Heidi Taboada

32 papers receiving 551 citations

Peers

Heidi Taboada
Comparison fields: 5 of 80
  • Statistics, Probability and Uncertainty 171
  • Software 89
  • Safety, Risk, Reliability and Quality 178
  • Computational Theory and Mathematics 125
  • Industrial and Manufacturing Engineering 77
Replace Mohamed Arezki Mellal with:
Mohamed Arezki Mellal Algeria
Tsung-Jung Hsieh Taiwan
Igor Kozine Denmark
C.H. Lie South Korea
Laxminarayan Sahoo India
Yi-Chih Hsieh Taiwan
Krishna B. Misra India
Charles E. Ebeling United States
Ping‐Chen Chang Taiwan
Mahdi Karbasian Iran
Heidi Taboada relative to Mohamed Arezki Mellal Algeria Mohamed Arezki Mellal's profile →
Citations per field
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Mohamed Arezki Mellal · 1×
Citations per year

Countries citing papers authored by Heidi Taboada

Since Specialization
Citations

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

Fields of papers citing papers by Heidi Taboada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006137
2 2008125
3 200788
4 200850
5 201226
6 201620
7 201517
8 201214
9 201114
10 201211
11 20109
12 20119
13 20087
14 20127
15 20227
16 20127
17 20077
18 20226
19 20116
20 20202

About Heidi Taboada

Heidi Taboada is a scholar working on Computational Theory and Mathematics, Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty, Education and Industrial and Manufacturing Engineering, having authored 35 papers that have together received 588 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (9 papers), Probabilistic and Robust Engineering Design (7 papers), Reliability and Maintenance Optimization (6 papers), Sustainability in Higher Education (4 papers), Software Reliability and Analysis Research (4 papers), Engineering Education and Curriculum Development (3 papers), Advanced Queuing Theory Analysis (2 papers) and Engineering Education and Pedagogy (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (171 citations), Software (89 citations), Safety, Risk, Reliability and Quality (178 citations), Computational Theory and Mathematics (125 citations) and Industrial and Manufacturing Engineering (77 citations). Heidi Taboada has collaborated with scholars based in United States, Thailand and China. Frequent co-authors include David W. Coit, José Espiritu, Naruemon Wattanapongsakorn, Tongdan Jin, Kjell Hausken, Gregory Levitin, Haitao Liao, Mihalis Golias, Jesus A. Jimenez and Maria Boilé. Their work appears in journals such as Reliability Engineering & System Safety, Journal of Infrastructure Systems, Scientific Reports, Applied Sciences and Quality Technology & Quantitative Management.

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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