Ana Alves

785 total citations · 1 hit paper
41 papers, 533 citations indexed

About

Ana Alves is a scholar working on Artificial Intelligence, Transportation and Geography, Planning and Development. According to data from OpenAlex, Ana Alves has authored 41 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 9 papers in Transportation and 9 papers in Geography, Planning and Development. Recurrent topics in Ana Alves's work include Topic Modeling (14 papers), Natural Language Processing Techniques (13 papers) and Geographic Information Systems Studies (9 papers). Ana Alves is often cited by papers focused on Topic Modeling (14 papers), Natural Language Processing Techniques (13 papers) and Geographic Information Systems Studies (9 papers). Ana Alves collaborates with scholars based in Portugal, United States and Mexico. Ana Alves's co-authors include Francisco C. Pereira, Filipe Rodrigues, Shan Jiang, Joseph Ferreira, Carlos Bento, Hugo Gonçalo Oliveira, Ana Almeida, Marco Veloso, Bruno Antunes and Shan Jiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers Environment and Urban Systems and Language Resources and Evaluation.

In The Last Decade

Ana Alves

37 papers receiving 514 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Mining point-of-interest data from social networks for urban land use classification and disaggregation

2015 277 citations Shan Jiang, Ana Alves et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ana Alves Portugal	10	305	199	97	75	57	41	533
Junjun Yin United States	12	457 1.5×	166 0.8×	55 0.6×	60 0.8×	113 2.0×	34	765
Mohamed Bakillah Germany	10	314 1.0×	234 1.2×	42 0.4×	205 2.7×	57 1.0×	16	644
Víctor Soto United States	10	266 0.9×	91 0.5×	147 1.5×	44 0.6×	29 0.5×	23	474
Zhanjun He China	12	153 0.5×	125 0.6×	30 0.3×	47 0.6×	60 1.1×	28	477
Ana‐Maria Olteanu‐Raimond France	12	276 0.9×	171 0.9×	65 0.7×	304 4.1×	52 0.9×	33	724
Yihong Yuan United States	13	625 2.0×	197 1.0×	30 0.3×	88 1.2×	68 1.2×	33	811
Jennings Anderson United States	12	110 0.4×	125 0.6×	46 0.5×	136 1.8×	38 0.7×	19	534
Jacinto Estima Portugal	9	122 0.4×	162 0.8×	58 0.6×	217 2.9×	23 0.4×	20	519
Sathya Prasad United States	6	179 0.6×	57 0.3×	54 0.6×	117 1.6×	31 0.5×	8	343
Lívia Castro Degrossi Brazil	10	99 0.3×	137 0.7×	50 0.5×	167 2.2×	25 0.4×	19	459

Countries citing papers authored by Ana Alves

Since Specialization

Citations

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

Fields of papers citing papers by Ana Alves

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ana Alves

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

Palma, A., Mário Antunes, Jorge Bernardino, & Ana Alves. (2025). Multi-Class Intrusion Detection in Internet of Vehicles: Optimizing Machine Learning Models on Imbalanced Data. Future Internet. 17(4). 162–162. 2 indexed citations

Veloso, Marco, et al.. (2023). Sensing Mobility and Routine Locations through Mobile Phone and Crowdsourced Data: Analyzing Travel and Behavior during COVID-19. ISPRS International Journal of Geo-Information. 12(8). 308–308. 3 indexed citations

Alves, Ana, et al.. (2022). Identification and Classification of Routine Locations Using Anonymized Mobile Communication Data. ISPRS International Journal of Geo-Information. 11(4). 228–228. 6 indexed citations

Durães, João, et al.. (2021). Empirical Assessment of the Long-Term Impact of an Embedded Systems Programming Requalification Programme. Information. 13(1). 16–16. 1 indexed citations

Coutinho, Fernanda M. B., et al.. (2020). Challenges and Solutions from an Embedded Programming Bootcamp. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 4 indexed citations

Oliveira, Hugo Gonçalo, et al.. (2020). Exploring Different Methods for Solving Analogies with Portuguese Word Embeddings. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 3 indexed citations

Oliveira, Hugo Gonçalo, et al.. (2020). TALES: Test Set of Portuguese Lexical-Semantic Relations for Assessing Word Embeddings. European Conference on Artificial Intelligence. 41–47. 2 indexed citations

Alves, Ana, et al.. (2020). Developing Amaia: A Conversational Agent for Helping Portuguese Entrepreneurs—An Extensive Exploration of Question-Matching Approaches for Portuguese. Information. 11(9). 428–428. 1 indexed citations

Oliveira, Hugo Gonçalo, et al.. (2020). AIA-BDE: A Corpus of FAQs in Portuguese and their Variations. Language Resources and Evaluation. 5442–5449. 2 indexed citations

10.

Oliveira, Hugo Gonçalo, et al.. (2020). Corpora and Baselines for Humour Recognition in Portuguese. Language Resources and Evaluation. 1278–1285. 3 indexed citations

11.

Alves, Ana, et al.. (2020). POI Mining for Land Use Classification: A Case Study. ISPRS International Journal of Geo-Information. 9(9). 493–493. 73 indexed citations

12.

Loureiro, Vânia, et al.. (2019). Calidad y satisfacción en gimnasios y health clubs. 115–121.

13.

Oliveira, Hugo Gonçalo, et al.. (2019). Using Lucene for Developing a Question-Answering Agent in Portuguese.. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 1 indexed citations

14.

Alves, Ana, et al.. (2018). ASAPP 2.0: Advancing the state-of-the-art of semantic textual similarity for Portuguese. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 2 indexed citations

15.

Oliveira, Hugo Gonçalo, et al.. (2017). Predicting the Relevance of Social Media Posts Based on Linguistic Features and Journalistic Criteria. New Generation Computing. 35(4). 451–472. 4 indexed citations

16.

Oliveira, Hugo Gonçalo & Ana Alves. (2016). Poetry from Concept Maps-Yet Another Adaptation of PoeTryMe's Flexible Architecture.. ICCC. 246–253. 3 indexed citations

17.

Oliveira, Hugo Gonçalo, et al.. (2016). Can Topic Modelling benefit from Word Sense Information. Language Resources and Evaluation. 3387–3393. 2 indexed citations

18.

Alves, Ana, et al.. (2016). ASAPP: Alinhamento Semântico Automático de Palavras aplicado ao Português. 8(2). 43–58. 3 indexed citations

19.

Jiang, Shan, Ana Alves, Filipe Rodrigues, Joseph Ferreira, & Francisco C. Pereira. (2015). Mining point-of-interest data from social networks for urban land use classification and disaggregation. DSpace@MIT (Massachusetts Institute of Technology). 9 indexed citations

20.

Rodrigues, Filipe, et al.. (2013). Estimating Disaggregated Employment Size from Points-of-Interest and Census Data: From Mining the Web to Model Implementation and Visualization. 6. 41–52. 13 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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