Narcís Avellana

977 total citations
10 papers, 418 citations indexed

About

Narcís Avellana is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Narcís Avellana has authored 10 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 4 papers in Artificial Intelligence and 3 papers in Management Science and Operations Research. Recurrent topics in Narcís Avellana's work include Smart Grid Energy Management (5 papers), Neural Networks and Applications (4 papers) and Auction Theory and Applications (2 papers). Narcís Avellana is often cited by papers focused on Smart Grid Energy Management (5 papers), Neural Networks and Applications (4 papers) and Auction Theory and Applications (2 papers). Narcís Avellana collaborates with scholars based in Spain, Belgium and Germany. Narcís Avellana's co-authors include Sergio Jurado, Mihail Mihaylov, Ann Nowé, Kristof Van Moffaert, Francisco Mugica, Àngela Nebot, Ildefons Magrans de Abril, Isel Grau, Roxana Rădulescu and Elena Valderrama and has published in prestigious journals such as Energy, Renewable Energy and IEEE International Conference on Neural Networks.

In The Last Decade

Narcís Avellana

10 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Narcís Avellana Spain	5	305	170	122	54	44	10	418
Sergio Jurado Spain	7	325 1.1×	171 1.0×	127 1.0×	58 1.1×	52 1.2×	11	448
C. Vyjayanthi India	12	287 0.9×	110 0.6×	120 1.0×	36 0.7×	15 0.3×	41	395
Amr Munshi Saudi Arabia	10	223 0.7×	80 0.5×	70 0.6×	58 1.1×	30 0.7×	25	402
Giuseppe Sciumè Italy	8	319 1.0×	200 1.2×	136 1.1×	56 1.0×	11 0.3×	28	471
Saima Aman United States	8	203 0.7×	97 0.6×	116 1.0×	107 2.0×	22 0.5×	14	439
Dabeeruddin Syed United States	11	343 1.1×	70 0.4×	118 1.0×	52 1.0×	35 0.8×	26	501
Junwei Cao China	8	202 0.7×	160 0.9×	97 0.8×	101 1.9×	16 0.4×	24	376
Juhar Abdella United Arab Emirates	9	264 0.9×	268 1.6×	159 1.3×	121 2.2×	36 0.8×	15	490
Ayman Esmat Spain	6	330 1.1×	161 0.9×	152 1.2×	47 0.9×	20 0.5×	8	434
Katie McConky United States	11	122 0.4×	65 0.4×	59 0.5×	83 1.5×	35 0.8×	22	336

Countries citing papers authored by Narcís Avellana

Since Specialization

Citations

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

Fields of papers citing papers by Narcís Avellana

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Narcís Avellana

This figure shows the co-authorship network connecting the top 25 collaborators of Narcís Avellana. A scholar is included among the top collaborators of Narcís Avellana 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 Narcís Avellana. Narcís Avellana 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.

Castells‐Rufas, David, et al.. (2022). Processor Optimization of an Energy-Efficient NDIR CO₂ Wireless Sensor Node. 13. 1–6. 2 indexed citations

2.

Mihaylov, Mihail, et al.. (2018). Comparing stakeholder incentives across state-of-the-art renewable support mechanisms. Renewable Energy. 131. 689–699. 17 indexed citations

3.

Mihaylov, Mihail, Sergio Jurado, Narcís Avellana, et al.. (2015). SCANERGY: a Scalable and Modular System for Energy Trading Between Prosumers. Adaptive Agents and Multi-Agents Systems. 1917–1918. 13 indexed citations

4.

Jurado, Sergio, Àngela Nebot, Francisco Mugica, & Narcís Avellana. (2015). Hybrid methodologies for electricity load forecasting: Entropy-based feature selection with machine learning and soft computing techniques. Energy. 86. 276–291. 152 indexed citations

5.

Mihaylov, Mihail, Sergio Jurado, Narcís Avellana, et al.. (2015). SCANERGY: a Scalable and Modular System for Energy Trading Between Prosumers (Demonstration). 2 indexed citations

6.

Mihaylov, Mihail, Sergio Jurado, Narcís Avellana, et al.. (2014). NRGcoin: Virtual currency for trading of renewable energy in smart grids. 1–6. 181 indexed citations

7.

Mihaylov, Mihail, Sergio Jurado, Kristof Van Moffaert, Narcís Avellana, & Ann Nowé. (2014). NRG-X-Change - A Novel Mechanism for Trading of Renewable Energy in Smart Grids. 101–106. 46 indexed citations

8.

Carrabina, Jordi, et al.. (2002). Two-bit weights are enough to solve vehicle license number recognition problem. IEEE International Conference on Neural Networks. 1242–1246. 2 indexed citations

9.

Avellana, Narcís, et al.. (2002). Design of a low-cost and high-speed neurocomputer system. 221–226. 2 indexed citations

10.

Avellana, Narcís, et al.. (2002). A configurable parallel neurocomputer. 55–58. 1 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.

Explore authors with similar magnitude of impact