Rahul Chander

1.3k citations
8 papers · 988 indexed · h-index 5

Impact in

Papers in

Rahul Chander

8 papers receiving 969 citations

Peers

Rahul Chander
Comparison fields: 5 of 53
  • Cognitive Neuroscience 821
  • Psychiatry and Mental health 577
  • Cellular and Molecular Neuroscience 576
  • Signal Processing 57
  • Neurology 55
Replace Jan Cimbálník with:
Jan Cimbálník Czechia
David Himes Australia
Paul Lightfoot Australia
Martin Pail Czechia
Nicole van Klink Netherlands
Maryse A. van ’t Klooster Netherlands
Petr Klimeš Czechia
Kent Leyde United States
Francesca Pizzo France
Marcel Heers Germany
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Citations per field
00.5×2.8×
Jan Cimbálník · 1×
Citations per year

Countries citing papers authored by Rahul Chander

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Chander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Rahul Chander, 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 Rahul Chander Line = papers co-authored together Rahul Chander links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Enabling an Enterprise Data Management Ecosystem using Change Data Capture with Amazon Neptune.
20191
2 201072
3 2009111
4 2008478
5
Algorithms to detect High Frequency Oscillations in human intracerebral electroencephalogram
20081
6 2007318
7 20062
8 20055

About Rahul Chander

Rahul Chander is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Hardware and Architecture, Management Information Systems and Signal Processing, having authored 8 papers that have together received 988 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (5 papers), Neural dynamics and brain function (3 papers), Epilepsy research and treatment (3 papers), Functional Brain Connectivity Studies (2 papers), Big Data and Business Intelligence (1 paper), VLSI and FPGA Design Techniques (1 paper), Speech and Audio Processing (1 paper) and Service-Oriented Architecture and Web Services (1 paper). The work is most often cited by research in Cognitive Neuroscience (821 citations), Psychiatry and Mental health (577 citations), Cellular and Molecular Neuroscience (576 citations), Signal Processing (57 citations) and Neurology (55 citations). Rahul Chander has collaborated with scholars based in Canada and United States. Frequent co-authors include Jean Gotman, Julia Jacobs, Jeffery A. Hall, Elena Urrestarazu, François Dubeau, Pierre LeVan, Rina Zelmann, Jeffrey Jirsch, Maeike Zijlmans and Francesco Mari. Their work appears in journals such as Epilepsia, The Journal of the Acoustical Society of America, Brain, eScholarship@McGill (McGill) and PubMed.

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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