Jacinto Estima

1.0k total citations · 1 hit paper
20 papers, 519 citations indexed

About

Jacinto Estima is a scholar working on Geography, Planning and Development, Signal Processing and Global and Planetary Change. According to data from OpenAlex, Jacinto Estima has authored 20 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Geography, Planning and Development, 7 papers in Signal Processing and 5 papers in Global and Planetary Change. Recurrent topics in Jacinto Estima's work include Geographic Information Systems Studies (9 papers), Data Management and Algorithms (7 papers) and Flood Risk Assessment and Management (4 papers). Jacinto Estima is often cited by papers focused on Geographic Information Systems Studies (9 papers), Data Management and Algorithms (7 papers) and Flood Risk Assessment and Management (4 papers). Jacinto Estima collaborates with scholars based in Portugal, United Kingdom and Austria. Jacinto Estima's co-authors include Marco Paìnho, Steffen Fritz, Linda See, Giles M. Foody, Grega Milčinski, Matej Nikšič, Peter Mooney, Bin Jiang, Alexis Comber and Norman Kerle and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the Association for Information Systems and International Journal of Applied Earth Observation and Geoinformation.

In The Last Decade

Jacinto Estima

19 papers receiving 509 citations

Hit Papers

Crowdsourcing, Citizen Science or Volunteered Geographic ... 2016 2026 2019 2022 2016 100 200 300
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.

  1. Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information
    2016 302 citations Linda See, Peter Mooney et al. ISPRS International Journal of Geo-Information profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacinto Estima Portugal 9 217 162 122 84 69 20 519
Ana‐Maria Olteanu‐Raimond France 12 304 1.4× 171 1.1× 276 2.3× 158 1.9× 58 0.8× 33 724
Andrea Pődör Hungary 7 145 0.7× 89 0.5× 92 0.8× 48 0.6× 43 0.6× 16 395
Matej Nikšič Slovenia 5 134 0.6× 82 0.5× 94 0.8× 47 0.6× 36 0.5× 18 361
Marco Minghini Italy 18 463 2.1× 222 1.4× 210 1.7× 211 2.5× 77 1.1× 69 976
Jochen Schiewe Germany 13 169 0.8× 112 0.7× 29 0.2× 58 0.7× 79 1.1× 59 646
Benjamin Herfort Germany 12 259 1.2× 241 1.5× 207 1.7× 67 0.8× 30 0.4× 32 858
Peter Woodgate Australia 8 210 1.0× 202 1.2× 54 0.4× 110 1.3× 121 1.8× 17 711
Vyron Antoniou Greece 12 489 2.3× 186 1.1× 277 2.3× 288 3.4× 87 1.3× 21 933
Ola Ahlqvist United States 13 197 0.9× 174 1.1× 42 0.3× 137 1.6× 114 1.7× 29 551
Tobias Sturn Austria 12 133 0.6× 196 1.2× 52 0.4× 41 0.5× 223 3.2× 33 558

Countries citing papers authored by Jacinto Estima

Since Specialization
Citations

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

Fields of papers citing papers by Jacinto Estima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacinto Estima

This figure shows the co-authorship network connecting the top 25 collaborators of Jacinto Estima. A scholar is included among the top collaborators of Jacinto Estima 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 Jacinto Estima. Jacinto Estima 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.
Ferreira, Rui M. L., et al.. (2024). Flood simulation with the RiverCure approach: the open dataset of the 2016 Águeda flood event. Earth system science data. 16(1). 375–385. 1 indexed citations
2.
Estima, Jacinto, et al.. (2024). Remotely geolocating static events observed by citizens using data collected by mobile devices. International Journal of Applied Earth Observation and Geoinformation. 135. 104287–104287. 1 indexed citations
3.
Estima, Jacinto, et al.. (2023). Evaluation of Maestro, an extensible general-purpose data gathering and data classification platform. Information Processing & Management. 60(5). 103458–103458. 2 indexed citations
4.
Estima, Jacinto, et al.. (2023). Cyclist Route Assessment Using Machine Learning. Journal of the Association for Information Systems. 1 indexed citations
5.
Estima, Jacinto, et al.. (2023). Vessel Voyage Trajectory Extrapolation: Comparing the Performance of Kalman Filters. Estudo Geral (Universidad de Coimbra). 96–100. 1 indexed citations
6.
Silva, Alberto Rodrigues da, et al.. (2023). A Web GIS Platform to Modeling, Simulate and Analyze Flood Events: The RiverCure Portal. ISPRS International Journal of Geo-Information. 12(7). 268–268. 6 indexed citations
7.
8.
Estima, Jacinto, et al.. (2022). Maestro: An Extensible General-Purpose Data Gathering and Classification Platform. Journal of the Association for Information Systems.
9.
Martins, Bruno, et al.. (2021). A Novel Deep Learning Approach Using Contextual Embeddings for Toponym Resolution. ISPRS International Journal of Geo-Information. 11(1). 28–28. 13 indexed citations
10.
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
11.
Estima, Jacinto, et al.. (2020). Semantic segmentation and colorization of grayscale aerial imagery with W‐Net models. Expert Systems. 37(6). 10 indexed citations
12.
Estima, Jacinto, et al.. (2019). Open Data Initiatives in Brazil. 1–4. 2 indexed citations
13.
Fonte, Cidália C., et al.. (2019). Automatic conversion of OSM data into LULC maps: comparing FOSS4G based approaches towards an enhanced performance. SHILAP Revista de lepidopterología. 4(1). 11 indexed citations
14.
Estima, Jacinto, et al.. (2019). Assessing flood severity from georeferenced photos. 1–10. 10 indexed citations
15.
Fonte, Cidália C., et al.. (2017). A platform to integrate crowdsourced, physical sensor and official geographic information to assist authorities in emergency response. Estudo Geral (Universidade de Coimbra). 1 indexed citations
16.
See, Linda, Peter Mooney, Giles M. Foody, et al.. (2016). Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information. ISPRS International Journal of Geo-Information. 5(5). 55–55. 302 indexed citations breakdown →
17.
Antoniou, Vyron, Cidália C. Fonte, Linda See, et al.. (2016). Investigating the Feasibility of Geo-Tagged Photographs as Sources of Land Cover Input Data. ISPRS International Journal of Geo-Information. 5(5). 64–64. 58 indexed citations
18.
Estima, Jacinto & Marco Paìnho. (2016). User Generated Spatial Content-Integrator: Conceptual Model to Integrate Data from Diverse Sources of User Generated Spatial Content. ISPRS International Journal of Geo-Information. 5(10). 183–183. 8 indexed citations
19.
Estima, Jacinto & Marco Paìnho. (2014). Photo Based Volunteered Geographic Information Initiatives. International Journal of Agricultural and Environmental Information Systems. 5(3). 73–89. 10 indexed citations
20.
Estima, Jacinto & Marco Paìnho. (2013). Exploratory analysis of OpenStreetMap for land use classification. 39–46. 49 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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