Alan Veliz‐Cuba

1.3k total citations
28 papers, 672 citations indexed

About

Alan Veliz‐Cuba is a scholar working on Molecular Biology, Computational Theory and Mathematics and Statistical and Nonlinear Physics. According to data from OpenAlex, Alan Veliz‐Cuba has authored 28 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Alan Veliz‐Cuba's work include Gene Regulatory Network Analysis (22 papers), Bioinformatics and Genomic Networks (6 papers) and Neural dynamics and brain function (4 papers). Alan Veliz‐Cuba is often cited by papers focused on Gene Regulatory Network Analysis (22 papers), Bioinformatics and Genomic Networks (6 papers) and Neural dynamics and brain function (4 papers). Alan Veliz‐Cuba collaborates with scholars based in United States and India. Alan Veliz‐Cuba's co-authors include Brandilyn Stigler, Reinhard Laubenbacher, Abdul Salam Jarrah, Boris Aguilar, Krešimir Josić́, David Murrugarra, Zachary P. Kilpatrick, Seda Arat, Eduardo D. Sontag and Vladimir Itskov and has published in prestigious journals such as Bioinformatics, Trends in Ecology & Evolution and Automatica.

In The Last Decade

Alan Veliz‐Cuba

26 papers receiving 640 citations

Peers

Alan Veliz‐Cuba

CTM

GENET

BIOPH

Björn Samuelsson United States

Dmitriy Laschov Israel

Madalena Chaves France

Guy Karlebach United States

Julio Aracena Chile

Yoon Sup Choi South Korea

Jeong‐Rae Kim South Korea

Andrew Wuensche United Kingdom

Gabriele Lillacci United States

Bruce E. Shapiro United States

Björn Samuelsson United States

Alan Veliz‐Cuba

821 ×1.5

160 ×1.2

CTM

165 ×1.8

GENET

72 ×1.0

48 ×0.9

BIOPH

Citations per year, relative to Alan Veliz‐Cuba Alan Veliz‐Cuba (= 1×) peers Björn Samuelsson

Countries citing papers authored by Alan Veliz‐Cuba

Since Specialization

Citations

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

Fields of papers citing papers by Alan Veliz‐Cuba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan Veliz‐Cuba. 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 Alan Veliz‐Cuba. The network helps show where Alan Veliz‐Cuba may publish in the future.

Co-authorship network of co-authors of Alan Veliz‐Cuba

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

All Works

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20 of 20 papers shown

Kadelka, Claus, et al.. (2024). Modular construction of Boolean networks. Physica D Nonlinear Phenomena. 468. 134278–134278. 1 indexed citations

Veliz‐Cuba, Alan, et al.. (2024). A Unified Approach to Reverse Engineering and Data Selection for Unique Network Identification. SIAM Journal on Applied Dynamical Systems. 23(1). 592–615.

Murrugarra, David & Alan Veliz‐Cuba. (2022). An information theoretic approach for the inference of Boolean networks and functions from data: BoCSE. Patterns. 3(11). 100617–100617.

Voss, S. Randal, Jeramiah J. Smith, James R. Monaghan, et al.. (2021). HDAC Inhibitor Titration of Transcription and Axolotl Tail Regeneration. Frontiers in Cell and Developmental Biology. 9. 767377–767377. 2 indexed citations

Gomez, Marcella, et al.. (2020). Evolution of Cellular Differentiation: From Hypotheses to Models. Trends in Ecology & Evolution. 36(1). 49–60. 27 indexed citations

Kilpatrick, Zachary P., et al.. (2017). Evidence Accumulation and Change Rate Inference in Dynamic Environments.. CU Scholar (University of Colorado Boulder). 10 indexed citations

Veliz‐Cuba, Alan, et al.. (2016). AND-NOT LOGIC FRAMEWORK FOR STEADY STATE ANALYSIS OF BOOLEAN NETWORK MODELS. 1 indexed citations

Veliz‐Cuba, Alan, Zachary P. Kilpatrick, & Krešimir Josić́. (2016). Stochastic Models of Evidence Accumulation in Changing Environments. SIAM Review. 58(2). 264–289. 20 indexed citations

Veliz‐Cuba, Alan, et al.. (2015). Sources of Variability in a Synthetic Gene Oscillator. PLoS Computational Biology. 11(12). e1004674–e1004674. 14 indexed citations

10.

Veliz‐Cuba, Alan, Boris Aguilar, & Reinhard Laubenbacher. (2015). Dimension Reduction of Large Sparse AND-NOT Network Models. Electronic Notes in Theoretical Computer Science. 316. 83–95. 10 indexed citations

11.

Veliz‐Cuba, Alan, Harel Z. Shouval, Krešimir Josić́, & Zachary P. Kilpatrick. (2015). Networks that learn the precise timing of event sequences. Journal of Computational Neuroscience. 39(3). 235–254. 18 indexed citations

12.

Veliz‐Cuba, Alan, Aditya Kumar, & Krešimir Josić́. (2014). Piecewise Linear and Boolean Models of Chemical Reaction Networks. Bulletin of Mathematical Biology. 76(12). 2945–2984. 9 indexed citations

13.

Veliz‐Cuba, Alan, et al.. (2014). Steady state analysis of Boolean molecular network models via model reduction and computational algebra. BMC Bioinformatics. 15(1). 221–221. 43 indexed citations

14.

Curto, Carina, et al.. (2013). The Neural Ring: An Algebraic Tool for Analyzing the Intrinsic Structure of Neural Codes. Bulletin of Mathematical Biology. 75(9). 1571–1611. 34 indexed citations

15.

Veliz‐Cuba, Alan, et al.. (2012). On the Relationship of Steady States of Continuous and Discrete Models Arising from Biology. Bulletin of Mathematical Biology. 74(12). 2779–2792. 8 indexed citations

16.

Murrugarra, David, Alan Veliz‐Cuba, Boris Aguilar, Seda Arat, & Reinhard Laubenbacher. (2012). Modeling stochasticity and variability in gene regulatory networks. PubMed. 2012(1). 5–5. 58 indexed citations

17.

Veliz‐Cuba, Alan. (2011). Reduction of Boolean network models. Journal of Theoretical Biology. 289. 167–172. 76 indexed citations

18.

Jarrah, Abdul Salam, Reinhard Laubenbacher, & Alan Veliz‐Cuba. (2010). The Dynamics of Conjunctive and Disjunctive Boolean Network Models. Bulletin of Mathematical Biology. 72(6). 1425–1447. 38 indexed citations

19.

Veliz‐Cuba, Alan, Abdul Salam Jarrah, & Reinhard Laubenbacher. (2010). Polynomial algebra of discrete models in systems biology. Bioinformatics. 26(13). 1637–1643. 40 indexed citations

20.

Sontag, Eduardo D., Alan Veliz‐Cuba, Reinhard Laubenbacher, & Abdul Salam Jarrah. (2008). The Effect of Negative Feedback Loops on the Dynamics of Boolean Networks. Biophysical Journal. 95(2). 518–526. 46 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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