P. Jodrá

578 citations
29 papers · 407 · h-index 12

Impact in

Papers in

P. Jodrá

29 papers receiving 396 citations

Peers

P. Jodrá
Comparison fields: 5 of 67
  • Statistics and Probability 281
  • Statistics, Probability and Uncertainty 152
  • Safety, Risk, Reliability and Quality 47
  • Algebra and Number Theory 17
  • Finance 34
Replace Frosso S. Makri with:
Frosso S. Makri Greece
M. V. Johns United States
Danny Dyer United States
William G. Bulgren United States
Y. S. Sathe India
R. Srinivasan United States
Pali Sen United States
A. I. Shawky Saudi Arabia
Abbas Mahdavi Iran
Fatemah Alqallaf Kuwait
P. Jodrá relative to Frosso S. Makri Greece Frosso S. Makri's profile →
Citations per field
00.5×
Frosso S. Makri · 1×
Citations per year

Countries citing papers authored by P. Jodrá

Since Specialization
Citations

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

Fields of papers citing papers by P. Jodrá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside P. Jodrá, 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 P. Jodrá Line = papers co-authored together P. Jodrá links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201079
2 200236
3 201532
4 201728
5 200628
6 200925
7 200519
8 202217
9 202215
10 201813
11 201612
12 201611
13 201611
14 200711
15 20049
16 20088
17 20188
18 20086
19 20135
20 20135

About P. Jodrá

P. Jodrá is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Biomedical Engineering, Algebra and Number Theory and Applied Mathematics, having authored 29 papers that have together received 407 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (16 papers), Advanced Statistical Methods and Models (13 papers), Sports Dynamics and Biomechanics (5 papers), Statistical Methods and Bayesian Inference (4 papers), Probabilistic and Robust Engineering Design (4 papers), Analytic Number Theory Research (3 papers), Multidisciplinary Science and Engineering Research (3 papers) and Optimization and Search Problems (2 papers). The work is most often cited by research in Statistics and Probability (281 citations), Statistics, Probability and Uncertainty (152 citations), Safety, Risk, Reliability and Quality (47 citations), Algebra and Number Theory (17 citations) and Finance (34 citations). P. Jodrá has collaborated with scholars based in Spain, India and Chile. Frequent co-authors include M.D. Jiménez–Gamero, José A. Adell, María Virtudes Alba Fernández, Javier Tejel, Héctor W. Gómez, Fernando Jiménez, Mohd. Arshad, S Aswathy and Y. Chalco-Cano. Their work appears in journals such as Mathematics and Computers in Simulation, Mathematical Methods in the Applied Sciences, The Ramanujan Journal, Networks and Algorithmica.

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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