Fernando M. Silva

41 total papers · 671 total citations
21 papers, 119 citations indexed

About

Fernando M. Silva is a scholar working on Surgery, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Fernando M. Silva has authored 21 papers receiving a total of 119 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 7 papers in Computer Networks and Communications and 5 papers in Artificial Intelligence. Recurrent topics in Fernando M. Silva's work include Helicobacter pylori-related gastroenterology studies (8 papers), Eosinophilic Esophagitis (4 papers) and IoT and Edge/Fog Computing (3 papers). Fernando M. Silva is often cited by papers focused on Helicobacter pylori-related gastroenterology studies (8 papers), Eosinophilic Esophagitis (4 papers) and IoT and Edge/Fog Computing (3 papers). Fernando M. Silva collaborates with scholars based in Portugal, Brazil and United States. Fernando M. Silva's co-authors include Luı́s B. Almeida, Tomás Navarro-Rodríguez, Jaime Natan Eisig, Ricardo C. Barbuti, Rejane Mattar, Peter Malfertheiner, Schlioma Zaterka, Cláudio L. Hashimoto, Horácio C. Neto and Isabela M. Benseñor and has published in prestigious journals such as Gastroenterology, Helicobacter and BMC Gastroenterology.

In The Last Decade

Fernando M. Silva

18 papers receiving 110 citations

Author Peers

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

Author						Papers	Cites
Fernando M. Silva	64	32	30	20	20	21	119
Juan Liu	57 0.9×	38 1.2×	5 0.2×	12 0.6×	20 1.0×	24	247
Ahmed Moustafa	56 0.9×	14 0.4×	7 0.2×	5 0.3×	19 0.9×	29	152
Rong Tao	55 0.9×	8 0.3×	7 0.2×	6 0.3×	22 1.1×	19	240
Mark Sterling	30 0.5×	34 1.1×	14 0.5×	27 1.4×	9 0.5×	25	156
Elizabeth O’Sullivan	36 0.6×	37 1.2×	31 1.0×	5 0.3×	118 5.9×	16	285
Michael Fabian	66 1.0×	20 0.6×	2 0.1×	10 0.5×	11 0.6×	19	137
Scarlet Nazarian	62 1.0×	58 1.8×	10 0.3×		22 1.1×	19	214
Hongyi Zhang	96 1.5×	48 1.5×	3 0.1×	2 0.1×	22 1.1×	25	246
José Nóvoa	114 1.8×	48 1.5×	5 0.2×	57 2.9×	53 2.6×	20	263
Umang Arora	31 0.5×	5 0.2×	6 0.2×	4 0.2×	4 0.2×	38	125

Countries citing papers authored by Fernando M. Silva

Since Specialization

Citations

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

Fields of papers citing papers by Fernando M. Silva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando M. Silva. 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 Fernando M. Silva. The network helps show where Fernando M. Silva may publish in the future.

Co-authorship network of co-authors of Fernando M. Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando M. Silva. A scholar is included among the top collaborators of Fernando M. Silva 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 Fernando M. Silva. Fernando M. Silva 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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