Sergio A. Álvarez

95 total papers · 1.7k total citations
60 papers, 1.1k citations indexed

About

Sergio A. Álvarez is a scholar working on Endocrinology, Food Science and Artificial Intelligence. According to data from OpenAlex, Sergio A. Álvarez has authored 60 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Endocrinology, 13 papers in Food Science and 11 papers in Artificial Intelligence. Recurrent topics in Sergio A. Álvarez's work include Salmonella and Campylobacter epidemiology (13 papers), Escherichia coli research studies (11 papers) and Vibrio bacteria research studies (8 papers). Sergio A. Álvarez is often cited by papers focused on Salmonella and Campylobacter epidemiology (13 papers), Escherichia coli research studies (11 papers) and Vibrio bacteria research studies (8 papers). Sergio A. Álvarez collaborates with scholars based in United States, Chile and Canada. Sergio A. Álvarez's co-authors include Carolina Ruiz, Weiyang Lin, Carlos A. Jerez, Inés Contreras, Denisse Bravo, Anilei Hoare, Miguel A. Valvano, Mercedes Zaldı́var, Thomas E. Carter and Francisco Guerrero and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Applied and Environmental Microbiology.

In The Last Decade

Sergio A. Álvarez

56 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sergio A. Álvarez 247 206 151 149 146 60 1.1k
Huimin Qian 34 0.1× 277 1.3× 197 1.3× 182 1.2× 56 0.4× 100 1.3k
Jónathan Heras 39 0.2× 100 0.5× 175 1.2× 70 0.5× 140 1.0× 58 1.0k
Bernd Neumann 85 0.3× 75 0.4× 354 2.3× 41 0.3× 138 0.9× 98 1.3k
Yongjun Zheng 34 0.1× 114 0.6× 59 0.4× 82 0.6× 139 1.0× 99 1.4k
Xin Zhang 227 0.9× 56 0.3× 120 0.8× 513 3.4× 144 1.0× 55 1.3k
Jing Sha 70 0.3× 191 0.9× 71 0.5× 60 0.4× 129 0.9× 63 982
Akira Fukuda 30 0.1× 103 0.5× 83 0.5× 79 0.5× 158 1.1× 167 1.5k
Tingting Liang 287 1.2× 19 0.1× 201 1.3× 88 0.6× 391 2.7× 116 1.4k
Mei‐Hui Wang 49 0.2× 75 0.4× 89 0.6× 88 0.6× 168 1.2× 39 996
Xiaonan Zhao 37 0.1× 205 1.0× 64 0.4× 285 1.9× 410 2.8× 74 1.4k

Countries citing papers authored by Sergio A. Álvarez

Since Specialization
Citations

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

Fields of papers citing papers by Sergio A. Álvarez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergio A. Álvarez. 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 Sergio A. Álvarez. The network helps show where Sergio A. Álvarez may publish in the future.

Co-authorship network of co-authors of Sergio A. Álvarez

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026