Francesc Sebé

1.7k citations
54 papers · 912 · h-index 15

Impact in

Papers in

Francesc Sebé

47 papers receiving 846 citations

Peers

Francesc Sebé
Comparison fields: 5 of 81
  • Artificial Intelligence 611
  • Computer Science Applications 88
  • Information Systems 293
  • Environmental Engineering 97
  • Computer Networks and Communications 137
Replace Jinyuan Jia with:
Jinyuan Jia China
Jason O. Hallstrom United States
Shaohua Wang United States
Bin Tan United States
Thomas Brinkhoff Germany
Mohamed Sarwat United States
Bobby D. Gerardo Philippines
Wenwen Gong China
Francesc Sebé relative to Jinyuan Jia China Jinyuan Jia's profile →
Citations per field
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Citations per year

Countries citing papers authored by Francesc Sebé

Since Specialization
Citations

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

Fields of papers citing papers by Francesc Sebé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008190
2 2016105
3 200694
4 200977
5 200772
6 200550
7 200835
8 201533
9 200827
10 201620
11 202315
12 201515
13 202314
14 201414
15 201614
16 200913
17 201510
18 20149
19 20058
20 20098

About Francesc Sebé

Francesc Sebé is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 54 papers that have together received 912 indexed citations. Recurring topics across this work include Cryptography and Data Security (23 papers), Internet Traffic Analysis and Secure E-voting (15 papers), Privacy-Preserving Technologies in Data (14 papers), Advanced Steganography and Watermarking Techniques (13 papers), Chaos-based Image/Signal Encryption (9 papers), Vehicular Ad Hoc Networks (VANETs) (7 papers), Blockchain Technology Applications and Security (4 papers) and Remote Sensing and LiDAR Applications (4 papers). The work is most often cited by research in Artificial Intelligence (611 citations), Computer Science Applications (88 citations), Information Systems (293 citations), Environmental Engineering (97 citations) and Computer Networks and Communications (137 citations). Francesc Sebé has collaborated with scholars based in Spain, Australia and Germany. Frequent co-authors include Josep Domingo‐Ferrer, Antoni Martínez-Ballesté, Josep M. Mateo‐Sanz, J.-J. Quisquater, Yves Deswarte, Alexandre Viejo, Agustí Solanas, Vanesa Daza, Eduard Gregorio and Joan R. Rosell-Polo. Their work appears in journals such as Computer Networks, Computer Communications, International Journal of Information Security, Applied Sciences and IEEE Transactions on Vehicular Technology.

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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