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.
Precision Agriculture for Crop and Livestock Farming—Brief Review
2021174 citationsAntónio Monteiro, Pedro Gonçalves et al.Animalsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Pedro Gonçalves
Since
Specialization
Citations
This map shows the geographic impact of Pedro Gonçalves'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 Pedro Gonçalves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro Gonçalves more than expected).
This network shows the impact of papers produced by Pedro Gonçalves. 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 Pedro Gonçalves. The network helps show where Pedro Gonçalves may publish in the future.
Co-authorship network of co-authors of Pedro Gonçalves
This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Gonçalves.
A scholar is included among the top collaborators of Pedro Gonçalves 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 Pedro Gonçalves. Pedro Gonçalves is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Silva, Miguel Mira da, et al.. (2018). Using Gamification for Adopting Scrum.. Journal of the Association for Information Systems.1 indexed citations
9.
Silva, Miguel Mira da, et al.. (2018). Improving Scrum Adoption with Gamification. Journal of the Association for Information Systems.1 indexed citations
10.
Pedreiras, Paulo, et al.. (2017). SheepIT - An Electronic Shepherd for the Vineyards.. 621–632.6 indexed citations
11.
Silva, Miguel Mira da, et al.. (2017). A SURVEY OF FAILURES IN THE SOFTWARE DEVELOPMENT PROCESS. Journal of the Association for Information Systems. 2445.6 indexed citations
12.
Almeida, N., et al.. (2016). SenSyF Experience on Integration of EO Services in a Generic, Cloud-Based EO Exploitation Platform. 740. 26.1 indexed citations
13.
Blower, Jon, et al.. (2015). Exploiting Open Environmental Data using Linked Data and Cloud Computing: the MELODIES project. EGUGA. 15624.1 indexed citations
Martins, Alfredo, André Dias, Hugo Silva, et al.. (2013). Groundtruth system for underwater benchmarking. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 1–5.1 indexed citations
Martino, Beniamino Di, et al.. (2011). Building a Mosaic of Clouds. Lecture notes in computer science. 571–578.47 indexed citations
18.
Sargento, Susana, et al.. (2005). End-to-end QoS architecture for 4G scenarios. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT).5 indexed citations
19.
Serrano, Pablo, Carlos J. Bernardos, José Ignacio Moreno, et al.. (2004). Field evaluation of a 4G “True-IP” network. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT).4 indexed citations
20.
Fusco, L., et al.. (2003). Putting earth-observation applications on the Grid. 114(114). 86–90.5 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.