A. Rosa

36 papers receiving 422 citations

Peers

A. Rosa
Comparison fields: 5 of 59
  • Discrete Mathematics and Combinatorics 171
  • Computational Mathematics 5
  • Computational Theory and Mathematics 95
  • Artificial Intelligence 183
  • Electrical and Electronic Engineering 311
Replace András Recski with:
András Recski Hungary
Lorna Stewart Canada
Bin Dai China
Mark F. Flanagan Ireland
Xuehou Tan Japan
Valentin E. Brimkov United States
Krishnamurthy Krishnamurthy India
Nadia Salvatore Italy
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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 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197561
2 200738
3 200531
4 199327
5 200424
6 201122
7 199721
8 200119
9 200019
10 200918
11 201017
12 200415
13 198014
14 200214
15 201213
16 200813
17 197512
18 200711
19 199310
20 19979

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 Computational Theory and Mathematics, having authored 44 papers that have together received 466 indexed citations. Recurring topics across this work include graph theory and CDMA systems (28 papers), Finite Group Theory Research (14 papers), Coding theory and cryptography (12 papers), Control Systems and Identification (7 papers), Graph Labeling and Dimension Problems (5 papers), Limits and Structures in Graph Theory (5 papers), Probabilistic and Robust Engineering Design (3 papers) and Fault Detection and Control Systems (3 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (171 citations), Computational Mathematics (5 citations), Computational Theory and Mathematics (95 citations), Artificial Intelligence (183 citations) and Electrical and Electronic Engineering (311 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, Peter Horák, Vitaly Voloshin, R. C. Mullin, Roman Nedela, Kevin T. Phelps and Terry S. Griggs. Their work appears in journals such as Discrete Mathematics, Graphs and Combinatorics, Journal of Statistical Planning and Inference, Canadian Journal of Mathematics and Journal of Graph Theory.

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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