Constanza Riera

21 papers receiving 159 citations

Peers

Constanza Riera
Comparison fields: 5 of 22
  • Artificial Intelligence 158
  • Discrete Mathematics and Combinatorics 12
  • Computational Theory and Mathematics 40
  • Electrical and Electronic Engineering 87
  • Geometry and Topology 12
Replace Natalia Tokareva with:
Natalia Tokareva Russia
Patrick Felke Germany
Deepak Kumar Dalai India
Yann Laigle-Chapuy France
Marion Videau France
Zhengbang Zha China
Carl Bracken Ireland
Yin Tan Singapore
Ignacio Cascudo Netherlands
M.D. Yucel Türkiye
Constanza Riera relative to Natalia Tokareva Russia Natalia Tokareva's profile →
Citations per field
00.5×4.2×
Natalia Tokareva · 1×
Citations per year

Countries citing papers authored by Constanza Riera

Since Specialization
Citations

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

Fields of papers citing papers by Constanza Riera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Constanza Riera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Constanza Riera Line = papers co-authored together Constanza Riera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200643
2 202041
3 202128
4 202010
5 20196
6 20225
7 20234
8 20203
9
Spectral Properties of Boolean Functions, Graphs and Graph States
20053
10 20212
11 20102
12 20082
13 20212
14 20102
15 20212
16
One and Two-Variable Interlace Polynomials: A Spectral Interpretation
20051
17 20191
18 20201
19 20251
20 20101

About Constanza Riera

Constanza Riera is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computational Theory and Mathematics, Molecular Biology and Geometry and Topology, having authored 25 papers that have together received 162 indexed citations. Recurring topics across this work include Coding theory and cryptography (19 papers), graph theory and CDMA systems (8 papers), Cryptographic Implementations and Security (8 papers), Error Correcting Code Techniques (3 papers), Receptor Mechanisms and Signaling (3 papers), Graph theory and applications (3 papers), Chaos-based Image/Signal Encryption (2 papers) and Cellular Automata and Applications (2 papers). The work is most often cited by research in Artificial Intelligence (158 citations), Discrete Mathematics and Combinatorics (12 citations), Computational Theory and Mathematics (40 citations), Electrical and Electronic Engineering (87 citations) and Geometry and Topology (12 citations). Constanza Riera has collaborated with scholars based in Norway, United States and India. Frequent co-authors include Matthew G. Parker, Pantelimon Stănică, Patrick Felke, Haode Yan, Zhengchun Zhou, Sihem Mesnager, Shuxing Li, Lilya Budaghyan, Wilfried Meidl and Alexander Pott. Their work appears in journals such as Cryptography and Communications, Designs Codes and Cryptography, IEEE Transactions on Information Theory, Journal of Combinatorial Designs and Pediatric Critical Care Medicine.

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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