Daniel Simón

About

Daniel Simón is a scholar working on Artificial Intelligence, Surgery and Computer Networks and Communications. According to data from OpenAlex, Daniel Simón has authored 13 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Surgery and 2 papers in Computer Networks and Communications. Recurrent topics in Daniel Simón’s work include Internet Traffic Analysis and Secure E-voting (3 papers), Adrenal and Paraganglionic Tumors (2 papers) and Network Security and Intrusion Detection (2 papers). Daniel Simón is often cited by papers focused on Internet Traffic Analysis and Secure E-voting (3 papers), Adrenal and Paraganglionic Tumors (2 papers) and Network Security and Intrusion Detection (2 papers). Daniel Simón collaborates with scholars based in United States, United Kingdom and India. Daniel Simón's co-authors include Michael Palese, Venkata N. Padmanabhan, Alf Zugenmaier, Helen J. Wang, Chuanxiong Guo, Ernst R. H. van Eck, Erik M. Kelder, David M. Pickup, Mark Chang and Ramsay L. Kuo and has published in prestigious journals such as Journal of Materials Chemistry, Urology and SIAM Journal on Computing.

In The Last Decade

Co-authorship network of co-authors of Daniel Simón i

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Fields of papers citing papers by Daniel Simón

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Simón

Since Specialization

Citations

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

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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