Siddharth Biswal

25 papers receiving 757 citations

Peers

Siddharth Biswal
Comparison fields: 5 of 86
  • Health Informatics 24
  • Cognitive Neuroscience 239
  • Neurology 170
  • Critical Care and Intensive Care Medicine 52
  • Health Information Management 42
Replace Sunil B. Nagaraj with:
Sunil B. Nagaraj Netherlands
Theodoros P. Zanos United States
Saman Parvaneh United States
Charles Huang United States
Wendong Ge United States
Danny Eytan Israel
Christopher G. Scully United States
Farhad Kaffashi United States
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Citations per field
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Sunil B. Nagaraj · 1×
Citations per year

Countries citing papers authored by Siddharth Biswal

Since Specialization
Citations

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

Fields of papers citing papers by Siddharth Biswal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018188
2 2018102
3 201883
4 201746
5 201834
6 201727
7 201926
8 201725
9
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks
201724
10
Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks.
201724
11 201624
12 201823
13 202021
14 202021
15 202119
16 202219
17 202317
18 201616
19 201815
20 20208

About Siddharth Biswal

Siddharth Biswal is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Neurology, Cardiology and Cardiovascular Medicine and Critical Care and Intensive Care Medicine, having authored 26 papers that have together received 778 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (8 papers), Traumatic Brain Injury and Neurovascular Disturbances (5 papers), Intensive Care Unit Cognitive Disorders (4 papers), Intracranial Aneurysms: Treatment and Complications (4 papers), Machine Learning in Healthcare (4 papers), Heart Rate Variability and Autonomic Control (3 papers), AI in cancer detection (2 papers) and Cerebrospinal fluid and hydrocephalus (2 papers). The work is most often cited by research in Health Informatics (24 citations), Cognitive Neuroscience (239 citations), Neurology (170 citations), Critical Care and Intensive Care Medicine (52 citations) and Health Information Management (42 citations). Siddharth Biswal has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Jimeng Sun, M. Brandon Westover, Haoqi Sun, Matt T. Bianchi, Balaji Goparaju, Eric S. Rosenthal, Shriprasad R. Deshpande, Yanbo Xu, Kevin Maher and Sophia Bechek. Their work appears in journals such as Critical Care Medicine, Clinical Neurophysiology, IEEE Transactions on Biomedical Engineering, Frontiers in Neuroscience and Circulation.

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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