L. Esteva

3.3k citations
70 papers · 2.4k · h-index 25

Impact in

Papers in

L. Esteva

67 papers receiving 2.2k citations

Peers

L. Esteva
Comparison fields: 5 of 104
  • Modeling and Simulation 987
  • Public Health, Environmental and Occupational Health 1.6k
  • Infectious Diseases 575
  • Geophysics 239
  • Genetics 487
Replace Philip A. Eckhoff with:
Philip A. Eckhoff United States
Lasse Engbo Christiansen Denmark
M. Gabriela M. Gomes Portugal
Edy Soewono Indonesia
Mark M. Tanaka Australia
Stephen A. Gourley United Kingdom
Marc Souris France
Nathan D. Grubaugh United States
Folashade B. Agusto United States
Gergely Röst Hungary
L. Esteva relative to Philip A. Eckhoff United States Philip A. Eckhoff's profile →
Citations per field
00.5×20×40×60×79.7×
Philip A. Eckhoff · 1×
Citations per year

Countries citing papers authored by L. Esteva

Since Specialization
Citations

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

Fields of papers citing papers by L. Esteva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998362
2 1999208
3 2003140
4 2000134
5 1983128
6 2010128
7 2005120
8 2009111
9 2005107
10
SEISMIC RISK AND SEISMIC DESIGN DECISIONS.
197057
11 200955
12 200946
13 198044
14 200144
15 198839
16 201438
17 201236
18 200636
19 200935
20 201535

About L. Esteva

L. Esteva is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation, Infectious Diseases, Genetics and Civil and Structural Engineering, having authored 70 papers that have together received 2.4k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (27 papers), COVID-19 epidemiological studies (15 papers), Mosquito-borne diseases and control (15 papers), Evolution and Genetic Dynamics (13 papers), Seismic Performance and Analysis (9 papers), Tuberculosis Research and Epidemiology (8 papers), Structural Health Monitoring Techniques (8 papers) and Probabilistic and Robust Engineering Design (6 papers). The work is most often cited by research in Modeling and Simulation (987 citations), Public Health, Environmental and Occupational Health (1.6k citations), Infectious Diseases (575 citations), Geophysics (239 citations) and Genetics (487 citations). L. Esteva has collaborated with scholars based in Mexico, Brazil and Colombia. Frequent co-authors include Cristóbal Vargas, C. A. Vargas, Hyun Mo Yang, Gustavo Cruz-Pacheco, S. K. Singh, Cláudia Pio Ferreira, Cruz Vargas‐De‐León, Carlos E. Vargas, Suani T. R. Pinho and Florisneide Rodrigues Barreto. Their work appears in journals such as Mathematical Biosciences, Bulletin of Mathematical Biology, Earthquake Engineering & Structural Dynamics, Journal of Seismology and Journal of Mathematical Biology.

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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