Pedro Garrancho

1.0k citations
19 papers · 528 indexed · h-index 10
Topics
Approximation Theory and Sequence Spaces (18 papers)Mathematical Approximation and Integration (10 papers)Iterative Methods for Nonlinear Equations (4 papers)
Partner nations
SpainRomaniaTürkiye

In The Last Decade

Pedro Garrancho

18 papers receiving 486 citations

Peers

Pedro Garrancho
Comparison fields: 5 of 89
  • Statistics and Probability 297
  • Numerical Analysis 235
  • Applied Mathematics 166
  • Computational Mechanics 38
  • Economics and Econometrics 33
Replace Daniel Cárdenas-Morales with:
Daniel Cárdenas-Morales Spain
Dragan Jukić Croatia
Vasile Preda Romania
Muhammad Zaini Ahmad Malaysia
Reiichiro Kawai Japan
Z. Drici United States
V. V. Buldygin Ukraine
Ali F. Jameel Malaysia
Dante Kalise United Kingdom
Sándor Komlósi Hungary
Pedro Garrancho relative to Daniel Cárdenas-Morales Spain Daniel Cárdenas-Morales's profile →
Citations per field
00.5×1.5×
Daniel Cárdenas-Morales · 1×
Citations per year

Countries citing papers authored by Pedro Garrancho

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Garrancho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedro Garrancho

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 18
2 3
3 23
4 11
5 27
6 38
7 3
8 12
9 0
10 1
11 27
12
Mathematics and Computers in Simulation
249
13 76
14 1
15 1
16 6
17 27
18 1
19 4

About Pedro Garrancho

Pedro Garrancho is a scholar working on Numerical Analysis, Statistics and Probability and Applied Mathematics, having authored 19 papers that have together received 528 indexed citations. Recurring topics across this work include Approximation Theory and Sequence Spaces (18 papers), Mathematical Approximation and Integration (10 papers) and Iterative Methods for Nonlinear Equations (4 papers). The work is most often cited by research in Numerical Analysis (235 citations), Statistics and Probability (297 citations) and Applied Mathematics (166 citations). Pedro Garrancho has collaborated with scholars based in Spain, Romania and Türkiye. Frequent co-authors include Daniel Cárdenas-Morales, A. Fraguela, Ioan Raşa, Tuncer Acar and Ali̇ Aral. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Applied Mathematics and Computation and Computers & Mathematics with Applications.

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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