Daniel Romero

47 papers and 680 indexed citations i.

About

Daniel Romero is a scholar working on Computer Networks and Communications, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Daniel Romero has authored 47 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 17 papers in Signal Processing and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Daniel Romero’s work include Distributed Sensor Networks and Detection Algorithms (10 papers), Advanced Graph Neural Networks (7 papers) and Sparse and Compressive Sensing Techniques (7 papers). Daniel Romero is often cited by papers focused on Distributed Sensor Networks and Detection Algorithms (10 papers), Advanced Graph Neural Networks (7 papers) and Sparse and Compressive Sensing Techniques (7 papers). Daniel Romero collaborates with scholars based in Norway, Spain and United States. Daniel Romero's co-authors include Georgios B. Giannakis, Geert Leus, Meng Ma, Roberto López-Valcarce, Seung-Jun Kim, Vassilis N. Ioannidis, Dyonisius Dony Ariananda, Zhi Tian, Baltasar Beferull‐Lozano and Donghoon Lee and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and IEEE Communications Magazine.

In The Last Decade

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

Fields of papers citing papers by Daniel Romero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Romero

Since Specialization
Citations

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