Miguel Rebollo

870 total citations
55 papers, 331 citations indexed

About

Miguel Rebollo is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Miguel Rebollo has authored 55 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Networks and Communications, 21 papers in Artificial Intelligence and 19 papers in Information Systems. Recurrent topics in Miguel Rebollo's work include Service-Oriented Architecture and Web Services (14 papers), Peer-to-Peer Network Technologies (13 papers) and Multi-Agent Systems and Negotiation (13 papers). Miguel Rebollo is often cited by papers focused on Service-Oriented Architecture and Web Services (14 papers), Peer-to-Peer Network Technologies (13 papers) and Multi-Agent Systems and Negotiation (13 papers). Miguel Rebollo collaborates with scholars based in Spain, Switzerland and Italy. Miguel Rebollo's co-authors include Vicente Botti, Vicente Julián, Carlos Carrascosa, Elena del Val, Adriana Giret, Estefanía Argente, Jorge M. Agüero, Eva Onaindía, José Soler and Penélope Hernández and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Miguel Rebollo

50 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Miguel Rebollo Spain	12	121	104	72	56	40	55	331
Jiachen Hou China	7	61 0.5×	69 0.7×	132 1.8×	40 0.7×	29 0.7×	19	331
Suzanne Pinson France	10	141 1.2×	74 0.7×	33 0.5×	31 0.6×	93 2.3×	33	353
Yong Sun China	10	57 0.5×	160 1.5×	145 2.0×	55 1.0×	21 0.5×	43	325
Nicoletta Fornara Switzerland	9	321 2.7×	54 0.5×	74 1.0×	80 1.4×	41 1.0×	34	448
Dilpreet Singh India	6	97 0.8×	89 0.9×	115 1.6×	11 0.2×	48 1.2×	16	321
Chihab Hanachi France	9	92 0.8×	76 0.7×	83 1.2×	41 0.7×	30 0.8×	34	305
Dimitar Trajanov North Macedonia	10	187 1.5×	83 0.8×	72 1.0×	11 0.2×	109 2.7×	58	448
Fatih Çavdur Türkiye	11	80 0.7×	14 0.1×	119 1.7×	70 1.3×	56 1.4×	43	358
Holger Ziekow Germany	11	136 1.1×	204 2.0×	118 1.6×	36 0.6×	23 0.6×	42	445
Martin J. Kollingbaum United Kingdom	14	328 2.7×	62 0.6×	50 0.7×	190 3.4×	88 2.2×	54	635

Countries citing papers authored by Miguel Rebollo

Since Specialization

Citations

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

Fields of papers citing papers by Miguel Rebollo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miguel Rebollo

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

All Works

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20 of 20 papers shown

Rebollo, Miguel, et al.. (2024). Extending the Framework for Developing Intelligent Virtual Environments (FIVE) with Artifacts for Modeling Internet of Things Devices and a New Decentralized Federated Learning Based on Consensus for Dynamic Networks. Sensors. 24(4). 1342–1342. 3 indexed citations

Hervás, David, et al.. (2022). COVID-19 outbreaks analysis in the Valencian Region of Spain in the prelude of the third wave. Frontiers in Public Health. 10. 1010124–1010124.

Rebollo, Miguel, R. M. Benito, Juan Carlos Losada, & Javier Galeano. (2021). Improvement of Contact Tracing with Citizen’s Distributed Risk Maps. Entropy. 23(5). 638–638. 1 indexed citations

Rebollo, Miguel, et al.. (2020). Supportive consensus. PLoS ONE. 15(12). e0243215–e0243215.

Onaindía, Eva, et al.. (2019). Modelling Emotion Dynamics on Twitter via Hidden Markov Model. 245–249. 3 indexed citations

Rebollo, Miguel, et al.. (2016). Sentiment analysis in social networks through topic modeling. Language Resources and Evaluation. 46–53. 11 indexed citations

Val, Elena del, et al.. (2015). A formal model based on Game Theory for the analysis of cooperation in distributed service discovery. Information Sciences. 326. 59–70. 12 indexed citations

Albors, Ana, et al.. (2014). Propuesta de parámetros y caracterización de los grupos de las redes sociales orientados a la docencia universitaria : experiencia y resultados. SHILAP Revista de lepidopterología. 4 indexed citations

Rebollo, Miguel, et al.. (2014). Follow the leader in a consensus network as a solution to manage an smart grid: the Balearic Islands case. Adaptive Agents and Multi-Agents Systems. 1655–1656.

10.

Val, Elena del, Miguel Rebollo, & Vicente Botti. (2012). Emergence of cooperation through structural changes and incentives in service-oriented MAS. Adaptive Agents and Multi-Agents Systems. 1355–1356. 1 indexed citations

11.

Val, Elena del, Matteo Vasirani, Miguel Rebollo, & Alberto Fernández. (2012). Enhancing decentralized service discovery through structural self-organization. Adaptive Agents and Multi-Agents Systems. 1429–1430.

12.

Val, Elena del, Miguel Rebollo, & Vicente Botti. (2011). Introducing homophily to improve semantic service search in a self-adaptive system. Adaptive Agents and Multi-Agents Systems. 1241–1242. 4 indexed citations

13.

Val, Elena del, Miguel Rebollo, & Vicente Botti. (2011). Decentralized Service Management Based on Homophily for Self-Adaptive SOMAS. 755–756. 1 indexed citations

14.

Val, Elena del, Natalia Criado, Carlos Carrascosa, et al.. (2010). THOMAS: a service-oriented framework for virtual organizations. Adaptive Agents and Multi-Agents Systems. 1631–1632. 6 indexed citations

15.

Carrascosa, Carlos, Adriana Giret, Vicente Julián, et al.. (2009). Service oriented MAS: an open architecture. Adaptive Agents and Multi-Agents Systems. 1291–1292. 19 indexed citations

16.

Val, Elena del, Natalia Criado, Miguel Rebollo, Estefanía Argente, & Vicente Julián. (2009). Service-Oriented Framework for Virtual Organizations.. International Conference on Artificial Intelligence. 108–114. 4 indexed citations

17.

Carrascosa, Carlos & Miguel Rebollo. (2009). Agreement spaces for counselor agents. Adaptive Agents and Multi-Agents Systems. 1205–1206. 1 indexed citations

18.

Agüero, Jorge M., Miguel Rebollo, Carlos Carrascosa, & Vicente Julián. (2009). MDD-based agent-oriented software engineering for ubiquitous deployment. 3 indexed citations

19.

Agüero, Jorge M., Miguel Rebollo, Carlos Carrascosa, & Vicente Julián. (2008). Towards on embedded agent model for Android mobiles. 37. 4 indexed citations

20.

Rebollo, Miguel, Vicente Julián, Carlos Carrascosa, & Vicente Botti. (2000). A Multi-Agent System for the Automation of a Port Container Terminal. 24 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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