Alvaro Schwalb

56 total papers · 890 total citations
32 papers, 389 citations indexed

About

Alvaro Schwalb is a scholar working on Infectious Diseases, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Alvaro Schwalb has authored 32 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Infectious Diseases, 15 papers in Epidemiology and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Alvaro Schwalb's work include Tuberculosis Research and Epidemiology (16 papers), Mycobacterium research and diagnosis (6 papers) and Pneumonia and Respiratory Infections (5 papers). Alvaro Schwalb is often cited by papers focused on Tuberculosis Research and Epidemiology (16 papers), Mycobacterium research and diagnosis (6 papers) and Pneumonia and Respiratory Infections (5 papers). Alvaro Schwalb collaborates with scholars based in Peru, United Kingdom and United States. Alvaro Schwalb's co-authors include César Ugarte‐Gil, Carlos Seas, Fernando Mejía, Enrique Cornejo Cisneros, Paulo Ruíz-Grosso, Germán Málaga, Jorge Alave, Gabriel Carrasco‐Escobar, Eduardo Gotuzzo and Rein M G J Houben and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Alvaro Schwalb

29 papers receiving 378 citations

Author Peers

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

Author						Papers	Cites
Alvaro Schwalb	234	85	52	43	42	32	389
Marina Treskova	194 0.8×	83 1.0×	45 0.9×	48 1.1×	50 1.2×	27	414
Zahra Pashaei	239 1.0×	63 0.7×	51 1.0×	39 0.9×	54 1.3×	32	402
Hossein Mirzaei	155 0.7×	84 1.0×	35 0.7×	37 0.9×	64 1.5×	34	397
Jorge L. Maguiña	133 0.6×	69 0.8×	46 0.9×	37 0.9×	24 0.6×	45	429
Benjamin Tingey	108 0.5×	48 0.6×	53 1.0×	51 1.2×	60 1.4×	32	380
Banafsheh Moradmand Badie	247 1.1×	121 1.4×	62 1.2×	49 1.1×	25 0.6×	29	400
Aquiles R. Henríquez-Trujillo	125 0.5×	47 0.6×	34 0.7×	41 1.0×	76 1.8×	37	412
Pablo Méndez‐Hernández	95 0.4×	77 0.9×	40 0.8×	44 1.0×	55 1.3×	26	428
Seyed Ahmad Seyed Alinaghi	244 1.0×	87 1.0×	67 1.3×	53 1.2×	38 0.9×	33	422
María Aragón	138 0.6×	128 1.5×	49 0.9×	65 1.5×	37 0.9×	25	390

Countries citing papers authored by Alvaro Schwalb

Since Specialization

Citations

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

Fields of papers citing papers by Alvaro Schwalb

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alvaro Schwalb

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

All Works

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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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