Loïc Cerf

426 total citations
10 papers, 110 citations indexed

About

Loïc Cerf is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Loïc Cerf has authored 10 papers receiving a total of 110 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Signal Processing and 4 papers in Information Systems. Recurrent topics in Loïc Cerf's work include Data Management and Algorithms (5 papers), Algorithms and Data Compression (3 papers) and Data Mining Algorithms and Applications (3 papers). Loïc Cerf is often cited by papers focused on Data Management and Algorithms (5 papers), Algorithms and Data Compression (3 papers) and Data Mining Algorithms and Applications (3 papers). Loïc Cerf collaborates with scholars based in Brazil, France and United States. Loïc Cerf's co-authors include Wagner Meira, Mohammed J. Zaki, Mehdi Kaytoue, Gustavo G. Nascimento, Chedy Raïssi, Clara Guerra-Duarte, Franck Molina, Francisco Santos Schneider, Ricardo Andrez Machado‐de‐Ávila and Christophe Nguyen and has published in prestigious journals such as Scientific Reports, Data Mining and Knowledge Discovery and International Journal of Computational Intelligence Systems.

In The Last Decade

Loïc Cerf

8 papers receiving 104 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Loïc Cerf Brazil	4	31	31	29	28	25	10	110
Guixing Wu Canada	6	7 0.2×	21 0.7×	11 0.4×	8 0.3×	245 9.8×	12	300
Michael Himsolt Germany	4	14 0.5×	11 0.4×	23 0.8×	9 0.3×	45 1.8×	5	86
Adam Groce United States	4	41 1.3×	8 0.3×	10 0.3×	13 0.5×	5 0.2×	7	116
David Froelicher United States	7	16 0.5×	3 0.1×	20 0.7×	16 0.6×	12 0.5×	11	218
Jesmin Jahan Tithi United States	8	38 1.2×	3 0.1×	18 0.6×	9 0.3×	12 0.5×	22	176
Sarvenaz Choobdar Portugal	6	20 0.6×	5 0.2×	31 1.1×	9 0.3×	9 0.4×	10	119
Chien-Cheng Lin Taiwan	7	51 1.6×	40 1.3×	8 0.3×	4 0.1×	15 0.6×	13	136
Pascal Berrang Germany	8	15 0.5×	9 0.3×	27 0.9×	37 1.3×	14 0.6×	16	218
Hannah Blau United States	8	13 0.4×	4 0.1×	69 2.4×	4 0.1×	6 0.2×	16	191
Baoyu Jing United States	10	11 0.4×	18 0.6×	12 0.4×	6 0.2×	31 1.2×	18	276

Countries citing papers authored by Loïc Cerf

Since Specialization

Citations

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

Fields of papers citing papers by Loïc Cerf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Loïc Cerf

This figure shows the co-authorship network connecting the top 25 collaborators of Loïc Cerf. A scholar is included among the top collaborators of Loïc Cerf 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 Loïc Cerf. Loïc Cerf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Santos, Vinícius F. dos, et al.. (2020). Climbing the Hill with ILP to Grow Patterns in Fuzzy Tensors. International Journal of Computational Intelligence Systems. 13(1). 1036–1036.

2.

Cerf, Loïc, et al.. (2019). Mining skypatterns in fuzzy tensors. Data Mining and Knowledge Discovery. 33(5). 1298–1322. 2 indexed citations

3.

Cerf, Loïc, Francisco Santos Schneider, Christophe Nguyen, et al.. (2018). Computational B-cell epitope identification and production of neutralizing murine antibodies against Atroxlysin-I. Scientific Reports. 8(1). 14904–14904. 28 indexed citations

4.

Cerf, Loïc, et al.. (2018). Mining High-Utility Patterns in Uncertain Tensors. Procedia Computer Science. 126. 403–412. 1 indexed citations

5.

Nascimento, Gustavo G., et al.. (2014). Modeling and Analyzing the Video Game Live-Streaming Community. 1–9. 38 indexed citations

6.

Cerf, Loïc, et al.. (2014). Reachability Queries in Very Large Graphs: A Fast Refined Online Search Approach. Movebank. 33 indexed citations

7.

Cerf, Loïc & Wagner Meira. (2014). Complete discovery of high-quality patterns in large numerical tensors. 448–459. 4 indexed citations

8.

Cerf, Loïc, et al.. (2013). Constraint-Based Search of Straddling Biclusters and Discriminative Patterns. Cadernos de Linguística e Teoria da Literatura (Universidade Federal de Minas Gerais). 4(2). 114–123. 2 indexed citations

9.

Guerra, Pedro, et al.. (2011). Exploiting Temporal Locality to Determine User Bias in Microblogging Platforms. Cadernos de Linguística e Teoria da Literatura (Universidade Federal de Minas Gerais). 2(3). 273–288.

10.

Cerf, Loïc, et al.. (2011). Distributed Skycube Computation with Anthill. 3896 lncs. 33–40. 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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