Priscila Cedillo

443 citations
65 papers · 221 · h-index 8

Impact in

Papers in

Priscila Cedillo

56 papers receiving 212 citations

Peers

Priscila Cedillo
Comparison fields: 5 of 66
  • Computer Science Applications 29
  • Human-Computer Interaction 21
  • Information Systems 78
  • Computer Networks and Communications 78
  • Software 11
Replace Tania Di Mascio with:
Tania Di Mascio Italy
Madiha Tabassum United States
Ian McChesney United Kingdom
Rubia Fatima China
Carlos Rodríguez-Domínguez Spain
Asterios Leonidis Greece
Marc Jansen Germany
Bimlesh Wadhwa Singapore
Tuul Triyason Thailand
David Fernandes Brazil
Priscila Cedillo relative to Tania Di Mascio Italy Tania Di Mascio's profile →
Citations per field
00.5×1.5×2.4×
Tania Di Mascio · 1×
Citations per year

Countries citing papers authored by Priscila Cedillo

Since Specialization
Citations

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

Fields of papers citing papers by Priscila Cedillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Priscila Cedillo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Priscila Cedillo Line = papers co-authored together Priscila Cedillo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201831
2 201719
3 201513
4 202211
5 202010
6 20209
7 20188
8 20217
9 20147
10 20176
11 20126
12 20196
13 20115
14 20224
15 20174
16 20174
17 20214
18
Smart Irrigation System for Smart Farming.
20173
19 20203
20 20203

About Priscila Cedillo

Priscila Cedillo is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Demography and Computer Science Applications, having authored 65 papers that have together received 221 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (19 papers), Context-Aware Activity Recognition Systems (12 papers), Technology Use by Older Adults (10 papers), Software System Performance and Reliability (9 papers), E-Learning and Knowledge Management (6 papers), Cloud Computing and Resource Management (5 papers), Service-Oriented Architecture and Web Services (5 papers) and Online Learning and Analytics (5 papers). The work is most often cited by research in Computer Science Applications (29 citations), Human-Computer Interaction (21 citations), Information Systems (78 citations), Computer Networks and Communications (78 citations) and Software (11 citations). Priscila Cedillo has collaborated with scholars based in Ecuador, Spain and Hungary. Frequent co-authors include Emilio Insfrán, Silvia Abrahão, Gustavo Rossi, Jean Vanderdonckt, Javier González‐Huerta, Daniel Gómez, Andrés Carrión García, Carlos Ramos-Galarza, J. L. Ortiz and Maristella Matera. Their work appears in journals such as IEEE Access, Big Data and Cognitive Computing, The Journal of Object Technology, SHILAP Revista de lepidopterología and Communications in computer and information science.

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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