Shailja Shukla

1.8k citations
30 papers · 607 indexed · h-index 12
Topics
EEG and Brain-Computer Interfaces (17 papers)Blind Source Separation Techniques (12 papers)ECG Monitoring and Analysis (7 papers)
Partner nations
IndiaUnited States

In The Last Decade

Shailja Shukla

27 papers receiving 579 citations

Peers

Shailja Shukla
Comparison fields: 5 of 88
  • Cognitive Neuroscience 215
  • Cardiology and Cardiovascular Medicine 214
  • Biomedical Engineering 125
  • Artificial Intelligence 88
  • Signal Processing 86
Replace Sugondo Hadiyoso with:
Sugondo Hadiyoso Indonesia
Kandala N. V. P. S. Rajesh India
Jinsul Kim South Korea
Fardin Abdali-Mohammadi Iran
Mehmet Engin Türkiye
Jingshan Huang China
Qingxue Zhang United States
Vandana Roy India
Fawad Fawad Pakistan
Yakup Kutlu Türkiye
Shailja Shukla relative to Sugondo Hadiyoso Indonesia Sugondo Hadiyoso's profile →
Citations per field
00.5×5.3×
Sugondo Hadiyoso · 1×
Citations per year

Countries citing papers authored by Shailja Shukla

Since Specialization
Citations

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

Fields of papers citing papers by Shailja Shukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shailja Shukla

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 0
5 2
6 8
7 56
8 0
9 49
10 11
11 13
12 24
13 22
14 1
15 3
16 6
17 174
18 4
19 3
20 1

About Shailja Shukla

Shailja Shukla is a scholar working on Signal Processing, Cognitive Neuroscience and Analytical Chemistry, having authored 30 papers that have together received 607 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (17 papers), Blind Source Separation Techniques (12 papers) and ECG Monitoring and Analysis (7 papers). The work is most often cited by research in Cognitive Neuroscience (215 citations), Cardiology and Cardiovascular Medicine (214 citations) and Signal Processing (86 citations). Shailja Shukla has collaborated with scholars based in India and United States. Frequent co-authors include Vandana Roy, Hari Mohan, Piyush Kumar Shukla, Paresh Rawat, Amit Kumar Gupta, Vikas Goel, Prashant Kumar Shukla, Bhanu Pratap Singh, Khairunnisa Amreen and Annamalai Senthil Kumar. Their work appears in journals such as Measurement, Weed Research and Biologia Plantarum.

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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