Goran Banjac

1.8k total citations · 1 hit paper
37 papers, 996 citations indexed

About

Goran Banjac is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Information Systems. According to data from OpenAlex, Goran Banjac has authored 37 papers receiving a total of 996 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Theory and Mathematics, 10 papers in Numerical Analysis and 9 papers in Information Systems. Recurrent topics in Goran Banjac's work include Advanced Optimization Algorithms Research (10 papers), Optimization and Variational Analysis (9 papers) and Service-Oriented Architecture and Web Services (9 papers). Goran Banjac is often cited by papers focused on Advanced Optimization Algorithms Research (10 papers), Optimization and Variational Analysis (9 papers) and Service-Oriented Architecture and Web Services (9 papers). Goran Banjac collaborates with scholars based in Switzerland, Bosnia and Herzegovina and United Kingdom. Goran Banjac's co-authors include Paul J. Goulart, Bartolomeo Stellato, Stephen Boyd, Alberto Bemporad, John Lygeros, Mario Vašak, S. T. P. Boyd, Mato Baotić, Jadranko Matuško and Kostas Margellos and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Journal of Optimization Theory and Applications.

In The Last Decade

Goran Banjac

32 papers receiving 947 citations

Hit Papers

OSQP: an operator splitting solver for quadratic programs 2020 2026 2022 2024 2020 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. OSQP: an operator splitting solver for quadratic programs
    2020 643 citations Bartolomeo Stellato, Goran Banjac et al. Mathematical Programming Computation profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Goran Banjac Switzerland 10 460 207 132 131 118 37 996
Andreas Potschka Germany 10 729 1.6× 160 0.8× 164 1.2× 120 0.9× 209 1.8× 33 1.1k
Matthias Gerdts Germany 19 573 1.2× 145 0.7× 194 1.5× 94 0.7× 38 0.3× 101 1.3k
Marc E. Pfetsch Germany 17 199 0.4× 74 0.4× 174 1.3× 256 2.0× 79 0.7× 74 1.2k
Karl Worthmann Germany 21 985 2.1× 92 0.4× 77 0.6× 304 2.3× 56 0.5× 95 1.3k
Christian Kirches Germany 19 1.2k 2.6× 215 1.0× 318 2.4× 331 2.5× 291 2.5× 60 2.2k
Fang Tang China 12 290 0.6× 139 0.7× 76 0.6× 183 1.4× 91 0.8× 36 1.3k
Ahmad Bagheri Iran 21 662 1.4× 98 0.5× 83 0.6× 169 1.3× 145 1.2× 66 1.4k
Boris Houska China 22 1.8k 4.0× 254 1.2× 275 2.1× 351 2.7× 109 0.9× 96 2.7k
Jianghai Hu United States 24 898 2.0× 205 1.0× 167 1.3× 251 1.9× 42 0.4× 156 2.1k
József K. Tar Hungary 21 1.4k 3.0× 173 0.8× 125 0.9× 119 0.9× 160 1.4× 222 1.9k

Countries citing papers authored by Goran Banjac

Since Specialization
Citations

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

Fields of papers citing papers by Goran Banjac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Goran Banjac

This figure shows the co-authorship network connecting the top 25 collaborators of Goran Banjac. A scholar is included among the top collaborators of Goran Banjac 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 Goran Banjac. Goran Banjac 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.
Banjac, Goran, et al.. (2023). UML-based Forward Database Engineering. 1–6.
2.
Banjac, Goran, et al.. (2022). Towards the Speech-driven Database Design. 1–4.
3.
Banjac, Goran. (2021). On the minimal displacement vector of the Douglas–Rachford operator. Operations Research Letters. 49(2). 197–200. 3 indexed citations
4.
Aboudonia, Ahmed, et al.. (2021). Distributed Model Predictive Control With Reconfigurable Terminal Ingredients for Reference Tracking. IEEE Transactions on Automatic Control. 67(11). 6263–6270. 7 indexed citations
5.
Banjac, Goran & John Lygeros. (2021). On the asymptotic behavior of the Douglas–Rachford and proximal-point algorithms for convex optimization. Optimization Letters. 15(8). 2719–2732. 5 indexed citations
6.
Banjac, Goran, et al.. (2021). Automatic derivation of the initial conceptual database model from a set of business process models. Computer Science and Information Systems. 19(1). 455–493. 2 indexed citations
7.
Banjac, Goran, et al.. (2020). REDBUL: An Online System for Reverse Engineering of Relational Databases. 1–6. 1 indexed citations
8.
Banjac, Goran, et al.. (2020). GPU acceleration of ADMM for large-scale quadratic programming. Journal of Parallel and Distributed Computing. 144. 55–67. 29 indexed citations
9.
Stellato, Bartolomeo, Goran Banjac, Paul J. Goulart, Alberto Bemporad, & Stephen Boyd. (2020). OSQP: an operator splitting solver for quadratic programs. Mathematical Programming Computation. 12(4). 637–672. 643 indexed citations breakdown →
10.
Banjac, Goran, et al.. (2020). Automatic derivation of conceptual database models from differently serialized business process models. Software & Systems Modeling. 20(1). 89–115. 6 indexed citations
11.
Banjac, Goran, et al.. (2019). An Approach to Web-based Visualization of Automatically Generated Data Models. 6295. 1–6. 4 indexed citations
12.
Banjac, Goran, et al.. (2018). An experiment in model-driven conceptual database design. Software & Systems Modeling. 18(3). 1859–1883. 8 indexed citations
13.
Banjac, Goran, et al.. (2018). An Online Business Process Model-driven Generator of the Conceptual Database Model. 17. 1–9. 6 indexed citations
14.
Banjac, Goran & Paul J. Goulart. (2017). A Novel Approach for Solving Convex Problems with Cardinality Constraints. IFAC-PapersOnLine. 50(1). 13182–13187. 6 indexed citations
15.
Banjac, Goran, Kostas Margellos, & Paul J. Goulart. (2017). On the Convergence of a Regularized Jacobi Algorithm for Convex Optimization. IEEE Transactions on Automatic Control. 63(4). 1113–1119. 8 indexed citations
16.
Banjac, Goran, et al.. (2016). Energy potentials of military buildings. SHILAP Revista de lepidopterología. 64(1). 196–212.
17.
Vašak, Mario, et al.. (2015). Water Use Disaggregation Based on Classification of Feature Vectors Extracted from Smart Meter Data. Procedia Engineering. 119. 1381–1390. 7 indexed citations
18.
Banjac, Goran, Mario Vašak, & Mato Baotić. (2015). Adaptable urban water demand prediction system. Water Science & Technology Water Supply. 15(5). 958–964. 13 indexed citations
19.
Vašak, Mario, et al.. (2014). Dynamic Day-ahead Water Pricing Based on Smart Metering and Demand Prediction. Procedia Engineering. 89. 1031–1036. 11 indexed citations
20.
Banjac, Goran, Vedrana Spudić, & Mato Baotić. (2013). Tuning of model predictive controller for wind turbine load reduction. International Convention on Information and Communication Technology, Electronics and Microelectronics. 919–924.

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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