J. Ignacio Alvarez-Hamelin

27 papers receiving 578 citations

Peers

J. Ignacio Alvarez-Hamelin
Comparison fields: 5 of 87
  • Statistical and Nonlinear Physics 367
  • Computer Networks and Communications 181
  • Artificial Intelligence 136
  • Computer Vision and Pattern Recognition 83
  • Computational Theory and Mathematics 82
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Countries citing papers authored by J. Ignacio Alvarez-Hamelin

Since Specialization
Citations

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

Fields of papers citing papers by J. Ignacio Alvarez-Hamelin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Ignacio Alvarez-Hamelin. 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 J. Ignacio Alvarez-Hamelin. The network helps show where J. Ignacio Alvarez-Hamelin may publish in the future.

Co-authorship network of co-authors of J. Ignacio Alvarez-Hamelin

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 3
4 6
5 3
6
Unveiling the MPLS Structure on Internet Topology
0
7 5
8
Socioeconomic correlations in communication networks
1
9
Social Events in a Time-Varying Mobile Phone Graph
3
10 1
11 41
12 1
13 149
14 18
15 5
16 61
17 0
18
Traceroute-like exploration of unknown networks: a statistical analysis
1
19
k-core decomposition: a tool for the analysis of large scale Internet graphs
18
20
Large scale networks fingerprinting and visualization using the k-core decomposition
182

About J. Ignacio Alvarez-Hamelin

J. Ignacio Alvarez-Hamelin is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Media Technology, having authored 36 papers that have together received 607 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (16 papers), Opinion Dynamics and Social Influence (9 papers) and Network Traffic and Congestion Control (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (367 citations), Transportation (58 citations) and Computer Networks and Communications (181 citations). J. Ignacio Alvarez-Hamelin has collaborated with scholars based in Argentina, France and United States. Frequent co-authors include Alessandro Vespignani, Luca Dall’Asta, Alain Barrat, Mariano G. Beiró, Alexei Vázquez, Carlos Sarraute, Aline Carneiro Viana, Marián Boguñá, M. Ángeles Serrano and Nicolas Schabanel. Their work appears in journals such as Scientific Reports, Physica A Statistical Mechanics and its Applications and ACM SIGCOMM Computer Communication Review.

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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