Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Countries citing papers authored by H. Sira‐Ramírez
Since
Specialization
Citations
This map shows the geographic impact of H. Sira‐Ramírez'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. Sira‐Ramírez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Sira‐Ramírez more than expected).
This network shows the impact of papers produced by H. Sira‐Ramírez. 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. Sira‐Ramírez. The network helps show where H. Sira‐Ramírez may publish in the future.
Co-authorship network of co-authors of H. Sira‐Ramírez
This figure shows the co-authorship network connecting the top 25 collaborators of H. Sira‐Ramírez.
A scholar is included among the top collaborators of H. Sira‐Ramírez 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. Sira‐Ramírez. H. Sira‐Ramírez is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sira‐Ramírez, H. & R. Castro‐Linares. (2010). Proceedings of the IEEE Conference on Decision and Control.38 indexed citations
12.
Beltrán-Carbajal, Francisco, G. Silva‐Navarro, H. Sira‐Ramírez, & Andrés Blanco Ortega. (2010). Control Activo de Vibraciones Usando Identificación Algebraica en Línea y Modos Deslizantes. Computación y Sistemas. 13(3). 313–330.4 indexed citations
Becedas, Jonathan, et al.. (2008). Algebraic Observer to Estimate Unmeasured State Variables of DC Motors.. Engineering letters. 16. 248–255.5 indexed citations
15.
Becedas, Jonathan, et al.. (2007). Algebraic Identification Method for Mass-Spring-Damper System. Lecture notes in computer science. 2167(1). 788–793.2 indexed citations
16.
Poznyak, Alexander S., Wen Yu, Edgar N. Sánchez, & H. Sira‐Ramírez. (1998). Robust identification by dynamic neural networks using sliding mode learning. International Journal of Applied Mathematics and Computer Science. 8(1). 135–144.15 indexed citations
17.
Sira‐Ramírez, H. & Sarah K. Spurgeon. (1996). Robust Sliding Mode Control Using Measured Outputs. UCL Discovery (University College London).15 indexed citations
18.
Sira‐Ramírez, H., et al.. (1993). Adaptive learning in perceptrons: a sliding mode control approach. Pure mathematics and applications. 4(1). 99–133.1 indexed citations
19.
Sira‐Ramírez, H., et al.. (1990). Sliding mode control of nonlinear first-order distributed parameter systems. Pure mathematics and applications. 1. 123–141.1 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.