Tamara Bonaci

604 citations
20 papers · 285 · h-index 10

Impact in

Papers in

Tamara Bonaci

20 papers receiving 272 citations

Peers

Tamara Bonaci
Comparison fields: 5 of 60
  • Computer Networks and Communications 107
  • Cognitive Neuroscience 79
  • Human-Computer Interaction 19
  • Health Informatics 4
  • Information Systems 64
Replace Enrique Tomás Martínez Beltrán with:
Enrique Tomás Martínez Beltrán Spain
Giulia Cisotto Italy
Mario Quiles Pérez Spain
Norliza Zaini Malaysia
Juan Carlos Martínez-Santos Colombia
Luc Cluitmans Finland
Omar AlZoubi Jordan
Abhishek Vaish India
Yifei Xu China
N. Sertac Artan United States
Tamara Bonaci relative to Enrique Tomás Martínez Beltrán Spain Enrique Tomás Martínez Beltrán's profile →
Citations per field
00.5×4.2×
Enrique Tomás Martínez Beltrán · 1×
Citations per year

Countries citing papers authored by Tamara Bonaci

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Bonaci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201054
2 201441
3 201540
4 201525
5 202219
6 201111
7 202011
8 201511
9 201411
10 20179
11 20129
12 20159
13
App Stores for the Brain: Privacy & Security in Brain-Computer Interfaces
20146
14 20236
15 20126
16 20234
17 20224
18 20164
19 20223
20 20222

About Tamara Bonaci

Tamara Bonaci is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Information Systems, Signal Processing and Computer Networks and Communications, having authored 20 papers that have together received 285 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (5 papers), Neuroscience and Neural Engineering (4 papers), Cognitive Functions and Memory (3 papers), User Authentication and Security Systems (3 papers), Energy Efficient Wireless Sensor Networks (3 papers), Privacy, Security, and Data Protection (3 papers), Security in Wireless Sensor Networks (3 papers) and Advanced Malware Detection Techniques (3 papers). The work is most often cited by research in Computer Networks and Communications (107 citations), Cognitive Neuroscience (79 citations), Human-Computer Interaction (19 citations), Health Informatics (4 citations) and Information Systems (64 citations). Tamara Bonaci has collaborated with scholars based in United States, Singapore and Spain. Frequent co-authors include H.J. Chizeck, Ryan Calo, Linda Bushnell, Radha Poovendran, Jeffrey A. Herron, Junjie Yan, Tadayoshi Kohno, Phillip Lee, Vicente Matellán Olivera and Giedre Sabaliauskaite. Their work appears in journals such as IEEE Technology and Society Magazine, Robotics and Autonomous Systems, ACM Transactions on Cyber-Physical Systems, Pervasive and Mobile Computing and IEEE Potentials.

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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