Enric Tejedor

624 total citations
20 papers, 274 citations indexed

About

Enric Tejedor is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems and Management. According to data from OpenAlex, Enric Tejedor has authored 20 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 10 papers in Hardware and Architecture and 5 papers in Information Systems and Management. Recurrent topics in Enric Tejedor's work include Distributed and Parallel Computing Systems (15 papers), Parallel Computing and Optimization Techniques (10 papers) and Advanced Data Storage Technologies (9 papers). Enric Tejedor is often cited by papers focused on Distributed and Parallel Computing Systems (15 papers), Parallel Computing and Optimization Techniques (10 papers) and Advanced Data Storage Technologies (9 papers). Enric Tejedor collaborates with scholars based in Switzerland, Spain and Germany. Enric Tejedor's co-authors include Rosa M. Badía, Jesús Labarta, Anna Queralt, Jordi Torres, Toni Cortés, Yolanda Becerra, D. Piparo, J. Álvarez Cid-Fuentes, Francesc Lordan and Daniele Lezzi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Future Generation Computer Systems and Journal of Grid Computing.

In The Last Decade

Enric Tejedor

17 papers receiving 265 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Enric Tejedor Switzerland 8 206 111 97 79 33 20 274
Ákos Frohner Switzerland 8 369 1.8× 112 1.0× 182 1.9× 90 1.1× 45 1.4× 12 408
A Casajús Ramo Spain 8 263 1.3× 102 0.9× 130 1.3× 34 0.4× 11 0.3× 22 306
Saba Sehrish United States 8 269 1.3× 175 1.6× 50 0.5× 72 0.9× 54 1.6× 25 397
A. Klimentov United States 10 232 1.1× 57 0.5× 126 1.3× 33 0.4× 14 0.4× 70 281
Jong Youl Choi United States 9 214 1.0× 59 0.5× 58 0.6× 95 1.2× 60 1.8× 18 287
Cheng-Gang Qin China 8 282 1.4× 263 2.4× 38 0.4× 39 0.5× 61 1.8× 25 378
David Dillow United States 12 396 1.9× 106 1.0× 28 0.3× 199 2.5× 22 0.7× 21 415
J. Álvarez Cid-Fuentes Spain 8 127 0.6× 75 0.7× 30 0.3× 20 0.3× 49 1.5× 14 303
S.D. Hammond United Kingdom 10 226 1.1× 61 0.5× 12 0.1× 205 2.6× 20 0.6× 24 291
Ruymán Reyes Spain 9 110 0.5× 45 0.4× 12 0.1× 124 1.6× 14 0.4× 20 192

Countries citing papers authored by Enric Tejedor

Since Specialization
Citations

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

Fields of papers citing papers by Enric Tejedor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enric Tejedor

This figure shows the co-authorship network connecting the top 25 collaborators of Enric Tejedor. A scholar is included among the top collaborators of Enric Tejedor 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 Enric Tejedor. Enric Tejedor 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.
Blomer, Jakob, et al.. (2023). RDataFrame enhancements for HEP analyses. Journal of Physics Conference Series. 2438(1). 12116–12116. 1 indexed citations
2.
Tejedor, Enric, et al.. (2020). A New PyROOT: Modern, Interoperable and More Pythonic. SHILAP Revista de lepidopterología. 245. 6004–6004. 6 indexed citations
3.
Piparo, D., Philippe Canal, G. Ganis, et al.. (2019). RDataFrame: Easy Parallel ROOT Analysis at 100 Threads. SHILAP Revista de lepidopterología. 214. 6029–6029. 19 indexed citations
4.
Piparo, D., et al.. (2019). A Parallelised ROOT for Future HEP Data Processing. SHILAP Revista de lepidopterología. 214. 5033–5033.
5.
Bocchi, Enrico, Hugo Gonzalez, Pere Mato, et al.. (2019). Facilitating Collaborative Analysis in SWAN. SHILAP Revista de lepidopterología. 214. 7022–7022. 1 indexed citations
6.
Piparo, D., et al.. (2019). Apache Spark usage and deployment models for scientific computing. SHILAP Revista de lepidopterología. 214. 7020–7020. 3 indexed citations
7.
Amádio, G., et al.. (2018). Increasing Parallelism in the ROOT I/O Subsystem. Journal of Physics Conference Series. 1085. 32014–32014.
8.
Amádio, G., Jakob Blomer, Philippe Canal, et al.. (2018). Novel functional and distributed approaches to data analysis available in ROOT. Journal of Physics Conference Series. 1085. 42008–42008. 1 indexed citations
9.
Avati, V., Enrico Bocchi, L. Grzanka, et al.. (2018). Big Data Tools and Cloud Services for High Energy Physics Analysis in TOTEM Experiment. CERN Document Server (European Organization for Nuclear Research). 664. 5–6. 1 indexed citations
10.
Piparo, D., Enric Tejedor, G. Ganis, et al.. (2017). Expressing Parallelism with ROOT. Journal of Physics Conference Series. 898. 72022–72022. 2 indexed citations
11.
Tejedor, Enric, J. Álvarez Cid-Fuentes, & Rosa M. Badía. (2016). Infrastructure-agnostic programming and interoperable execution in heterogeneous grids. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 35(4). 986–1004. 1 indexed citations
12.
Piparo, D., et al.. (2016). SWAN: A service for interactive analysis in the cloud. Future Generation Computer Systems. 78. 1071–1078. 31 indexed citations
13.
Tejedor, Enric, Yolanda Becerra, Anna Queralt, et al.. (2015). PyCOMPSs: Parallel computational workflows in Python. The International Journal of High Performance Computing Applications. 31(1). 66–82. 91 indexed citations
14.
Lordan, Francesc, Enric Tejedor, Jorge Ejarque, et al.. (2013). ServiceSs: An Interoperable Programming Framework for the Cloud. Journal of Grid Computing. 12(1). 67–91. 62 indexed citations
15.
Tejedor, Enric, Montse Farreras, David Grove, et al.. (2012). A high‐productivity task‐based programming model for clusters. Concurrency and Computation Practice and Experience. 24(18). 2421–2448. 7 indexed citations
16.
Tejedor, Enric, Francesc Lordan, & Rosa M. Badía. (2011). Exploiting Inherent Task-Based Parallelism in Object-Oriented Programming. 10. 74–81. 1 indexed citations
17.
Tejedor, Enric, Montse Farreras, David Grove, et al.. (2011). ClusterSs. 267–268. 15 indexed citations
18.
Tejedor, Enric, Jorge Ejarque, Francesc Lordan, et al.. (2011). A Cloud-unaware Programming Model for Easy Development of Composite Services. Zenodo (CERN European Organization for Nuclear Research). abs 907 4. 375–382. 9 indexed citations
19.
Tejedor, Enric, Rosa M. Badía, Romina Royo, & Josep Lluís Gelpí. (2010). Enabling HMMER for the Grid with COMP Superscalar. Procedia Computer Science. 1(1). 2629–2638.
20.
Tejedor, Enric & Rosa M. Badía. (2008). COMP Superscalar: Bringing GRID Superscalar and GCM Together. 3. 185–193. 23 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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