Gabriella Dodero

862 citations
60 papers · 500 indexed · h-index 11
Topics
Parallel Computing and Optimization Techniques (14 papers)Distributed systems and fault tolerance (11 papers)Distributed and Parallel Computing Systems (10 papers)
Journals
SHILAP Revista de lepidopterologíaComputers in Human BehaviorComputer
Partner nations
ItalyUnited StatesSpain

In The Last Decade

Gabriella Dodero

55 papers receiving 458 citations

Peers

Gabriella Dodero
Comparison fields: 5 of 90
  • Information Systems 111
  • Electrical and Electronic Engineering 101
  • Developmental and Educational Psychology 80
  • Computer Networks and Communications 79
  • Materials Chemistry 67
Replace George Ferguson with:
George Ferguson United States
Simone S. Borges Brazil
Chris Hancock United Kingdom
Hyeonjin Kim South Korea
Jun‐Ming Su Taiwan
Jun Fujima Japan
Tammy VanDeGrift United States
Ralf Romeike Germany
Robbie Berg United States
Leandro Silva Galvão de Carvalho Brazil
Gabriella Dodero relative to George Ferguson United States George Ferguson's profile →
Citations per field
00.5×3.8×
George Ferguson · 1×
Citations per year

Countries citing papers authored by Gabriella Dodero

Since Specialization
Citations

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

Fields of papers citing papers by Gabriella Dodero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriella Dodero

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriella Dodero. A scholar is included among the top collaborators of Gabriella Dodero 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 Gabriella Dodero. Gabriella Dodero 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
#WorkIndexed citations
1 17
2 24
3 2
4 2
5 8
6 3
7 2
8 10
9 1
10 3
11
Wireless networking with a PDA: the Ward-In-Hand project
7
12 142
13 27
14 6
15 2
16 2
17 2
18 0
19 3
20 2

About Gabriella Dodero

Gabriella Dodero is a scholar working on Computer Science Applications, Hardware and Architecture and Software, having authored 60 papers that have together received 500 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (14 papers), Distributed systems and fault tolerance (11 papers) and Distributed and Parallel Computing Systems (10 papers). The work is most often cited by research in Software (43 citations), Computer Science Applications (55 citations) and Human-Computer Interaction (49 citations). Gabriella Dodero has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include V. Gianuzzi, Rosella Gennari, Alessandra Melonio, Massimo Ancona, Ornella Cavalleri, Lorenzo De Michieli, R. Rolandi, R. Parodi, Francesco Di Cerbo and Andrea Clematis. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and Computer.

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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