Science Explorer Interactive view Map

ECG Monitoring and Analysis

ECG Monitoring and Analysis is a research topic within Cardiology and Cardiovascular Medicine. Science Explorer counts 34k research works in it since 1950. 15.2% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the analysis, classification, and processing of electrocardiogram (ECG) signals for applications such as arrhythmia detection, cardiac health diagnosis, and physiological monitoring. The papers cover topics including deep learning, wavelet transform, signal quality assessment, noise reduction, and real-time ECG monitoring for telemedicine.

  • ECG Signal
  • Arrhythmia Detection
  • Deep Learning
  • Classification
  • Signal Processing
  • Physiological Monitoring
  • Heartbeat Classification
  • Wavelet Transform
  • Cardiac Health Diagnosis
  • Telemedicine
Research works
34k
fractional, since 1950
In the world top 10%
5.1k
per year above
Top-10% rate
15.2%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+50%
the tick is no change

This ranks research output and citation impact. It says nothing about the quality of diagnosis, treatment or care.

Which countries lead ECG Monitoring and Analysis research?

By volume, India and China publish the most (1.8k and 1.3k works in 2022–2025).

By volume, 2022–2025

  1. 1 India 1.8k works
  2. 2 China 1.3k works
  3. 3 United States 1.1k works
  4. 4 United Kingdom 275 works
  5. 5 Italy 241 works
  6. 6 South Korea 228 works
  7. 7 Indonesia 197 works
  8. 8 Japan 193 works
  9. 9 Germany 179 works
  10. 10 Spain 163 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

India: 31.4%China: 23.4%United States: 19.6%United Kingdom: 4.8%6 others listed: 20.9%31%largest
India1,798 · 31.4%China1,340 · 23.4%United States1,121 · 19.6%United Kingdom275 · 4.8%6 others listed1,201 · 20.9%

Shares of the rows listed above, not of the whole node.

Which institutions lead ECG Monitoring and Analysis research?

By volume in 2022–2025, Vellore Institute of Technology University publishes the most ECG Monitoring and Analysis research, followed by SRM Institute of Science and Technology and Saveetha University.

Who are the leading researchers in ECG Monitoring and Analysis?

The most-cited researchers publishing on ECG Monitoring and Analysis include Harlan M. Krumholz and Luca Benini.

  1. 1 Harlan M. Krumholz United States 4.7k citations
  2. 2 Luca Benini Italy 4.6k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is ECG Monitoring and Analysis research done?

The largest centres of ECG Monitoring and Analysis research in 2022–2025 are Chennai (India), Beijing (China), Shanghai (China) and Bengaluru (India). Among places with at least 20 works in it, it is an unusually large share of all research in Vijayawada and Raurkela.

Largest cities, 2022–2025

  1. 1 Chennai India 225 works
  2. 2 Beijing China 192 works
  3. 3 Shanghai China 112 works
  4. 4 Bengaluru India 99 works
  5. 5 Seoul South Korea 97 works
  6. 6 Coimbatore India 92 works
  7. 7 London United Kingdom 92 works
  8. 8 Guangzhou China 68 works
  9. 9 Nanjing China 66 works
  10. 10 Vellore India 64 works

Where it is the local speciality

  1. VijayawadaIN · 41.3 works11×
  2. RaurkelaIN · 22.5 works11×
← less than its size predictsmore →

Location quotient: how much more of its research is in ECG Monitoring and Analysis than the world average.

See ECG Monitoring and Analysis on the map

Where is the best place to study ECG Monitoring and Analysis?

Among universities, judged by research, Vellore Institute of Technology University, SRM Institute of Science and Technology and King Saud University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%mean 22.2%fractional works in this node (log) →share in the world top 10% →Vellore Institute of Technology University: 62, 21.2%SRM Institute of Science and Technology: 60, 13.1%King Saud University: 10, 44.1%National Institute of Technology Rourkela: 22, 22.6%Amrita Vishwa Vidyapeetham: 30, 19.0%SRM University: 19, 21.1%VIT-AP University: 13, 29.4%Koneru Lakshmaiah Education Foundation: 20, 27.8%Telkom University: 35, 10.6%Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology: 25, 13.1%King Saud UniversityNational Institute o…Vellore Institute of…SRM Institute of Sci…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Vellore Institute of Technology UniversityIndia 68.921.2%7.4×62 +495.6%
2 SRM Institute of Science and TechnologyIndia 65.213.1%8.5×60 +187.2%
3 King Saud UniversitySaudi Arabia 59.244.1%1.4×10 +231.1%
4 National Institute of Technology RourkelaIndia 58.622.6%11.1×22 +75.4%
5 Amrita Vishwa VidyapeethamIndia 58.519.0%6.7×30 +371.4%
6 SRM UniversityIndia 57.821.1%12.4×19 +79.1%
7VIT-AP University?? 57.229.4%21.6×13
8 Koneru Lakshmaiah Education FoundationIndia 56.327.8%8.2×20
9 Telkom UniversityIndonesia 55.910.6%7.8×35 +1477.8%
10 Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and TechnologyIndia 53.813.1%13.1×25

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is ECG Monitoring and Analysis research growing?

Output in 2018–2022 was 50% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are ECG Monitoring and Analysis.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.