Germán Hernández

414 total citations
22 papers, 122 citations indexed

About

Germán Hernández is a scholar working on Management Science and Operations Research, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Germán Hernández has authored 22 papers receiving a total of 122 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Management Science and Operations Research, 6 papers in Artificial Intelligence and 5 papers in Statistics and Probability. Recurrent topics in Germán Hernández's work include Multi-Criteria Decision Making (5 papers), Stock Market Forecasting Methods (5 papers) and Fuzzy Systems and Optimization (5 papers). Germán Hernández is often cited by papers focused on Multi-Criteria Decision Making (5 papers), Stock Market Forecasting Methods (5 papers) and Fuzzy Systems and Optimization (5 papers). Germán Hernández collaborates with scholars based in Colombia and United States. Germán Hernández's co-authors include Juan Carlos Figueroa–García, Javier Sandoval, Jaime Niño, Deon Garrett, Dipankar Dasgupta, Andrés Romero, Dipankar Dasgupta, Carlos Franco, Julián García and Fernando Niño and has published in prestigious journals such as SHILAP Revista de lepidopterología, SN Computer Science and Operations Research Perspectives.

In The Last Decade

Germán Hernández

16 papers receiving 117 citations

Peers

Germán Hernández

MSOR

AI

EE

CSE

FINAN

Karthyek Murthy Singapore

Rubén Ruiz-Torrubiano Spain

Ángela Blanco Spain

Davide Petturiti Italy

Chenhao Wang China

Renato Pelessoni Italy

Sergey Shorgin Russia

Łukasz Kruk Poland

Kristoffer Arnsfelt Hansen Denmark

Yashodhan Kanoria United States

Karthyek Murthy Singapore

Germán Hernández

110 ×1.9

MSOR

21 ×0.6

AI

14 ×0.5

EE

25 ×0.9

CSE

23 ×0.8

FINAN

Citations per year, relative to Germán Hernández Germán Hernández (= 1×) peers Karthyek Murthy

Countries citing papers authored by Germán Hernández

Since Specialization

Citations

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

Fields of papers citing papers by Germán Hernández

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Germán Hernández

This figure shows the co-authorship network connecting the top 25 collaborators of Germán Hernández. A scholar is included among the top collaborators of Germán Hernández 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 Germán Hernández. Germán Hernández 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

1.

Hernández, Germán, et al.. (2024). Deep Heterogeneous AutoML Trend Prediction Model for Algorithmic Trading in the USD/COP Colombian FX Market Through Limit Order Book (LOB). SN Computer Science. 5(5).

2.

Figueroa–García, Juan Carlos, et al.. (2023). Applied Computer Sciences in Engineering. Communications in computer and information science. 1 indexed citations

3.

Figueroa–García, Juan Carlos, Germán Hernández, & Carlos Franco. (2022). A review on history, trends and perspectives of fuzzy linear programming. Operations Research Perspectives. 9. 100247–100247. 6 indexed citations

4.

Hernández, Germán, et al.. (2022). On the Feasibility of Real-Time Prediction of Driver's Traffic Accident Risk with Auto ML using Demographics and Brain Concentration Levels Information. 1–5.

5.

Hernández, Germán, et al.. (2019). Time Dependent School Bus Routing. Revista ESPACIOS. 40(15).

6.

Pinzón, Yoan J., et al.. (2018). New Algorithms for δγ-Order Preserving Matching. SHILAP Revista de lepidopterología. 23(2). 2 indexed citations

7.

Sandoval, Javier, et al.. (2017). Clustering Algorithms for Risk-Adjusted Portfolio Construction. SSRN Electronic Journal.

8.

Sandoval, Javier, et al.. (2017). Clustering algorithms for Risk-Adjusted Portfolio Construction. Procedia Computer Science. 108. 1334–1343. 41 indexed citations

9.

Sandoval, Javier, Jaime Niño, Germán Hernández, & Andrea T. Cruz. (2016). Detecting Informative Patterns in Financial Market Trends Based on Visual Analysis. Procedia Computer Science. 80. 752–761. 3 indexed citations

10.

Hernández, Germán, et al.. (2015). High-frequency trading strategies using wavelet-transformed order book information and dynamic Bayesian networks. 435–442. 2 indexed citations

11.

Sandoval, Javier & Germán Hernández. (2015). Computational Visual Analysis of the Order Book Dynamics for Creating High-frequency Foreign Exchange Trading Strategies. Procedia Computer Science. 51. 1593–1602. 4 indexed citations

12.

Figueroa–García, Juan Carlos & Germán Hernández. (2014). A method for solving linear programming models with Interval Type-2 fuzzy constraints. Pesquisa Operacional. 34(1). 73–89. 21 indexed citations

13.

Figueroa–García, Juan Carlos, Germán Hernández, & Carlos Franco. (2013). Towards solving games with Type-2 fuzzy uncertainty. SHILAP Revista de lepidopterología. 18(2). 1 indexed citations

14.

Figueroa–García, Juan Carlos & Germán Hernández. (2013). A note on “Solving Fuzzy Linear Programming Problems with Interval Type-2 RHS”. 60. 591–594. 2 indexed citations

15.

Dasgupta, Dipankar, et al.. (2009). On the use of informed initialization and extreme solutions sub-population in multi-objective evolutionary algorithms. 58–65. 9 indexed citations

16.

Hernández, Germán, et al.. (2009). Utilización de las Máquinas con Vectores de Soporte para Regresión: M2 de Construcción en Bogotá. 6(2). 21–28.

17.

Dasgupta, Dipankar, et al.. (2008). A comparison of multiobjective evolutionary algorithms with informed initialization and kuhn-munkres algorithm for the sailor assignment problem. 2129–2134. 18 indexed citations

18.

Vidal, David, et al.. (2006). Evolutionary design of pseudorandom sequence generators based on cellular automata and its applicability in current cryptosystems. 1859–1860. 1 indexed citations

19.

Hernández, Germán, et al.. (1996). Memorias del Primer Congreso Colombiano de Neurocomputación.. Repositorio Digital - Academia Colombiana de Ciencias Exactas, Fisicas y Naturales.

20.

Hernández, Germán, et al.. (1993). Fundamentos de neurocomputación. Ingeniería e Investigación. 63–78. 1 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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