Binish Fatimah

919 citations
32 papers · 654 · h-index 11

Impact in

Papers in

    • Digital Filter Design and Implementation 3
    • Biometric Identification and Security 2
    • Music and Audio Processing 2
    • Mathematical Analysis and Transform Methods 5

Binish Fatimah

29 papers receiving 636 citations

Peers

Binish Fatimah
Comparison fields: 5 of 54
  • Signal Processing 91
  • Cardiology and Cardiovascular Medicine 213
  • Cognitive Neuroscience 81
  • Radiology, Nuclear Medicine and Imaging 75
  • Physiology 57
Replace Roneel V. Sharan with:
Roneel V. Sharan Australia
Taufiq Hasan United States
Evaggelos C. Karvounis Greece
Daming Wei Japan
Jyotindra Singh Sahambi India
Diana P. Tobón Colombia
Francisco Assis de Oliveira Nascimento Brazil
Ahmet Mert Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by Binish Fatimah

Since Specialization
Citations

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

Fields of papers citing papers by Binish Fatimah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Binish Fatimah, 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 Binish Fatimah Line = papers co-authored together Binish Fatimah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019127
2 2020106
3 2022106
4 202158
5 202151
6 202244
7 202027
8 202025
9 202017
10 202216
11 202113
12 202411
13 20228
14 20216
15 20216
16 20235
17 20214
18 20093
19 20153
20 20203

About Binish Fatimah

Binish Fatimah is a scholar working on Signal Processing, Applied Mathematics, Cardiology and Cardiovascular Medicine, Modeling and Simulation and Cognitive Neuroscience, having authored 32 papers that have together received 654 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (6 papers), Mathematical Analysis and Transform Methods (5 papers), EEG and Brain-Computer Interfaces (3 papers), Digital Filter Design and Implementation (3 papers), Biometric Identification and Security (2 papers), Music and Audio Processing (2 papers), Muscle activation and electromyography studies (2 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Signal Processing (91 citations), Cardiology and Cardiovascular Medicine (213 citations), Cognitive Neuroscience (81 citations), Radiology, Nuclear Medicine and Imaging (75 citations) and Physiology (57 citations). Binish Fatimah has collaborated with scholars based in India, Bangladesh and United States. Frequent co-authors include Pushpendra Singh, Amit Singhal, Ram Bilas Pachori, Shiv Dutt Joshi, Anubha Gupta, Abhishek Javali, G. Priyanka, Shekhar Kunal, Mohit Dayal Gupta and Vishal Batra. Their work appears in journals such as Biomedical Signal Processing and Control, Computers in Biology and Medicine, IEEE Transactions on Instrumentation and Measurement, IEEE Signal Processing Magazine and Applied Soft Computing.

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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