797–2803. 3 indexed citations
13.
Grbovic, Mihajlo, Nemanja Djuric, & Slobodan Vučetić. (2013). Multi-prototype label ranking with novel pairwise-to-total-rank aggregation. International Joint Conference on Artificial Intelligence. 51(1). 1358–1364. 3 indexed citations
14.
Lan, Liang & Slobodan Vučetić. (2011). Improving accuracy of microarray classification by a simple multi-task feature selection filter. International Journal of Data Mining and Bioinformatics. 5(2). 189–189. 20 indexed citations
15.
Wang, Zhuang & Slobodan Vučetić. (2010). Online Passive-Aggressive Algorithms on a Budget. International Conference on Artificial Intelligence and Statistics. 908–915. 43 indexed citations
16.
Wang, Zhuang, Koby Crammer, & Slobodan Vučetić. (2010). Multi-Class Pegasos on a Budget. International Conference on Machine Learning. 1143–1150. 25 indexed citations
17.
Uversky, Vladimir N., Christopher J. Oldfield, Uros Midic, et al.. (2009). Unfoldomics of human diseases: linking protein intrinsic disorder with diseases. BMC Genomics. 10(Suppl 1). S7–S7. 223 indexed citations
18.
Peng, Kang, Predrag Radivojac, Slobodan Vučetić, A. Keith Dunker, & Zoran Obradović. (2006). Length-dependent prediction of protein intrinsic disorder. TUScholarShare (Temple University). 9 indexed citations
19.
Radivojac, Predrag, Slobodan Vučetić, Timothy O’Connor, et al.. (2006). Calmodulin signaling: Analysis and prediction of a disorder‐dependent molecular recognition. Proteins Structure Function and Bioinformatics. 63(2). 398–410. 84 indexed citations
20.
Vučetić, Slobodan, Zoran Obradović, Vladimir Vacic, et al.. (2004). DisProt: a database of protein disorder. Bioinformatics. 21(1). 137–140. 185 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.

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