Bruno Martins

3.7k total citations
131 papers, 1.7k citations indexed

About

Bruno Martins is a scholar working on Artificial Intelligence, Signal Processing and Geography, Planning and Development. According to data from OpenAlex, Bruno Martins has authored 131 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Artificial Intelligence, 42 papers in Signal Processing and 40 papers in Geography, Planning and Development. Recurrent topics in Bruno Martins's work include Geographic Information Systems Studies (40 papers), Data Management and Algorithms (38 papers) and Topic Modeling (30 papers). Bruno Martins is often cited by papers focused on Geographic Information Systems Studies (40 papers), Data Management and Algorithms (38 papers) and Topic Modeling (30 papers). Bruno Martins collaborates with scholars based in Portugal, United States and Spain. Bruno Martins's co-authors include Mário J. Silva, Pável Calado, Patricia Murrieta‐Flores, Ana Paula Afonso, Marcírio Silveira Chaves, José Borbinha, Desmond Elliott, Nuno Cardoso, Jacinto Estima and David Martins de Matos and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Bruno Martins

123 papers receiving 1.6k citations

Peers

Bruno Martins

GPD

TRANS

Maria Luisa Damiani Italy

Clodoveu A. Davis Brazil

Takeshi Sakaki Japan

Hideo Joho Japan

Martin Tomko Australia

Salvatore Rinzivillo Italy

Barbara P. Buttenfield United States

Padraig Corcoran United Kingdom

Stuart E. Middleton United Kingdom

Aidan Slingsby United Kingdom

Maria Luisa Damiani Italy

Bruno Martins

805 ×1.0

335 ×0.6

GPD

675 ×1.3

538 ×1.5

TRANS

259 ×0.7

Citations per year, relative to Bruno Martins Bruno Martins (= 1×) peers Maria Luisa Damiani

Countries citing papers authored by Bruno Martins

Since Specialization

Citations

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

Fields of papers citing papers by Bruno Martins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruno Martins

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

Martins, Bruno, et al.. (2024). Modeling population distribution: A visual and quantitative analysis of gradient boosting and deep learning models for multi‐output spatial disaggregation. Transactions in GIS. 28(2). 130–153. 3 indexed citations

Martins, Bruno, et al.. (2023). LMCap: Few-shot Multilingual Image Captioning by Retrieval Augmented Language Model Prompting. 1635–1651. 3 indexed citations

Silva, Mário J., et al.. (2021). Multi-label classification of legislative contents with hierarchical label attention networks. International Journal on Digital Libraries. 23(1). 77–90. 2 indexed citations

Martins, Bruno, et al.. (2021). Geospatial Data Disaggregation through Self-Trained Encoder–Decoder Convolutional Models. ISPRS International Journal of Geo-Information. 10(9). 619–619. 3 indexed citations

Martins, Bruno, et al.. (2021). Deep Learning for Toponym Resolution: Geocoding Based on Pairs of Toponyms. ISPRS International Journal of Geo-Information. 10(12). 818–818. 15 indexed citations

Estima, Jacinto, et al.. (2020). Assessing flood severity from crowdsourced social media photos with deep neural networks. Multimedia Tools and Applications. 79(35-36). 26197–26223. 32 indexed citations

Murrieta‐Flores, Patricia, et al.. (2017). Toponym matching through deep neural networks. International Journal of Geographical Information Systems. 32(2). 324–348. 53 indexed citations

Martins, Bruno, et al.. (2017). Percepción de los deportistas sobre el estilo de liderazgo de los entrenadores y la tendencia a cooperar en equipos competitivos. SHILAP Revista de lepidopterología. 14(1). 79–92. 4 indexed citations

Martins, Bruno, et al.. (2017). A hybrid approach for the spatial disaggregation of socio-economic indicators. International Journal of Data Science and Analytics. 5(2-3). 189–211. 16 indexed citations

10.

Marques, Ricardo, et al.. (2016). INESC-ID@ASSIN: Medição de Similaridade Semântica e Reconhecimento de Inferência Textual. 8(2). 33–42. 2 indexed citations

11.

Moreira, Catarina, Pável Calado, & Bruno Martins. (2015). Learning to rank academic experts in the DBLP dataset. QUT ePrints (Queensland University of Technology). 36 indexed citations

12.

Martins, Bruno, et al.. (2015). Uma Comparação Sistemática de Diferentes Abordagens para a Sumarização Automática Extrativa de Textos em Português. SHILAP Revista de lepidopterología. 2 indexed citations

13.

Silva, Rui, et al.. (2013). Exploring DBpedia and Wikipedia for Portuguese Semantic Relationship Extraction. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 5(1). 2 indexed citations

14.

Martins, Bruno, et al.. (2013). REACTION: A naive machine learning approach for sentiment classification. Joint Conference on Lexical and Computational Semantics. 490–494. 5 indexed citations

15.

Dias, Duarte, et al.. (2012). Geocodificação de Documentos Textuais com Classificadores Hierárquicos Baseados em Modelos de Linguagem. SHILAP Revista de lepidopterología. 1 indexed citations

16.

Martins, Bruno, et al.. (2011). Supervised Learning for Linking Named Entities to Knowledge Base Entries.. Theory and applications of categories. 11 indexed citations

17.

Wang, Ling, Pável Calado, Bruno Martins, et al.. (2011). Named entity translation using anchor texts.. IWSLT. 206–213. 7 indexed citations

18.

Borbinha, José, et al.. (2010). Experiments with Geo-Temporal Expressions Filtering and Query Expansion at Document and Phrase Context Resolution.. NTCIR. 159–166. 2 indexed citations

19.

Martins, Bruno, et al.. (2009). A geo-temporal information extraction service for processing descriptive metadata in digital libraries. UPM Digital Archive (Technical University of Madrid). 7 indexed citations

20.

Martins, Bruno, et al.. (2006). Handling Locations in Search Engine Queries. 27 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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