Marco Budinich

27 papers receiving 320 citations

Peers

Marco Budinich
Comparison fields: 5 of 68
  • Computational Theory and Mathematics 107
  • Discrete Mathematics and Combinatorics 17
  • Artificial Intelligence 163
  • Industrial and Manufacturing Engineering 49
  • Geometry and Topology 29
Replace Ingo Althöfer with:
Ingo Althöfer Germany
John B. Fraleigh
Gianna M. Del Corso Italy
Aravindan Vijayaraghavan United States
Sushant Sachdeva United States
Thorsten Theobald Germany
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Citations per field
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Citations per year

Countries citing papers authored by Marco Budinich

Since Specialization
Citations

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

Fields of papers citing papers by Marco Budinich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Maximum Clique Problem
1999131
2 199654
3 200243
4 200321
5 199518
6 199210
7 20067
8 19977
9 20245
10 19955
11 19915
12 19905
13 19915
14 19904
15 20154
16
The Extended Fock Basis of Clifford Algebra
20143
17 19923
18 20162
19 19912
20 20192

About Marco Budinich

Marco Budinich is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Geometry and Topology and Signal Processing, having authored 29 papers that have together received 348 indexed citations. Recurring topics across this work include Neural Networks and Applications (11 papers), Fuzzy Logic and Control Systems (5 papers), Blind Source Separation Techniques (4 papers), Radiation Detection and Scintillator Technologies (3 papers), Algorithms and Data Compression (3 papers), Algebraic and Geometric Analysis (2 papers), Face and Expression Recognition (2 papers) and Finite Group Theory Research (2 papers). The work is most often cited by research in Computational Theory and Mathematics (107 citations), Discrete Mathematics and Combinatorics (17 citations), Artificial Intelligence (163 citations), Industrial and Manufacturing Engineering (49 citations) and Geometry and Topology (29 citations). Marco Budinich has collaborated with scholars based in Italy, Austria and United States. Frequent co-authors include Marcello Pelillo, Immanuel M. Bomze, Pãnos M. Pardalos, Cláudio Rossi, E. Milotti, John G. Taylor, Paolo Budinich, Susana Cecilia Esquivel, P. Giannetti and D. Passuello. Their work appears in journals such as Neural Computation, Computer Physics Communications, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Discrete Applied Mathematics and Theoretical Computer Science.

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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