H. Daniel Patiño

737 total citations
29 papers, 555 citations indexed

About

H. Daniel Patiño is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, H. Daniel Patiño has authored 29 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Control and Systems Engineering, 8 papers in Artificial Intelligence and 7 papers in Mechanical Engineering. Recurrent topics in H. Daniel Patiño's work include Advanced Measurement and Metrology Techniques (5 papers), Greenhouse Technology and Climate Control (5 papers) and Neural Networks and Applications (4 papers). H. Daniel Patiño is often cited by papers focused on Advanced Measurement and Metrology Techniques (5 papers), Greenhouse Technology and Climate Control (5 papers) and Neural Networks and Applications (4 papers). H. Daniel Patiño collaborates with scholars based in Argentina, Spain and United States. H. Daniel Patiño's co-authors include Derong Liu, B. Kuchen, Ricardo Carelli, Eric Laciar, Agustina Garcés Correa, Max E. Valentinuzzi, E. Cuesta, J. Barreiro, Susana Martínez-Pellitero and Juan I. Giribet and has published in prestigious journals such as Computers and Electronics in Agriculture, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) and Measurement Science and Technology.

In The Last Decade

H. Daniel Patiño

26 papers receiving 524 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. Daniel Patiño Argentina 11 203 121 117 88 77 29 555
Kang Li China 12 124 0.6× 135 1.1× 56 0.5× 42 0.5× 119 1.5× 42 562
K. Ramkumar India 13 274 1.3× 101 0.8× 94 0.8× 55 0.6× 106 1.4× 73 711
Suzanne Lesecq France 11 106 0.5× 66 0.5× 182 1.6× 51 0.6× 176 2.3× 48 599
Régis Lengelle France 11 76 0.4× 181 1.5× 182 1.6× 52 0.6× 44 0.6× 32 555
J.M. Izquierdo Spain 17 203 1.0× 249 2.1× 105 0.9× 57 0.6× 144 1.9× 55 731
Sheng Fu China 12 166 0.8× 118 1.0× 28 0.2× 70 0.8× 31 0.4× 41 509
Tao Zou China 18 507 2.5× 123 1.0× 109 0.9× 80 0.9× 100 1.3× 106 1.1k
Chunbo Xiu China 14 177 0.9× 161 1.3× 125 1.1× 33 0.4× 227 2.9× 77 784
Cihan Karakuzu Türkiye 12 155 0.8× 183 1.5× 31 0.3× 84 1.0× 139 1.8× 34 517
Francesco Gianfelici Italy 10 79 0.4× 102 0.8× 44 0.4× 18 0.2× 42 0.5× 23 424

Countries citing papers authored by H. Daniel Patiño

Since Specialization
Citations

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

Fields of papers citing papers by H. Daniel Patiño

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. Daniel Patiño. 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 H. Daniel Patiño. The network helps show where H. Daniel Patiño may publish in the future.

Co-authorship network of co-authors of H. Daniel Patiño

This figure shows the co-authorship network connecting the top 25 collaborators of H. Daniel Patiño. A scholar is included among the top collaborators of H. Daniel Patiño 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 H. Daniel Patiño. H. Daniel Patiño 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.
Salazar, Eduardo, Mauricio E. Samper, & H. Daniel Patiño. (2023). Dynamic customer demand management: A reinforcement learning model based on real-time pricing and incentives. Renewable energy focus. 46. 39–56. 13 indexed citations
2.
3.
Scaglia, Gustavo, et al.. (2019). An algebra approach for nonlinear multivariable fed-batch bioprocess control. International Journal of Industrial and Systems Engineering. 33(1). 38–38. 2 indexed citations
4.
Patiño, H. Daniel, et al.. (2018). A Gaussian filtering method to reduce directionality on high-density point clouds digitized by a conoscopic holography sensor. Precision Engineering. 54. 91–98. 7 indexed citations
5.
Fernández, Pedro, et al.. (2017). Extrinsic calibration of a conoscopic holography system integrated in a CMM. Precision Engineering. 52. 484–493. 10 indexed citations
6.
Patiño, H. Daniel, et al.. (2016). Short-series Prediction with BEMA Approach: application to short rainfall series. IEEE Latin America Transactions. 14(8). 3892–3899. 7 indexed citations
7.
Cuesta, E., et al.. (2016). Testing coordinate measuring arms with a geometric feature-based gauge:in situfield trials. Measurement Science and Technology. 27(5). 55003–55003. 10 indexed citations
8.
Cuesta, E., et al.. (2015). Development of a Force Sensor Prototype Integrated on a Coordinate Measuring Arm. Procedia Engineering. 132. 998–1005. 2 indexed citations
9.
González, Rodrigo A., Juan I. Giribet, & H. Daniel Patiño. (2014). An approach to benchmarking of loosely coupled low-cost navigation systems. Mathematical and Computer Modelling of Dynamical Systems. 21(3). 272–287. 25 indexed citations
10.
Cuesta, E., et al.. (2013). Evaluation of AACMM Using the Virtual Circles Method. Procedia Engineering. 63. 243–251. 20 indexed citations
11.
Patiño, H. Daniel, et al.. (2011). Modelo auto regresivo no lineal basado en redes neuronales multicapa para pronóstico de series temporales. Computación y Sistemas. 14(4). 423–435. 1 indexed citations
12.
Patiño, H. Daniel, et al.. (2011). A Feed-Forward Neural Networks-Based Nonlinear Autoregressive Model for Forecasting Time Series. 14(4). 423–435. 13 indexed citations
13.
Patiño, H. Daniel, et al.. (2010). Time domain method for power line channel statistical identification. 2. 1–6.
14.
Patiño, H. Daniel, et al.. (2007). Approximate Optimal Control-Based Neurocontroller with a State Observation System for Seedlings Growth in Greenhouse. i and ii. 318–323. 4 indexed citations
15.
Patiño, H. Daniel, et al.. (2006). Optimal Control-Based Neurocontroller for Crop Growth in Greenhouse. i and ii. 398–403. 1 indexed citations
16.
Patiño, H. Daniel, et al.. (2005). Optimal greenhouse control of tomato-seedling crops. Computers and Electronics in Agriculture. 50(1). 70–82. 24 indexed citations
17.
Patiño, H. Daniel, et al.. (2005). Neuro-dynamic programming-based optimal control for crop growth in precision agriculture. 397–402. 5 indexed citations
18.
Patiño, H. Daniel, Ricardo Carelli, & B. Kuchen. (2002). Neural networks for advanced control of robot manipulators. IEEE Transactions on Neural Networks. 13(2). 343–354. 113 indexed citations
19.
Patiño, H. Daniel & Derong Liu. (2000). Neural network-based model reference adaptive control system. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 30(1). 198–204. 100 indexed citations
20.
Liu, Derong & H. Daniel Patiño. (1999). A self-learning ship steering controller based on adaptive Critic Designs. IFAC Proceedings Volumes. 32(2). 5070–5075. 3 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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