A.I. Sánchez

49 papers receiving 1.1k citations

Peers

A.I. Sánchez
Comparison fields: 5 of 100
  • Safety, Risk, Reliability and Quality 694
  • Statistics, Probability and Uncertainty 481
  • Software 246
  • Medical Laboratory Technology 67
  • Statistics and Probability 82
Replace Xiaolin Wang with:
Xiaolin Wang China
Qingqing Zhai China
Sharareh Taghipour Canada
Yong Sun Australia
Vasiliy Krivtsov United States
Qiuzhuang Sun Singapore
Michiel A.J. uit het Broek Netherlands
E.N. Pistikopoulos United Kingdom
Filippo De Carlo Italy
Zhichao Wang China
A.I. Sánchez relative to Xiaolin Wang China Xiaolin Wang's profile →
Citations per field
00.5×1.5×1.8×
Xiaolin Wang · 1×
Citations per year

Countries citing papers authored by A.I. Sánchez

Since Specialization
Citations

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

Fields of papers citing papers by A.I. Sánchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside A.I. 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 A.I. Sánchez Line = papers co-authored together A.I. Sánchez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999201
2
Splenic marginal zone lymphoma: a distinctive type of low-grade B-cell lymphoma. A clinicopathological study of 13 cases.
1995112
3 200091
4 200478
5 200477
6 200764
7 201852
8 200251
9 201247
10 200838
11 199934
12 201028
13 201727
14 200626
15 201525
16 200224
17 201621
18 201721
19 200818
20 201216

About A.I. Sánchez

A.I. Sánchez is a scholar working on Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality, Aerospace Engineering, Software and Control and Systems Engineering, having authored 49 papers that have together received 1.2k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (23 papers), Risk and Safety Analysis (17 papers), Probabilistic and Robust Engineering Design (15 papers), Nuclear Engineering Thermal-Hydraulics (10 papers), Software Reliability and Analysis Research (8 papers), Fault Detection and Control Systems (5 papers), Manufacturing Process and Optimization (3 papers) and Nuclear reactor physics and engineering (3 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (694 citations), Statistics, Probability and Uncertainty (481 citations), Software (246 citations), Medical Laboratory Technology (67 citations) and Statistics and Probability (82 citations). A.I. Sánchez has collaborated with scholars based in Spain, Colombia and United States. Frequent co-authors include S. Martorell, V. Serradell, S. Carlos, J.F. Villanueva, José Luis Pitarch, Aitor Goti, Aitor Oyarbide-Zubillaga, Eva Cristóbal, Elı́as Campo and Manuela Mollejo. Their work appears in journals such as Reliability Engineering & System Safety, Nuclear Engineering and Design, Mathematical and Computer Modelling, Applied Sciences and Production Planning & Control.

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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