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Topic · Computer Networks and Communications

Smart Systems and Machine Learning

Smart Systems and Machine Learning is a research topic within Computer Networks and Communications. Science Explorer counts 3.9k research works in it since 1960. 10.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on cognitive radio networks, machine learning, and smart technologies for applications such as spectrum handovers, smart farming, urban sustainability, IoT, and wireless sensor networks. It also addresses security techniques, energy efficiency, and social awareness in the context of cognitive radio networks.

  • Cognitive Radio Networks
  • Machine Learning
  • Spectrum Handovers
  • Smart Farming
  • Urban Sustainability
  • IoT
  • Security Techniques
  • Wireless Sensor Networks
  • Energy Efficiency
  • Social Awareness
Research works
3.9k
fractional, since 1960
In the world top 10%
391
per year above
Top-10% rate
10.0%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+166%
the tick is no change
Largest producer
India
66% of the 10 largest, 2022-now
Smart Systems and Machine Learning

Which countries lead Smart Systems and Machine Learning research?

By volume, India and Indonesia publish the most (1.4k and 136 works in 2022-now).

By volume, 2022-now

  1. 1 India 1.4k works
  2. 2 Indonesia 136 works
  3. 3 United States 121 works
  4. 4 China 119 works
  5. 5 ?? 69 works
  6. 6 Iraq 65 works
  7. 7 Malaysia 62 works
  8. 8 Nigeria 57 works
  9. 9 Saudi Arabia 50 works
  10. 10 Pakistan 40 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: 65.5%Indonesia: 6.5%United States: 5.8%China: 5.7%6 others listed: 16.4%66%largest
India1,367 · 65.5%Indonesia136 · 6.5%United States121 · 5.8%China119 · 5.7%6 others listed343 · 16.4%

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

Which institutions lead Smart Systems and Machine Learning research?

By volume in 2022-now, Saveetha University publishes the most Smart Systems and Machine Learning research, followed by SRM Institute of Science and Technology and Chitkara University.

By volume, 2022-now

  1. 1 Saveetha UniversityIndia 126 works
  2. 2 SRM Institute of Science and TechnologyIndia 51 works
  3. 3 Chitkara UniversityIndia 32 works
  4. 4 Lovely Professional UniversityIndia 30 works
  5. 5 Vellore Institute of Technology UniversityIndia 29 works
  6. 6 Graphic Era UniversityIndia 28 works
  7. 7 Chandigarh UniversityIndia 24 works
  8. 8 Uttaranchal UniversityIndia 24 works
  9. 9 Tribhuvan UniversityNepal 23 works
  10. 10 Mangalore UniversityIndia 19 works

Who are the leading researchers in Smart Systems and Machine Learning?

The most-cited researchers publishing on Smart Systems and Machine Learning include Seyedali Mirjalili and Witold Pedrycz.

  1. 1 Seyedali Mirjalili Australia 154k citations
  2. 2 Witold Pedrycz Canada 95k citations

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

What are the most cited papers in Smart Systems and Machine Learning?

The most cited paper in Smart Systems and Machine Learning is "Artificial Intelligence (AI) applications for COVID-19 pandemic" (Raju Vaishya, Mohd Javaid, Ibrahim Haleem Khan et al., 2020), with 1,535 citations. Next come "Recommendation systems: Principles, methods and evaluation" (1,325) and "Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models" (1,187).

Most cited papers
#PaperReleasedCitations
1 Artificial Intelligence (AI) applications for COVID-19 pandemic Raju Vaishya, Mohd Javaid, Ibrahim Haleem Khan et al. · Diabetes & Metabolic Syndrome Clinical Research & Reviews Open access 14 Apr 2020 1,535
2 Recommendation systems: Principles, methods and evaluation Folasade Olubusola Isinkaye, Yetunde O. Folajimi, Bolanle Adefowoke Ojokoh · Egyptian Informatics Journal Open access 20 Aug 2015 1,325
3 Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models Eric Vittinghoff, David V. Glidden, Stephen C. Shiboski et al. · CERN Document Server (European Organization for Nuclear Research) 30 Mar 2006 1,187
4 Effect of Data Scaling Methods on Machine Learning Algorithms and Model Performance Md Manjurul Ahsan, M. A. Parvez Mahmud, Pritom Saha et al. · Technologies Open access 24 Jul 2021 752
5 Heart Disease Identification Method Using Machine Learning Classification in E-Healthcare Jianping Li, Amin Ul Haq, Salah Ud Din et al. · IEEE Access Open access 2020 654
All 99 most cited papers, with filters and sorting

Where is Smart Systems and Machine Learning research done?

The largest centres of Smart Systems and Machine Learning research in 2022-now are Chennai (India), Bengaluru (India), Dehra Dūn (India) and Coimbatore (India). Among places with at least 20 works in it, it is an unusually large share of all research in Dehra Dūn, Phagwāra and Vijayawada.

Largest cities, 2022-now

  1. 1 ChennaiIndia 271 works
  2. 2 BengaluruIndia 70 works
  3. 3 Dehra DūnIndia 61 works
  4. 4 CoimbatoreIndia 61 works
  5. 5 PuneIndia 57 works
  6. 6 HyderabadIndia 40 works
  7. 7 ChandigarhIndia 39 works
  8. 8 Greater NoidaIndia 33 works
  9. 9 VelloreIndia 30 works
  10. 10 PhagwāraIndia 30 works

Where it is the local speciality

  1. Dehra DūnIN · 60.5 works25×
  2. PhagwāraIN · 29.8 works24×
  3. VijayawadaIN · 25.9 works23×
  4. ChennaiIN · 271.4 works22×
  5. Greater NoidaIN · 32.7 works20×
  6. MangaluruIN · 25.1 works17×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Smart Systems and Machine Learning than the world average.

See Smart Systems and Machine Learning on the map

Where is the best place to study Smart Systems and Machine Learning?

Among universities, judged by research, Mangalore University, Saveetha University and Lovely Professional 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 13.84%fractional works in this field (log) →share of work in the world top 10% →Mangalore UniversityLovely Professional …Graphic Era UniversitySaveetha University
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Mangalore UniversityIndia 71.442.5%70.2×19 +300.0%
2Saveetha UniversityIndia 61.34.8%59.9×126 +5805.0%
3Lovely Professional UniversityIndia 56.817.5%27.7×30 +831.7%
4Graphic Era UniversityIndia 54.315.2%36.8×28 +844.7%
5SRM Institute of Science and TechnologyIndia 53.210.3%22.9×51 +542.5%
6Chitkara UniversityIndia 52.413.3%37.5×32 +1202.2%
7Vellore Institute of Technology UniversityIndia 46.89.5%13.2×29 +257.2%
8Tribhuvan UniversityNepal 45.37.7%13.7×23 +176.6%
9Amity UniversityIndia 44.77.4%13.5×13 +218.9%
10Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and TechnologyIndia 43.510.2%33.7×17 +234.0%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Smart Systems and Machine Learning, country by country

Is Smart Systems and Machine Learning research growing?

Output in 2022-2025 was 166% higher than in 2018-2021, peaking in 2024. The fastest-growing topics are Smart Systems and Machine Learning.

still counting19801990200020102020
grewheldshrank

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

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Smart Systems and Machine Learning as a percentage of every work published that year, 0.012% in 2024.

still counting0.0050%0.010%0.015%Smart Systems and Machine Learning0.011% in 202519801990200020102020

Fractional works of Smart Systems and Machine Learning over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Smart Systems and Machine Learning10.3% in 20252020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

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