E. Ruı́z-Velázquez

546 citations
37 papers · 421 indexed · h-index 10

E. Ruı́z-Velázquez

34 papers receiving 405 citations

Peers

E. Ruı́z-Velázquez
Comparison fields: 5 of 68
  • Endocrinology, Diabetes and Metabolism 246
  • Genetics 140
  • Control and Systems Engineering 109
  • Surgery 207
  • Health Information Management 14
Replace Ahmad Haidar with:
Ahmad Haidar Canada
Yazhou Tu United States
Alberto Castillo Spain
M. Dalla Mora Italy
Larry D. Pyeatt United States
G. Ciccarella Italy
Luming Tang China
Marco Cascio Italy
Shan Liang China
E. Ruı́z-Velázquez relative to Ahmad Haidar Canada Ahmad Haidar's profile →
Citations per field
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Ahmad Haidar · 1×
Citations per year

Countries citing papers authored by E. Ruı́z-Velázquez

Since Specialization
Citations

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

Fields of papers citing papers by E. Ruı́z-Velázquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Ruı́z-Velázquez. 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 E. Ruı́z-Velázquez. The network helps show where E. Ruı́z-Velázquez may publish in the future.

Co-authorship network

The 14 scholars most cited alongside E. Ruı́z-Velázquez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with E. Ruı́z-Velázquez Line = papers co-authored together E. Ruı́z-Velázquez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20220
3 20213
4 20200
5 20192
6 20186
7 20187
8 20170
9 20146
10
Subcutaneous blood glucose neural inverse optimal control for type 1 diabetes mellitus patients
20121
11 201228
12 201212
13 201219
14 20123
15 20113
16 20118
17 201113
18 20116
19 200934
20 200310

About E. Ruı́z-Velázquez

E. Ruı́z-Velázquez is a scholar working on Endocrinology, Diabetes and Metabolism, Control and Systems Engineering and Genetics, having authored 37 papers that have together received 421 indexed citations. Recurring topics across this work include Diabetes Management and Research (26 papers), Pancreatic function and diabetes (18 papers), Diabetes and associated disorders (14 papers), Advanced Control Systems Optimization (9 papers), Control Systems and Identification (5 papers), Adaptive Control of Nonlinear Systems (3 papers), Nonlinear Dynamics and Pattern Formation (3 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (246 citations), Genetics (140 citations) and Control and Systems Engineering (109 citations). E. Ruı́z-Velázquez has collaborated with scholars based in Mexico and Colombia. Frequent co-authors include Ricardo Femat, Daniel U. Campos‐Delgado, Alma Y. Alanís, Edgar N. Sánchez, Gualberto Solı́s-Perales, Fernando Ornelas-Téllez, José de Jesús Rubio, J. Humberto Pérez-Cruz, Antonio Gordillo‐Moscoso and Oscar D. Sánchez. Their work appears in journals such as Physics Letters A, Journal of the Franklin Institute and Applied Mathematics and Computation.

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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