Inma T. Castro

1.7k citations
49 papers · 1.4k indexed · h-index 21
Topics
Reliability and Maintenance Optimization (38 papers)Statistical Distribution Estimation and Applications (28 papers)Software Reliability and Analysis Research (22 papers)
Partner nations
SpainFranceCanada

In The Last Decade

Inma T. Castro

49 papers receiving 1.3k citations

Peers

Inma T. Castro
Comparison fields: 5 of 62
  • Safety, Risk, Reliability and Quality 1.2k
  • Statistics and Probability 556
  • Software 544
  • Statistics, Probability and Uncertainty 467
  • Accounting 293
Replace Khac Tuan Huynh with:
Khac Tuan Huynh France
Jingyuan Shen China
Harold Ascher United States
Suzan Alaswad United Arab Emirates
J. Endrenyi Canada
Mayank Pandey Canada
Nabil Nahas Canada
S. Carlos Spain
Inma T. Castro relative to Khac Tuan Huynh France Khac Tuan Huynh's profile →
Citations per field
00.5×1.5×2.1×
Khac Tuan Huynh · 1×
Citations per year

Countries citing papers authored by Inma T. Castro

Since Specialization
Citations

This map shows the geographic impact of Inma T. Castro'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 Inma T. Castro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inma T. Castro more than expected).

Fields of papers citing papers by Inma T. Castro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Inma T. Castro. 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 Inma T. Castro. The network helps show where Inma T. Castro may publish in the future.

Co-authorship network of co-authors of Inma T. Castro

This figure shows the co-authorship network connecting the top 25 collaborators of Inma T. Castro. A scholar is included among the top collaborators of Inma T. Castro 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 Inma T. Castro. Inma T. Castro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 8
3 9
4 20
5 29
6 54
7 60
8 8
9 38
10 67
11 23
12 66
13 29
14 189
15 37
16 13
17 17
18 11
19 11
20 8

About Inma T. Castro

Inma T. Castro is a scholar working on Software, Safety, Risk, Reliability and Quality and Statistics and Probability, having authored 49 papers that have together received 1.4k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (38 papers), Statistical Distribution Estimation and Applications (28 papers) and Software Reliability and Analysis Research (22 papers). The work is most often cited by research in Software (544 citations), Safety, Risk, Reliability and Quality (1.2k citations) and Statistics and Probability (556 citations). Inma T. Castro has collaborated with scholars based in Spain, France and Canada. Frequent co-authors include Anne Barros, Christophe Bérenguer, Khac Tuan Huynh, Nuria Caballé, Sophie Mercier, Carlos J. Pérez, Jose M. Lanza-Gutiérrez, Rafael Pérez‐Ocón, Terje Aven and L. Landesa. Their work appears in journals such as European Journal of Operational Research, Journal of the Operational Research Society and Frontiers in Psychology.

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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