Francesc Serratosa

3.4k total citations
152 papers, 1.8k citations indexed

About

Francesc Serratosa is a scholar working on Organic Chemistry, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Francesc Serratosa has authored 152 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Organic Chemistry, 63 papers in Computer Vision and Pattern Recognition and 31 papers in Artificial Intelligence. Recurrent topics in Francesc Serratosa's work include Graph Theory and Algorithms (45 papers), Advanced Image and Video Retrieval Techniques (34 papers) and Advanced Graph Neural Networks (25 papers). Francesc Serratosa is often cited by papers focused on Graph Theory and Algorithms (45 papers), Advanced Image and Video Retrieval Techniques (34 papers) and Advanced Graph Neural Networks (25 papers). Francesc Serratosa collaborates with scholars based in Spain, Switzerland and France. Francesc Serratosa's co-authors include Miquel À. Pericàs, Alberto Sanfeliu, René Alquézar, Xavier Cortés, Albert Solé‐Ribalta, Albert Moyano, Eduard Valentí, Elena Carceller, Miquel Ferrer and Ernest Valveny and has published in prestigious journals such as Journal of the American Chemical Society, Accounts of Chemical Research and International Journal of Molecular Sciences.

In The Last Decade

Francesc Serratosa

146 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Francesc Serratosa Spain 24 772 634 580 188 177 152 1.8k
Zhi‐Hua Zhou China 16 422 0.5× 330 0.5× 792 1.4× 71 0.4× 46 0.3× 27 2.4k
Zhi-Ming Ma China 22 153 0.2× 246 0.4× 436 0.8× 85 0.5× 461 2.6× 108 2.4k
Takashi Washio Japan 20 238 0.3× 74 0.1× 618 1.1× 280 1.5× 224 1.3× 177 1.8k
Ralph C. Merkle United States 22 448 0.6× 98 0.2× 1.5k 2.5× 128 0.7× 344 1.9× 53 3.1k
Steven Diamond United States 22 240 0.3× 480 0.8× 135 0.2× 22 0.1× 44 0.2× 36 1.5k
Aleksandar Ilić Serbia 25 186 0.2× 472 0.7× 148 0.3× 145 0.8× 827 4.7× 140 2.1k
Rafael F. Schaefer Germany 21 291 0.4× 90 0.1× 489 0.8× 47 0.3× 258 1.5× 169 2.1k
Ki‐Young Choi South Korea 34 482 0.6× 201 0.3× 530 0.9× 49 0.3× 87 0.5× 332 4.9k
Sean O’Malley United States 24 103 0.1× 308 0.5× 560 1.0× 52 0.3× 81 0.5× 42 3.2k
Lijun Zhang China 23 305 0.4× 282 0.4× 516 0.9× 50 0.3× 32 0.2× 93 1.5k

Countries citing papers authored by Francesc Serratosa

Since Specialization
Citations

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

Fields of papers citing papers by Francesc Serratosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesc Serratosa

This figure shows the co-authorship network connecting the top 25 collaborators of Francesc Serratosa. A scholar is included among the top collaborators of Francesc Serratosa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Francesc Serratosa. Francesc Serratosa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Duncan, Neil, et al.. (2025). Automated prediction of spawning nights using machine learning analysis of flatfish behaviour. Smart Agricultural Technology. 12. 101668–101668.
2.
Serratosa, Francesc. (2024). Graphfingerprint: graph embedding of graphs with almost constant sub-structures. Pattern Analysis and Applications. 27(4).
3.
Serratosa, Francesc, et al.. (2021). On-line learning the graph edit distance costs. Pattern Recognition Letters. 146. 55–62. 1 indexed citations
4.
Conte, Donatello & Francesc Serratosa. (2020). Interactive online learning for graph matching using active strategies. Knowledge-Based Systems. 205. 106275–106275. 7 indexed citations
5.
Serratosa, Francesc, et al.. (2018). Embedding the node-to-node mappings to learn the Graph edit distance parameters. Pattern Recognition Letters. 112. 353–360. 10 indexed citations
6.
Serratosa, Francesc, et al.. (2018). Error-tolerant graph matching in linear computational cost using an initial small partial matching. Pattern Recognition Letters. 134. 10–19. 12 indexed citations
7.
Serratosa, Francesc & Xavier Cortés. (2015). Graph Edit Distance: Moving from global to local structure to solve the graph-matching problem. Pattern Recognition Letters. 65. 204–210. 23 indexed citations
8.
Cortés, Xavier & Francesc Serratosa. (2015). Learning graph-matching edit-costs based on the optimality of the oracle's node correspondences. Pattern Recognition Letters. 56. 22–29. 27 indexed citations
9.
Pelillo, Marcello, et al.. (2012). Computing the Graph Edit Distance Using Dominant Sets. ARCA (Università Ca' Foscari Venezia). 9 indexed citations
10.
Sánchez, David, Albert Solé‐Ribalta, Montserrat Batet, & Francesc Serratosa. (2011). Enabling semantic similarity estimation across multiple ontologies: An evaluation in the biomedical domain. Journal of Biomedical Informatics. 45(1). 141–155. 38 indexed citations
11.
Serratosa, Francesc, René Alquézar, & Alberto Sanfeliu. (2002). SYNTHESIS OF FUNCTION-DESCRIBED GRAPHS AND CLUSTERING OF ATTRIBUTED GRAPHS. International Journal of Pattern Recognition and Artificial Intelligence. 16(6). 621–655. 18 indexed citations
12.
Alquézar, René, et al.. (2000). Distance between Attributed Graphs and Function- Described Graphs Relaxing 2. 1 indexed citations
13.
Álvarez, Santiago & Francesc Serratosa. (1992). Symmetry guidelines for the design of convergent syntheses. On narcissistic coupling and la coupe du roi. Journal of the American Chemical Society. 114(7). 2623–2630. 7 indexed citations
14.
Valentí, Eduard, Miquel À. Pericàs, & Francesc Serratosa. (1990). Convenient synthesis of silylketenes from 1-tert-butoxy-2-silylethynes. The Journal of Organic Chemistry. 55(1). 395–397. 35 indexed citations
15.
Pericàs, Miquel À., Francesc Serratosa, & Eduard Valentí. (1987). Model theoretical study of 2 + 2 cycloadditions of dialkoxyethynes with heterocumulenes. Journal of the Chemical Society Perkin Transactions 2. 151–158. 2 indexed citations
16.
Almansa, Carmen, Elena Carceller, Albert Moyano, & Francesc Serratosa. (1986). Synthesis of tricyclo(5.2.1.04,10)decane-2,5,8-trione from deslongchamps's diketone. Tetrahedron. 42(13). 3637–3648. 7 indexed citations
17.
Serratosa, Francesc. (1973). Linnett's theory and the thermal stability of heterosubstituted acetylenes. Journal of Chemical Education. 50(6). 402–402. 7 indexed citations
18.
Font, Josep, Fernando López, & Francesc Serratosa. (1972). Intramolecular cyclization of tris-∝-diazoketones: a new stepwise synthesis of bullvalene. Tetrahedron Letters. 13(25). 2589–2590. 16 indexed citations
19.
ALGUERO, M., Joan Bosch, J. Castañer, et al.. (1962). The reaction of diazomethane with double bonds—I. Tetrahedron. 18(12). 1381–1394. 14 indexed citations
20.
Serratosa, Francesc. (1962). From Kekule to Schrödinger: Interlude to organic chemistry. Journal of Chemical Education. 39(12). 641–641. 2 indexed citations

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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