Jacek Gondzio

4.7k total citations
109 papers, 2.5k citations indexed

About

Jacek Gondzio is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Jacek Gondzio has authored 109 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Numerical Analysis, 61 papers in Computational Theory and Mathematics and 20 papers in Computational Mechanics. Recurrent topics in Jacek Gondzio's work include Advanced Optimization Algorithms Research (61 papers), Matrix Theory and Algorithms (35 papers) and Sparse and Compressive Sensing Techniques (17 papers). Jacek Gondzio is often cited by papers focused on Advanced Optimization Algorithms Research (61 papers), Matrix Theory and Algorithms (35 papers) and Sparse and Compressive Sensing Techniques (17 papers). Jacek Gondzio collaborates with scholars based in United Kingdom, Poland and Switzerland. Jacek Gondzio's co-authors include Andreas Grothey, Pedro Munari, Kimon Fountoulakis, Luca Bergamaschi, Roy Kouwenberg, J.‐P. Vial, Kristian Woodsend, Marco Colombo, Emmanuel Fragnière and Jean‐Louis Goffin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Management Science and European Journal of Operational Research.

In The Last Decade

Jacek Gondzio

104 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacek Gondzio United Kingdom 29 1.1k 968 434 388 318 109 2.5k
Samuel Burer United States 26 1.3k 1.2× 1.2k 1.3× 702 1.6× 372 1.0× 388 1.2× 60 2.8k
Jon Lee United States 26 706 0.7× 1.0k 1.1× 370 0.9× 766 2.0× 862 2.7× 172 3.8k
Stephen A. Vavasis United States 29 584 0.6× 1.0k 1.0× 710 1.6× 207 0.5× 335 1.1× 72 2.8k
Kazuo Murota Japan 34 656 0.6× 1.7k 1.8× 349 0.8× 446 1.1× 386 1.2× 215 4.1k
Marco Locatelli Italy 29 562 0.5× 1.0k 1.1× 170 0.4× 317 0.8× 173 0.5× 155 2.6k
Leo Liberti France 30 713 0.7× 914 0.9× 172 0.4× 588 1.5× 366 1.2× 166 2.9k
Farid Alizadeh United States 13 1.5k 1.4× 1.5k 1.5× 557 1.3× 454 1.2× 271 0.9× 29 2.7k
J. B. Rosen United States 27 1.4k 1.3× 1.4k 1.4× 416 1.0× 746 1.9× 287 0.9× 92 3.5k
Elizabeth D. Dolan United States 5 2.2k 2.0× 1.7k 1.7× 889 2.0× 491 1.3× 165 0.5× 7 3.2k
Romesh Saigal United States 23 896 0.8× 989 1.0× 325 0.7× 387 1.0× 305 1.0× 70 2.2k

Countries citing papers authored by Jacek Gondzio

Since Specialization
Citations

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

Fields of papers citing papers by Jacek Gondzio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacek Gondzio

This figure shows the co-authorship network connecting the top 25 collaborators of Jacek Gondzio. A scholar is included among the top collaborators of Jacek Gondzio 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 Jacek Gondzio. Jacek Gondzio 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.
Gondzio, Jacek. (2025). Interior point methods in the year 2025. SHILAP Revista de lepidopterología. 13. 100105–100105. 1 indexed citations
2.
Gondzio, Jacek, et al.. (2024). On the scalability of truss geometry and topology optimization with global stability constraints via chordal decomposition. Structural and Multidisciplinary Optimization. 68(1).
3.
Martí-García, S., et al.. (2022). Optimising portfolio diversification and dimensionality. Journal of Global Optimization. 85(1). 185–234. 1 indexed citations
4.
Gondzio, Jacek, et al.. (2022). General-purpose preconditioning for regularized interior point methods. Computational Optimization and Applications. 83(3). 727–757. 2 indexed citations
5.
Bellavia, Stefania, Jacek Gondzio, & Margherita Porcelli. (2021). A Relaxed Interior Point Method for Low-Rank Semidefinite Programming Problems with Applications to Matrix Completion. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 9 indexed citations
6.
Pearson, John W., et al.. (2020). Fast Solution Methods for Convex Quadratic Optimization of Fractional Differential Equations. SIAM Journal on Matrix Analysis and Applications. 41(3). 1443–1476. 2 indexed citations
7.
Munari, Pedro, et al.. (2019). The Robust Vehicle Routing Problem with Time Windows: Compact Formulation and Branch-Price-and-Cut Method. Transportation Science. 53(4). 1043–1066. 73 indexed citations
8.
Gondzio, Jacek & E. Alper Yıldırım. (2018). Global Solutions of Nonconvex Standard Quadratic Programs via Mixed\n Integer Linear Programming Reformulations. arXiv (Cornell University). 11 indexed citations
9.
Fountoulakis, Kimon & Jacek Gondzio. (2016). Performance of first- and second-order methods for $$\ell _1$$ ℓ 1 -regularized least squares problems. Computational Optimization and Applications. 65(3). 605–635. 9 indexed citations
10.
Fountoulakis, Kimon & Jacek Gondzio. (2016). Performance of first- and second-order methods for -regularized least squares problems. 2 indexed citations
11.
Bellavia, Stefania, Jacek Gondzio, & Benedetta Morini. (2013). A Matrix-Free Preconditioner for Sparse Symmetric Positive Definite Systems and Least-Squares Problems. SIAM Journal on Scientific Computing. 35(1). A192–A211. 27 indexed citations
12.
Gondzio, Jacek, et al.. (2012). GPU acceleration of the matrix-free interior point method. Lecture notes in computer science. 7203. 681–689. 10 indexed citations
13.
Gondzio, Jacek, et al.. (2012). New developments in the primal–dual column generation technique. European Journal of Operational Research. 224(1). 41–51. 55 indexed citations
14.
Fragnière, Emmanuel, et al.. (2010). Non-parametric liquidity adjusted VaR model: A stochastic programming approach. Journal of financial transformation. 28. 111–118. 1 indexed citations
15.
Gondzio, Jacek. (2010). Matrix-free interior point method. Computational Optimization and Applications. 51(2). 457–480. 57 indexed citations
16.
Bellavia, Stefania, Jacek Gondzio, & Benedetta Morini. (2010). Computational experience with numerical methods for nonnegative least-squares problems. Numerical Linear Algebra with Applications. 18(3). 363–385. 2 indexed citations
17.
Woodsend, Kristian & Jacek Gondzio. (2009). Hybrid MPI/OpenMP Parallel Linear Support Vector Machine Training. Journal of Machine Learning Research. 10(67). 1937–1953. 39 indexed citations
18.
Du, Huiqin, Pei-Jung Chung, Jacek Gondzio, & B. Mulgrew. (2008). Robust transmit beamforming based on probabilistic constraint. European Signal Processing Conference. 1–5. 2 indexed citations
19.
Gondzio, Jacek, et al.. (2003). Parallel interior-point solver for structured linear programs. Mathematical Programming. 96(3). 561–584. 64 indexed citations
20.
Gondzio, Jacek & Andreas Grothey. (2002). Reoptimization With the Primal-Dual Interior Point Method. SIAM Journal on Optimization. 13(3). 842–864. 41 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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