Daniel De Marco

627 total citations
18 papers, 265 citations indexed

About

Daniel De Marco is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel De Marco has authored 18 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Nuclear and High Energy Physics, 6 papers in Computer Networks and Communications and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel De Marco's work include Astrophysics and Cosmic Phenomena (7 papers), Dark Matter and Cosmic Phenomena (6 papers) and Wireless Communication Security Techniques (5 papers). Daniel De Marco is often cited by papers focused on Astrophysics and Cosmic Phenomena (7 papers), Dark Matter and Cosmic Phenomena (6 papers) and Wireless Communication Security Techniques (5 papers). Daniel De Marco collaborates with scholars based in United States, Italy and Netherlands. Daniel De Marco's co-authors include Pasquale Blasi, David L. Neuhoff, Todor Stanev, M. Vietri, D. Guetta, C. Ferrigno, F. W. Stecker, M. A. Malkan, Michelle Effros and Patricia María Hansen and has published in prestigious journals such as The Astrophysical Journal, IEEE Transactions on Information Theory and Journal of Cosmology and Astroparticle Physics.

In The Last Decade

Daniel De Marco

16 papers receiving 254 citations

Peers

Daniel De Marco
Comparison fields: 5 of 33
  • Nuclear and High Energy Physics 174
  • Astronomy and Astrophysics 79
  • Computer Networks and Communications 59
  • Electrical and Electronic Engineering 49
  • Artificial Intelligence 19
Replace M. V. Pruzhinskaya with:
M. V. Pruzhinskaya Russia
Vincenzo Innocente Switzerland
Michael Wolf United States
Natasha Bosanac United States
Martin T. Ozimek United States
Juan Jacobo Simón Spain
Michail Zhitomirskii Israel
V. V. Goryunov United Kingdom
Kimitoshi Tsutaya Japan
Manfredo P. do Carmo Brazil
M. V. Pruzhinskaya Russia View profile →
Citations per field, relative to Daniel De Marco
Daniel De Marco · 1×
Citations per year, relative to Daniel De Marco
Daniel De Marco · 1×

Countries citing papers authored by Daniel De Marco

Since Specialization
Citations

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

Fields of papers citing papers by Daniel De Marco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel De Marco

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 6
2 1
3 3
4 8
5 4
6 1
7 5
8 16
9 0
10 7
11 25
12 25
13 21
14
Asymptotic quantization and applications to sensor networks.
2
15 54
16 47
17 39
18
Marker Codes for Channels with Insertion, Deletion and Substitution Errors
1

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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