Miguel A. Mosteiro

41 papers receiving 244 citations

Peers

Miguel A. Mosteiro
Comparison fields: 5 of 42
  • Computer Networks and Communications 178
  • Electrical and Electronic Engineering 56
  • Information Systems 46
  • Artificial Intelligence 40
  • Computational Theory and Mathematics 24
Replace K. V. M. Naidu with:
K. V. M. Naidu United States
Ta Nguyen Binh Duong Singapore
Úrsula González-Nicolás Spain
Aditya Gopalan India
Yingpeng Sang China
Patrick K. Nicholson United States
Tatsuro Takahashi Japan
Carl Burch United States
Patrick Sénac France
Miguel A. Mosteiro relative to K. V. M. Naidu United States K. V. M. Naidu's profile →
Citations per field
00.5×4.4×
K. V. M. Naidu · 1×
Citations per year

Countries citing papers authored by Miguel A. Mosteiro

Since Specialization
Citations

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

Fields of papers citing papers by Miguel A. Mosteiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miguel A. Mosteiro. 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 Miguel A. Mosteiro. The network helps show where Miguel A. Mosteiro may publish in the future.

Co-authorship network of co-authors of Miguel A. Mosteiro

This figure shows the co-authorship network connecting the top 25 collaborators of Miguel A. Mosteiro. A scholar is included among the top collaborators of Miguel A. Mosteiro 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 Miguel A. Mosteiro. Miguel A. Mosteiro 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
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Reputation-Based Mechanisms for Reliable Crowdsourcing Computation
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Brief Announcement: Unbounded Contention Resolution in Multiple-Access Channels
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About Miguel A. Mosteiro

Miguel A. Mosteiro is a scholar working on Computer Networks and Communications, Management Science and Operations Research and Computer Science Applications, having authored 44 papers that have together received 252 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (16 papers), Cooperative Communication and Network Coding (14 papers) and Distributed systems and fault tolerance (8 papers). The work is most often cited by research in Computer Networks and Communications (178 citations), Computer Science Applications (19 citations) and Information Systems (46 citations). Miguel A. Mosteiro has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Antonio Fernández Anta, Martı́n Farach-Colton, Chryssis Georgiou, Michael A. Bender, Dariusz R. Kowalski, Lin Wang, Prudence W. H. Wong, Joerg Widmer, Vincenzo Mancuso and Ángel Sánchez. Their work appears in journals such as PLoS ONE, IEEE Transactions on Computers and Future Generation Computer Systems.

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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2026