Inês Bramão

755 citations
28 papers · 485 · h-index 13

Impact in

Papers in

Inês Bramão

26 papers receiving 469 citations

Peers

Inês Bramão
Comparison fields: 5 of 71
  • Cognitive Neuroscience 303
  • Developmental and Educational Psychology 185
  • Experimental and Cognitive Psychology 132
  • Statistics and Probability 74
  • Sensory Systems 23
Replace David Aagten‐Murphy with:
David Aagten‐Murphy United Kingdom
Shannon Ross‐Sheehy United States
Anna Ma-Wyatt Australia
Michele Vicovaro Italy
Elke B. Lange Germany
Benjamin Dering United Kingdom
Roberto Bottini Italy
Cara H. Cashon United States
Qiufang Fu China
Giordana Grossi United States
Inês Bramão relative to David Aagten‐Murphy United Kingdom David Aagten‐Murphy's profile →
Citations per field
00.5×1.7×
David Aagten‐Murphy · 1×
Citations per year

Countries citing papers authored by Inês Bramão

Since Specialization
Citations

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

Fields of papers citing papers by Inês Bramão

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Inês Bramão, 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 Inês Bramão Line = papers co-authored together Inês Bramão links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011119
2 201259
3 201446
4 201038
5 200731
6 201021
7 201019
8 201117
9 201816
10 201313
11 202013
12 201713
13 201813
14 201610
15 20219
16 20218
17 20118
18 20128
19 20227
20
Artificial language learning
20114

About Inês Bramão

Inês Bramão is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Experimental and Cognitive Psychology, Social Psychology and Artificial Intelligence, having authored 28 papers that have together received 485 indexed citations. Recurring topics across this work include Memory Processes and Influences (9 papers), Neural and Behavioral Psychology Studies (9 papers), Memory and Neural Mechanisms (9 papers), Face Recognition and Perception (6 papers), Color perception and design (5 papers), Multisensory perception and integration (5 papers), Reading and Literacy Development (5 papers) and Cognitive and developmental aspects of mathematical skills (4 papers). The work is most often cited by research in Cognitive Neuroscience (303 citations), Developmental and Educational Psychology (185 citations), Experimental and Cognitive Psychology (132 citations), Statistics and Probability (74 citations) and Sensory Systems (23 citations). Inês Bramão has collaborated with scholars based in Sweden, Portugal and Netherlands. Frequent co-authors include Karl Magnus Petersson, Luís Faísca, Alexandra Reis, Susana Araújo, Mikael Johansson, Christian Forkstam, Martin Ingvar, Anna Karlsson, Jiefeng Jiang and Anthony D. Wagner. Their work appears in journals such as Neuropsychologia, Brain and Cognition, The Journal of General Psychology, NeuroImage and Scientific Reports.

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.

Explore authors with similar magnitude of impact