Heba Lakany
- Cognitive Neuroscience top 10%
- Biomedical Engineering
- Cellular and Molecular Neuroscience
- Artificial Intelligence
- Human-Computer Interaction top 5%
- Co-authors
- B. ConwayJohn J. SoraghanLykourgos PetropoulakisGaetano Di CaterinaBrian MurphyFrancesca BovoloLorenzo BruzzoneMassimo Poesio
- Topics
- EEG and Brain-Computer Interfaces (28 papers)Neuroscience and Neural Engineering (14 papers)Gaze Tracking and Assistive Technology (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeuroImageScientific Reports
- Partner nations
- United KingdomMalaysiaUnited States
In The Last Decade
Heba Lakany
39 papers receiving 409 citations
Peers
Comparison fields: 5 of 67
- Cognitive Neuroscience 226
- Biomedical Engineering 179
- Cellular and Molecular Neuroscience 108
- Artificial Intelligence 77
- Human-Computer Interaction 68
Countries citing papers authored by Heba Lakany
This map shows the geographic impact of Heba Lakany'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 Heba Lakany with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heba Lakany more than expected).
Fields of papers citing papers by Heba Lakany
This network shows the impact of papers produced by Heba Lakany. 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 Heba Lakany. The network helps show where Heba Lakany may publish in the future.
Co-authorship network of co-authors of Heba Lakany
This figure shows the co-authorship network connecting the top 25 collaborators of Heba Lakany. A scholar is included among the top collaborators of Heba Lakany 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 Heba Lakany. Heba Lakany is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 20 | |
| 7 | 10 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 1-D Local Binary Patterns for onset detection of myoelectric signals | 14 |
| 11 | 48 | |
| 12 | 13 | |
| 13 | 10 | |
| 14 | 0 | |
| 15 | 19 | |
| 16 | EEG classification based on movement direction and displacement | 1 |
| 17 | 6 | |
| 18 | Extracting diagnostic gait signatures for cerebral palsy patients | 1 |
| 19 | 14 | |
| 20 | Object recognition from 2D images using Kohonen self-organized feature maps | 4 |
About Heba Lakany
Heba Lakany is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 44 papers that have together received 433 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (28 papers), Neuroscience and Neural Engineering (14 papers) and Gaze Tracking and Assistive Technology (11 papers). The work is most often cited by research in Human-Computer Interaction (68 citations), Cognitive Neuroscience (226 citations) and Cellular and Molecular Neuroscience (108 citations). Heba Lakany has collaborated with scholars based in United Kingdom, Malaysia and United States. Frequent co-authors include B. Conway, John J. Soraghan, Lykourgos Petropoulakis, Gaetano Di Caterina, Brian Murphy, Francesca Bovolo, Lorenzo Bruzzone, Massimo Poesio, Michele Dalponte and Bahman Nasseroleslami. Their work appears in journals such as SHILAP Revista de lepidopterología, 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.