J. Hervás

1.3k citations
60 papers · 975 · h-index 18

Impact in

Papers in

J. Hervás

57 papers receiving 925 citations

Peers

J. Hervás
Comparison fields: 5 of 90
  • Agronomy and Crop Science 300
  • Ecology, Evolution, Behavior and Systematics 250
  • Infectious Diseases 179
  • Animal Science and Zoology 95
  • Parasitology 56
Replace Peter L. Young with:
Peter L. Young United States
Simone Stoute United States
Hye-Ryoung Kim South Korea
P. Perreau France
Jinxiong Liu China
Xinglong Yu China
Ching‐Ho Wang Taiwan
Takeo Sugiura Japan
R. E. Pierson United States
Per Stålhandske Sweden
J. Hervás relative to Peter L. Young United States Peter L. Young's profile →
Citations per field
00.5×7.4×
Peter L. Young · 1×
Citations per year

Countries citing papers authored by J. Hervás

Since Specialization
Citations

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

Fields of papers citing papers by J. Hervás

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017116
2 199586
3 201759
4 199956
5 201440
6 199538
7
African swine fever and classical swine fever: a review of the pathogenesis.
200337
8 200131
9 201531
10 199526
11 199524
12 201624
13 201623
14 199720
15 199619
16 199718
17 199718
18 200218
19 199617
20 199517

About J. Hervás

J. Hervás is a scholar working on Electrical and Electronic Engineering, Infectious Diseases, Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics and Atomic and Molecular Physics, and Optics, having authored 60 papers that have together received 975 indexed citations. Recurring topics across this work include Advanced Fiber Optic Sensors (18 papers), Advanced Photonic Communication Systems (18 papers), Photonic and Optical Devices (14 papers), Vector-Borne Animal Diseases (12 papers), Animal Disease Management and Epidemiology (12 papers), Animal Virus Infections Studies (11 papers), Optical Network Technologies (10 papers) and Advanced Fiber Laser Technologies (10 papers). The work is most often cited by research in Agronomy and Crop Science (300 citations), Ecology, Evolution, Behavior and Systematics (250 citations), Infectious Diseases (179 citations), Animal Science and Zoology (95 citations) and Parasitology (56 citations). J. Hervás has collaborated with scholars based in Spain, United Kingdom and Morocco. Frequent co-authors include J.C. Gómez-Villamandos, Salvador Sales, David Barrera, L. Carrasco, M. A. Sierra, Philip Wilkinson, A. Méndez, J. Capmany, C. J. Villeda and Carlos R. Fernández‐Pousa. Their work appears in journals such as Journal of Comparative Pathology, Veterinary Record, Avian Pathology, Journal of Lightwave Technology and Veterinary Pathology.

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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