Juan C. Vera

1.3k total citations
56 papers, 693 citations indexed

About

Juan C. Vera is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Mathematical Physics. According to data from OpenAlex, Juan C. Vera has authored 56 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computational Theory and Mathematics, 14 papers in Numerical Analysis and 12 papers in Mathematical Physics. Recurrent topics in Juan C. Vera's work include Advanced Optimization Algorithms Research (14 papers), Stochastic processes and statistical mechanics (12 papers) and Complexity and Algorithms in Graphs (11 papers). Juan C. Vera is often cited by papers focused on Advanced Optimization Algorithms Research (14 papers), Stochastic processes and statistical mechanics (12 papers) and Complexity and Algorithms in Graphs (11 papers). Juan C. Vera collaborates with scholars based in United States, Netherlands and Canada. Juan C. Vera's co-authors include Luis F. Zuluaga, Javier Peña, Alan Frieze, Colin Cooper, Sylvie Corteel, Abraham D. Flaxman, Dan L. Sackett, Kenn Holmbeck, Robert Visse and Sergey Leikin and has published in prestigious journals such as Cancer Research, European Journal of Operational Research and Operations Research.

In The Last Decade

Juan C. Vera

53 papers receiving 655 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan C. Vera United States 14 246 144 96 92 86 56 693
Oliver Gross Switzerland 13 617 2.5× 66 0.5× 35 0.4× 52 0.6× 117 1.4× 46 1.5k
Olivier Dubois France 16 223 0.9× 31 0.2× 18 0.2× 220 2.4× 12 0.1× 37 1.0k
Jean‐Philippe P. Richard United States 18 195 0.8× 147 1.0× 15 0.2× 35 0.4× 50 0.6× 59 933
Renate Winkler Germany 11 91 0.4× 157 1.1× 39 0.4× 83 0.9× 15 0.2× 26 483
J. Wojciechowski Poland 10 129 0.5× 8 0.1× 12 0.1× 66 0.7× 27 0.3× 67 426
Xu An Wang China 18 177 0.7× 68 0.5× 110 1.1× 124 1.3× 19 0.2× 222 1.5k
J. Michael Steele United States 9 67 0.3× 11 0.1× 38 0.4× 20 0.2× 61 0.7× 32 513
José Blanchet United States 18 69 0.3× 82 0.6× 30 0.3× 41 0.4× 828 9.6× 158 1.5k
Takeo Yamada Japan 15 116 0.5× 13 0.1× 11 0.1× 138 1.5× 40 0.5× 56 796

Countries citing papers authored by Juan C. Vera

Since Specialization
Citations

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

Fields of papers citing papers by Juan C. Vera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan C. Vera. 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 Juan C. Vera. The network helps show where Juan C. Vera may publish in the future.

Co-authorship network of co-authors of Juan C. Vera

This figure shows the co-authorship network connecting the top 25 collaborators of Juan C. Vera. A scholar is included among the top collaborators of Juan C. Vera 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 Juan C. Vera. Juan C. Vera 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.
Klerk, Etienne de & Juan C. Vera. (2024). The link between <inline-formula><tex-math id="M1">$ 1 $</tex-math></inline-formula>-norm approximation and effective Positivstellensätze for the hypercube. Numerical Algebra Control and Optimization. 16(0). 84–104.
2.
Vera, Juan C., et al.. (2024). Reducing Nonnegativity over General Semialgebraic Sets to Nonnegativity over Simple Sets. SIAM Journal on Optimization. 34(2). 1970–2006.
3.
Sijtsma, Klaas, et al.. (2022). Sparsifying the least-squares approach to PCA: comparison of lasso and cardinality constraint. Advances in Data Analysis and Classification. 17(1). 269–286. 1 indexed citations
4.
Vera, Juan C., et al.. (2021). On the $P_3$-Hull Number of Kneser Graphs. The Electronic Journal of Combinatorics. 28(3). 1 indexed citations
5.
Vera, Juan C., et al.. (2017). Computing near-optimal Value-at-Risk portfolios using integer programming techniques. European Journal of Operational Research. 266(1). 304–315. 11 indexed citations
6.
Huisman, Dennis, et al.. (2017). A heuristic for real-time crew rescheduling during small disruptions. Public Transport. 9(1-2). 325–342. 8 indexed citations
7.
He, Qi‐Ming, Hanqin Zhang, & Juan C. Vera. (2012). On Some Properties of Bivariate Exponential Distributions. Stochastic Models. 28(2). 187–206. 5 indexed citations
8.
He, Qi‐Ming, Hanqin Zhang, & Juan C. Vera. (2011). Majorization and Extremal PH Distributions.. Mammalia. 107–121. 1 indexed citations
9.
Ghaddar, Bissan, Juan C. Vera, & Miguel F. Anjos. (2010). An Iterative Scheme for Valid Polynomial Inequality Generation in Binary Polynomial Programming. Research portal (Tilburg University). 1–17. 1 indexed citations
10.
Makareeva, Elena, Juan C. Vera, Dan L. Sackett, et al.. (2010). Carcinomas Contain a Matrix Metalloproteinase–Resistant Isoform of Type I Collagen Exerting Selective Support to Invasion. Cancer Research. 70(11). 4366–4374. 84 indexed citations
11.
Peña, Javier, et al.. (2010). Computing general static-arbitrage bounds for European basket options via Dantzig-Wolfe decomposition. Data Archiving and Networked Services (DANS). 5(2). 65–74. 8 indexed citations
12.
Du, Donglei, et al.. (2007). Improved bounds for the symmetric rendezvous value on the line. Symposium on Discrete Algorithms. 69–78. 4 indexed citations
13.
Peña, Javier, Juan C. Vera, & Luis F. Zuluaga. (2007). Exploiting equalities in polynomial programming. Operations Research Letters. 36(2). 223–228. 5 indexed citations
14.
Du, Donglei, et al.. (2007). Improved Bounds for the Symmetric Rendezvous Value on the Line. Operations Research. 56(3). 772–782. 8 indexed citations
15.
Vera, Juan C., et al.. (2007). A primal–dual symmetric relaxation for homogeneous conic systems. Journal of Complexity. 23(2). 245–261. 10 indexed citations
16.
Vera, Juan C., et al.. (2006). Independence and coloring properties of direct products of some vertex-transitive graphs. Discrete Mathematics. 306(18). 2275–2281. 12 indexed citations
17.
Flaxman, Abraham D., Alan Frieze, & Juan C. Vera. (2006). A Geometric Preferential Attachment Model of Networks. Internet Mathematics. 3(2). 187–205. 1 indexed citations
18.
Chakrabarti, Soumen, Alan Frieze, & Juan C. Vera. (2005). The influence of search engines on preferential attachment. Symposium on Discrete Algorithms. 293–300. 20 indexed citations
19.
Flaxman, Abraham D., Alan Frieze, & Juan C. Vera. (2005). Adversarial deletion in a scale free random graph process. Symposium on Discrete Algorithms. 287–292. 7 indexed citations
20.
Hernández, Julio A., Jorge Fischbarg, & Juan C. Vera. (1996). Modeling Facilitative Sugar Transporters: Transitions Between Single and Double Ligand Occupancy of Multiconformational Channel Models Explain Anomalous Kinetics. The Journal of Membrane Biology. 149(1). 57–69. 4 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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