A. Rosa

40 papers receiving 472 citations

Peers

A. Rosa
Comparison fields: 5 of 59
  • Discrete Mathematics and Combinatorics 198
  • Computational Mathematics 5
  • Computational Theory and Mathematics 110
  • Electrical and Electronic Engineering 359
  • Artificial Intelligence 203
Replace András Recski with:
András Recski Hungary
Lorna Stewart Canada
Shin‐ichi Tanigawa Japan
Alexander Healy United States
Sébastien Collette Belgium
Mark F. Flanagan Ireland
Bin Dai China
Krishnamurthy Krishnamurthy India
Bartolomeu F. Uchôa-Filho Brazil
Suneeta Ramaswami United States
A. Rosa relative to András Recski Hungary András Recski's profile →
Citations per field
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András Recski · 1×
Citations per year

Countries citing papers authored by A. Rosa

Since Specialization
Citations

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

Fields of papers citing papers by A. Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside A. Rosa, 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 A. Rosa Line = papers co-authored together A. Rosa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197568
2 200739
3 200531
4 199329
5 200424
6 201123
7 199722
8 200121
9 200020
10 200919
11 201018
12 197516
13 198015
14 200415
15 201214
16 200214
17 200814
18 199213
19 199312
20 198512

About A. Rosa

A. Rosa is a scholar working on Electrical and Electronic Engineering, Discrete Mathematics and Combinatorics, Artificial Intelligence, Control and Systems Engineering and Geometry and Topology, having authored 49 papers that have together received 523 indexed citations. Recurring topics across this work include graph theory and CDMA systems (32 papers), Finite Group Theory Research (17 papers), Coding theory and cryptography (13 papers), Control Systems and Identification (7 papers), Limits and Structures in Graph Theory (6 papers), Graph Labeling and Dimension Problems (5 papers), Mathematics and Applications (4 papers) and Probabilistic and Robust Engineering Design (3 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (198 citations), Computational Mathematics (5 citations), Computational Theory and Mathematics (110 citations), Electrical and Electronic Engineering (359 citations) and Artificial Intelligence (203 citations). A. Rosa has collaborated with scholars based in Canada, United States and Brazil. Frequent co-authors include C.C. Lindner, Ricardo J.G.B. Campello, W.C. Amaral, František Franěk, Terry S. Griggs, Vitaly Voloshin, R. C. Mullin, Peter Horák, Scott A. Vanstone and Kevin T. Phelps. Their work appears in journals such as Discrete Mathematics, Graphs and Combinatorics, Journal of Statistical Planning and Inference, Journal of Graph Theory and Canadian Journal of Mathematics.

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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