Bruno Apolloni

1.3k citations
98 papers · 690 · h-index 14

Impact in

Papers in

Bruno Apolloni

87 papers receiving 652 citations

Peers

Bruno Apolloni
Comparison fields: 5 of 105
  • Artificial Intelligence 367
  • Statistics and Probability 66
  • Computational Theory and Mathematics 110
  • Signal Processing 61
  • Management Science and Operations Research 62
Replace Timothy J. Hickey with:
Timothy J. Hickey United States
Regino Criado Spain
Akira Ichikawa Japan
Jiji Zhang United States
Mladen Kolar United States
Larry Wasserman United Kingdom
Onureena Banerjee United States
Stefan Heinrich Germany
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Citations per field
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Citations per year

Countries citing papers authored by Bruno Apolloni

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Apolloni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989122
2
What a neural net needs to know about emotion words
199949
3 201644
4 200231
5
A numerical implementation of "quantum annealing"
198824
6 201523
7 200022
8
Algorithmic inference in machine learning
200320
9 199816
10 200416
11 200815
12 199115
13 200614
14 199713
15 200913
16 200911
17 19979
18 20079
19 20129
20 20129

About Bruno Apolloni

Bruno Apolloni is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 98 papers that have together received 690 indexed citations. Recurring topics across this work include Neural Networks and Applications (29 papers), Machine Learning and Algorithms (17 papers), Machine Learning and Data Classification (6 papers), Algorithms and Data Compression (6 papers), Face and Expression Recognition (6 papers), Neural dynamics and brain function (5 papers), Advanced Memory and Neural Computing (5 papers) and Fuzzy Logic and Control Systems (5 papers). The work is most often cited by research in Artificial Intelligence (367 citations), Statistics and Probability (66 citations), Computational Theory and Mathematics (110 citations), Signal Processing (61 citations) and Management Science and Operations Research (62 citations). Bruno Apolloni has collaborated with scholars based in Italy, United Kingdom and Switzerland. Frequent co-authors include D. de Falco, Simone Bassis, C. A. A. de Carvalho, Dario Malchiodi, G. Palmas, Sabrina Gaito, Ellen Douglas‐Cowie, Winfried A. Fellenz, Roddy Cowie and Anna Maria Zanaboni. Their work appears in journals such as Neurocomputing, Information Sciences, Theoretical Computer Science, Biological Cybernetics and Acta Astronautica.

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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