Daniel Sánchez

161 papers receiving 2.6k citations

Peers

Daniel Sánchez
Comparison fields: 5 of 121
  • Computational Theory and Mathematics 1.1k
  • Signal Processing 680
  • Information Systems 1.2k
  • Artificial Intelligence 1.6k
  • Management Science and Operations Research 353
Replace Nick J. Cercone with:
Nick J. Cercone Canada
Umberto Straccia Italy
Xianzhong Zhou China
Salem Benferhat France
Wilfred Ng Hong Kong
Mustafa Mat Deris Malaysia
Shusaku Tsumoto Japan
Bernadette Bouchon‐Meunier France
Zongmin Ma China
Ben Kao Hong Kong
Daniel Sánchez relative to Nick J. Cercone Canada Nick J. Cercone's profile →
Citations per field
00.5×1.5×2.2×
Nick J. Cercone · 1×
Citations per year

Countries citing papers authored by Daniel Sánchez

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Sánchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003256
2 2008213
3 2000151
4 2002123
5 201391
6 200165
7 201560
8
A Fuzzy Approach to the Linguistic Summarization of Time Series.
201156
9 200753
10 201151
11 200346
12 200346
13 200244
14 200643
15 200041
16 200337
17 201835
18 200634
19 200633
20 200433

About Daniel Sánchez

Daniel Sánchez is a scholar working on Computational Theory and Mathematics, Signal Processing, Artificial Intelligence, Information Systems and Management Science and Operations Research, having authored 166 papers that have together received 2.7k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (83 papers), Data Mining Algorithms and Applications (48 papers), Data Management and Algorithms (47 papers), Multi-Criteria Decision Making (28 papers), Semantic Web and Ontologies (23 papers), Image Retrieval and Classification Techniques (22 papers), Fuzzy Logic and Control Systems (22 papers) and Advanced Algebra and Logic (15 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Signal Processing (680 citations), Information Systems (1.2k citations), Artificial Intelligence (1.6k citations) and Management Science and Operations Research (353 citations). Daniel Sánchez has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include M.A. Vila, Nicolás Marı́n, Miguel Delgado‐Rodríguez, José-Marı́a Serrano, Marı́a J. Martı́n-Bautista, Miguel Delgado, Fernando Berzal, Jesús Chamorro-Martínez, M. Dolores Ruiz and Ignacio José Blanco. Their work appears in journals such as Fuzzy Sets and Systems, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, IEEE Transactions on Fuzzy Systems, Information Sciences and Lecture notes in 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.

Explore authors with similar magnitude of impact