Celeste Campo

875 citations
48 papers · 488 · h-index 12

Impact in

Papers in

Celeste Campo

41 papers receiving 460 citations

Peers

Celeste Campo
Comparison fields: 5 of 54
  • Computer Networks and Communications 315
  • Transportation 56
  • Information Systems 110
  • Computer Vision and Pattern Recognition 85
  • Artificial Intelligence 118
Replace Carlos Ferraz with:
Carlos Ferraz Brazil
Alessandra Toninelli Italy
Stephen Smaldone United States
Dina Hussein France
Kyoungsoo Bok South Korea
Nancy Samaan Canada
Osman Khalid Pakistan
Philippe Roose France
Mengyuan Wang China
Levent Gürgen France
Celeste Campo relative to Carlos Ferraz Brazil Carlos Ferraz's profile →
Citations per field
00.5×4.1×
Carlos Ferraz · 1×
Citations per year

Countries citing papers authored by Celeste Campo

Since Specialization
Citations

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

Fields of papers citing papers by Celeste Campo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Celeste Campo, 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 Celeste Campo Line = papers co-authored together Celeste Campo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
PTM: A Pervasive Trust Management Model for Dynamic Open Environments ⁄
200382
2 202156
3 201932
4 200532
5 200628
6 201027
7 201221
8 201019
9
SPDP: A Secure Service Discovery Protocol for Ad-hoc Networks
200313
10 202012
11 202311
12 201311
13 201510
14 200510
15
Service Discovery in Pervasive Multi-Agent Systems
20029
16 20089
17 20068
18 20188
19 20157
20 20077

About Celeste Campo

Celeste Campo is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Transportation and Sociology and Political Science, having authored 48 papers that have together received 488 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (9 papers), Mobile Ad Hoc Networks (9 papers), Opportunistic and Delay-Tolerant Networks (8 papers), Access Control and Trust (7 papers), Internet Traffic Analysis and Secure E-voting (7 papers), Vehicular Ad Hoc Networks (VANETs) (6 papers), IPv6, Mobility, Handover, Networks, Security (6 papers) and Network Security and Intrusion Detection (6 papers). The work is most often cited by research in Computer Networks and Communications (315 citations), Transportation (56 citations), Information Systems (110 citations), Computer Vision and Pattern Recognition (85 citations) and Artificial Intelligence (118 citations). Celeste Campo has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Carlos García-Rubio, Florina Almenárez, Andrés Marín, Daniel Díaz, Mario Muñoz-Organero, Rebeca P. Dı́az Redondo, Sajal K. Das, Ana Fernández Vilas, Daniel Díaz-Sánchez and Mónica Aguilar Igartua. Their work appears in journals such as Computer Networks, Sensors, IEEE Communications Letters, IEEE Access and Ad Hoc Networks.

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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