Sara Paiva

117 total papers · 2.2k total citations
63 papers, 1.3k citations indexed

About

Sara Paiva is a scholar working on Computer Networks and Communications, Transportation and Building and Construction. According to data from OpenAlex, Sara Paiva has authored 63 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 15 papers in Transportation and 15 papers in Building and Construction. Recurrent topics in Sara Paiva's work include Smart Parking Systems Research (13 papers), Transportation and Mobility Innovations (10 papers) and Context-Aware Activity Recognition Systems (8 papers). Sara Paiva is often cited by papers focused on Smart Parking Systems Research (13 papers), Transportation and Mobility Innovations (10 papers) and Context-Aware Activity Recognition Systems (8 papers). Sara Paiva collaborates with scholars based in Portugal, India and Spain. Sara Paiva's co-authors include Gautami Tripathi, Mohd Abdul Ahad, Rui Lima, Jorge Ribeiro, Gabriella Casalino, Abid Ismail, K. S. Kuppusamy, Sérgio Ivan Lopes, Xabiel G. Pañeda and Víctor Corcoba Magaña and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Sara Paiva

57 papers receiving 1.2k citations

Hit Papers

Enabling technologies and... 2020 2026 2022 2024 2020 2021 2021 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sara Paiva 270 253 247 209 170 63 1.3k
Mohd Abdul Ahad 606 2.2× 465 1.8× 318 1.3× 209 1.0× 62 0.4× 34 1.4k
Xiaoming Li 149 0.6× 206 0.8× 117 0.5× 84 0.4× 172 1.0× 53 1.2k
Pierfrancesco Bellini 384 1.4× 536 2.1× 284 1.1× 216 1.0× 101 0.6× 122 1.8k
Theodoros Anagnostopoulos 125 0.5× 359 1.4× 196 0.8× 176 0.8× 57 0.3× 56 1.3k
Asier Perallos 119 0.4× 268 1.1× 283 1.1× 173 0.8× 144 0.8× 92 1.4k
Catia Prandi 190 0.7× 188 0.7× 105 0.4× 306 1.5× 41 0.2× 125 1.7k
Mariacristina Roscia 119 0.4× 122 0.5× 394 1.6× 268 1.3× 114 0.7× 110 1.4k
Silvia Mirri 229 0.8× 218 0.9× 104 0.4× 235 1.1× 41 0.2× 146 1.7k
Ganjar Alfian 173 0.6× 173 0.7× 90 0.4× 65 0.3× 204 1.2× 49 1.8k
Héctor González 296 1.1× 342 1.4× 151 0.6× 246 1.2× 36 0.2× 26 1.2k

Countries citing papers authored by Sara Paiva

Since Specialization
Citations

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

Fields of papers citing papers by Sara Paiva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Paiva

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

All Works

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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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