Mabel Sánchez

703 citations
47 papers · 491 · h-index 14

Impact in

Papers in

Mabel Sánchez

46 papers receiving 457 citations

Peers

Mabel Sánchez
Comparison fields: 5 of 64
  • Control and Systems Engineering 405
  • Statistics, Probability and Uncertainty 115
  • Analytical Chemistry 85
  • Computer Networks and Communications 59
  • Computational Theory and Mathematics 41
Replace Derya B. Özyurt with:
Derya B. Özyurt United States
Shima Khatibisepehr Canada
Willy Wojsznis United States
G.M. Stanley United States
Swanand Khare India
Bao Lin Denmark
Mark Kotanchek United States
Ping Duan China
Shu Xu United States
M.J. Willis United Kingdom
Mabel Sánchez relative to Derya B. Özyurt United States Derya B. Özyurt's profile →
Citations per field
00.5×2.9×
Derya B. Özyurt · 1×
Citations per year

Countries citing papers authored by Mabel Sánchez

Since Specialization
Citations

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

Fields of papers citing papers by Mabel Sánchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Mabel Sánchez, 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 Mabel Sánchez Line = papers co-authored together Mabel Sánchez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199644
2 199942
3 200041
4 201534
5 199932
6 200025
7 199925
8 200122
9 200419
10 200017
11 201716
12 202016
13 199914
14 201014
15 199211
16 200710
17 20039
18 19968
19 19997
20 20117

About Mabel Sánchez

Mabel Sánchez is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty, Analytical Chemistry, Artificial Intelligence and Mechanical Engineering, having authored 47 papers that have together received 491 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (34 papers), Advanced Control Systems Optimization (17 papers), Advanced Statistical Process Monitoring (12 papers), Control Systems and Identification (10 papers), Spectroscopy and Chemometric Analyses (8 papers), Mineral Processing and Grinding (5 papers), Process Optimization and Integration (4 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). The work is most often cited by research in Control and Systems Engineering (405 citations), Statistics, Probability and Uncertainty (115 citations), Analytical Chemistry (85 citations), Computer Networks and Communications (59 citations) and Computational Theory and Mathematics (41 citations). Mabel Sánchez has collaborated with scholars based in Argentina, United States and Australia. Frequent co-authors include Miguel J. Bagajewicz, José A. Romagnoli, Ricardo A. Maronna, Qiyou Jiang, Ignacio Ponzoni, Nélida B. Brignole, Adriana Brandolin, José L. Hernández, José L. Hernández-Ramos and Eduardo F. Camacho. Their work appears in journals such as Industrial & Engineering Chemistry Research, Computers & Chemical Engineering, AIChE Journal, Chemical Engineering Communications and Chemometrics and Intelligent Laboratory Systems.

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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