Agnese Pinto

412 citations
25 papers · 234 · h-index 9

Impact in

Papers in

Agnese Pinto

22 papers receiving 222 citations

Peers

Agnese Pinto
Comparison fields: 5 of 52
  • Computer Networks and Communications 112
  • Information Systems 77
  • Signal Processing 34
  • Computer Vision and Pattern Recognition 63
  • Artificial Intelligence 93
Replace Cornelia Győrödi with:
Cornelia Győrödi Romania
Robert Győrödi Romania
Mohammad M. R. Chowdhury Norway
Xiaomeng Yi China
Yanira De Paz Spain
Dindar Mikaeel Ahmed Iraq
Phu Dung Le Australia
Rosario Culmone Italy
Nikhat Akhtar India
Devdatta Kulkarni United States
Agnese Pinto relative to Cornelia Győrödi Romania Cornelia Győrödi's profile →
Citations per field
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Cornelia Győrödi · 1×
Citations per year

Countries citing papers authored by Agnese Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Agnese Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Agnese Pinto, 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 Agnese Pinto Line = papers co-authored together Agnese Pinto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200743
2 201831
3 201427
4 202426
5 201316
6 202214
7 201812
8 201810
9 20179
10 20137
11 20177
12 20206
13
A logic-based CoAP extension for resource discovery in semantic sensor networks
20125
14 20175
15 20243
16 20253
17
A Blockchain Infrastructure for the Semantic Web of Things.
20182
18 20242
19 20152
20
Semantic-Based Resource Retrieval using Non-Standard Inference Services in Description Logics.
20052

About Agnese Pinto

Agnese Pinto is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Signal Processing and Control and Systems Engineering, having authored 25 papers that have together received 234 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (10 papers), Semantic Web and Ontologies (10 papers), Service-Oriented Architecture and Web Services (9 papers), Robotics and Automated Systems (5 papers), Advanced Database Systems and Queries (4 papers), Context-Aware Activity Recognition Systems (4 papers), Data Management and Algorithms (4 papers) and Blockchain Technology Applications and Security (3 papers). The work is most often cited by research in Computer Networks and Communications (112 citations), Information Systems (77 citations), Signal Processing (34 citations), Computer Vision and Pattern Recognition (63 citations) and Artificial Intelligence (93 citations). Agnese Pinto has collaborated with scholars based in Italy, United States and Mexico. Frequent co-authors include Michèle Ruta, Giuseppe Loseto, Floriano Scioscia, Saverio Ieva, Eugenio Di Sciascio, Azzurra Ragone, Tommaso Di Noia, Simona Colucci, Michèle Ruta and C. Scioscia. Their work appears in journals such as Future Generation Computer Systems, Semantic Web, Sensors, Engineering Applications of Artificial Intelligence and International Journal on Semantic Web and Information Systems.

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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