Pablo Fernández

701 citations
20 papers · 488 indexed · h-index 10

Pablo Fernández

18 papers receiving 459 citations

Peers

Pablo Fernández
Comparison fields: 5 of 113
  • Pollution 91
  • Computational Mathematics 4
  • Statistical and Nonlinear Physics 71
  • Management Information Systems 35
  • Plant Science 135
Replace Phuong Anh Nguyen with:
Phuong Anh Nguyen Vietnam
Tingqiang Chen China
Giuseppe Mangioni Italy
Yu-Xiao Zhu China
Irena Vodenska United States
Nasir Naveed Pakistan
Paulo Melo Portugal
Taufik Djatna Indonesia
Riza Batista-Navarro United Kingdom
Pablo Fernández relative to Phuong Anh Nguyen Vietnam Phuong Anh Nguyen's profile →
Citations per field
00.5×10×16.9×
Phuong Anh Nguyen · 1×
Citations per year

Countries citing papers authored by Pablo Fernández

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Fernández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 21 scholars most cited alongside Pablo Fernández, 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 Pablo Fernández Line = papers co-authored together Pablo Fernández links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20211
4
Exploring the relationship between KIBS co-locations and the innovativeness of manufacturing firms in Latin America
20203
5 20202
6 202028
7 20207
8 20173
9 201644
10 201613
11 201629
12 201520
13 201518
14 20159
15 201518
16 20144
17 2008210
18 200166
19 199811
20
Utilización de la fórmula de Black y Scholes
19911

About Pablo Fernández

Pablo Fernández is a scholar working on Discrete Mathematics and Combinatorics, Algebra and Number Theory, Pollution, Agronomy and Crop Science and Statistics and Probability, having authored 20 papers that have together received 488 indexed citations. Recurring topics across this work include Weed Control and Herbicide Applications (7 papers), Pesticide and Herbicide Environmental Studies (5 papers), Analytic Number Theory Research (4 papers), Plant tissue culture and regeneration (3 papers), Agronomic Practices and Intercropping Systems (2 papers), Advanced Mathematical Identities (2 papers), Advanced Combinatorial Mathematics (2 papers) and Product Development and Customization (1 paper). The work is most often cited by research in Pollution (91 citations), Computational Mathematics (4 citations), Statistical and Nonlinear Physics (71 citations), Management Information Systems (35 citations) and Plant Science (135 citations). Pablo Fernández has collaborated with scholars based in Spain, Iran and United States. Frequent co-authors include Rafael De Prado, Ricardo Alcántara‐de la Cruz, Ian P. McCarthy, M. D. Osuna, Javid Gherekhloo, Antonia M. Rojano‐Delgado, Marco Opazo‐Basáez, Lorea Narvaiza, Hugo E. Cruz-Hipólito and José Fernández. Their work appears in journals such as Frontiers in Plant Science, Crop Protection, Pest Management Science, International Journal of Number Theory and International Journal of Molecular Sciences.

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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