Abdul Saboor

583 citations
18 papers · 368 indexed · h-index 8
Topics
EEG and Brain-Computer Interfaces (15 papers)Neuroscience and Neural Engineering (10 papers)Gaze Tracking and Assistive Technology (9 papers)
Partner nations
GermanyMalaysiaIndia

In The Last Decade

Abdul Saboor

16 papers receiving 364 citations

Peers

Abdul Saboor
Comparison fields: 5 of 37
  • Cognitive Neuroscience 348
  • Cellular and Molecular Neuroscience 217
  • Electrical and Electronic Engineering 109
  • Human-Computer Interaction 101
  • Signal Processing 28
Replace Mihaly Benda with:
Mihaly Benda Germany
Arne Robben Belgium
Aya Rezeika Germany
Keun-Tae Kim South Korea
Zhuliang Yu China
Adrien Combaz Belgium
Víctor Martínez-Cagigal Spain
David Achanccaray Japan
Fabrizio Beverina Italy
Michele Tavella Switzerland
Abdul Saboor relative to Mihaly Benda Germany Mihaly Benda's profile →
Citations per field
00.5×1.5×
Mihaly Benda · 1×
Citations per year

Countries citing papers authored by Abdul Saboor

Since Specialization
Citations

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

Fields of papers citing papers by Abdul Saboor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdul Saboor

This figure shows the co-authorship network connecting the top 25 collaborators of Abdul Saboor. A scholar is included among the top collaborators of Abdul Saboor 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 Abdul Saboor. Abdul Saboor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 26
5 5
6 17
7 4
8 253
9 7
10 7
11 8
12 6
13 12
14 2
15 2
16 5
17 7
18 6

About Abdul Saboor

Abdul Saboor is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 368 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (15 papers), Neuroscience and Neural Engineering (10 papers) and Gaze Tracking and Assistive Technology (9 papers). The work is most often cited by research in Human-Computer Interaction (101 citations), Cognitive Neuroscience (348 citations) and Cellular and Molecular Neuroscience (217 citations). Abdul Saboor has collaborated with scholars based in Germany, Malaysia and India. Frequent co-authors include Ivan Volosyak, Felix Gembler, Piotr Stawicki, Mihaly Benda, Aya Rezeika, Thorsten Jungeblut, Marc Hesse, Ulrich Rückert, Kai Essig and Michael Adams. Their work appears in journals such as PLoS ONE, Brain Sciences and IAES International Journal of Artificial Intelligence.

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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