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Topic · Information Systems

Big Data and Digital Economy

Big Data and Digital Economy is a research topic within Information Systems. Science Explorer counts 7.5k research works in it since 1960. 9.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the intersection of big data and cloud computing technologies, with an emphasis on security, energy efficiency, machine learning, IoT, privacy protection, resource allocation, and cybersecurity in the context of mobile sensing. The papers cover a wide range of topics including data optimization, secure communication, efficient resource allocation, and privacy-preserving strategies.

  • Big Data
  • Cloud Computing
  • Security
  • Energy Efficiency
  • Machine Learning
  • IoT
  • Privacy Protection
  • Resource Allocation
  • Cybersecurity
  • Mobile Sensing
Research works
7.5k
fractional, since 1960
In the world top 10%
742
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+292%
the tick is no change
Largest producer
China
37% of the 10 largest, 2022-now
Big Data and Digital Economy

Which countries lead Big Data and Digital Economy research?

By volume, China and India publish the most (1.6k and 993 works in 2022-now).

By volume, 2022-now

  1. 1 China 1.6k works
  2. 2 India 993 works
  3. 3 United States 853 works
  4. 4 Brazil 299 works
  5. 5 United Kingdom 145 works
  6. 6 Germany 111 works
  7. 7 Canada 90 works
  8. 8 South Korea 80 works
  9. 9 Japan 78 works
  10. 10 Italy 77 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.

China: 37.2%India: 22.9%United States: 19.7%Brazil: 6.9%6 others listed: 13.4%37%largest
China1,612 · 37.2%India993 · 22.9%United States853 · 19.7%Brazil299 · 6.9%6 others listed581 · 13.4%

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

Which institutions lead Big Data and Digital Economy research?

By volume in 2022-now, Chinese Academy of Sciences publishes the most Big Data and Digital Economy research, followed by Film Independent and State Grid Corporation of China (China).

By volume, 2022-now

  1. 1 Chinese Academy of SciencesChina 45 works
  2. 2 Film IndependentUnited States 43 works
  3. 3 State Grid Corporation of China (China)China 34 works
  4. 4 American Society of GenealogistsUnited States 31 works
  5. 5 SRM Institute of Science and TechnologyIndia 28 works
  6. 6 Beijing University of Posts and TelecommunicationsChina 26 works
  7. 7 Institute of Electrical and Electronics EngineersUnited States 25 works
  8. 8 Saveetha UniversityIndia 23 works
  9. 9 Chandigarh UniversityIndia 21 works
  10. 10 CHDI FoundationUnited States 21 works

Who are the leading researchers in Big Data and Digital Economy?

The most-cited researchers publishing on Big Data and Digital Economy include Philip S. Yu.

  1. 1 Philip S. Yu United States 141k 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 Big Data and Digital Economy?

The most cited paper in Big Data and Digital Economy is "Federated Learning: Challenges, Methods, and Future Directions" (Tian Li, Anit Kumar Sahu, Ameet Talwalkar et al., 2020), with 5,060 citations. Next come "Deep Learning: Methods and Applications" (3,405) and "Mobile Edge Computing: A Survey on Architecture and Computation Offloading" (3,092).

Most cited papers
#PaperReleasedCitations
1 Federated Learning: Challenges, Methods, and Future Directions Tian Li, Anit Kumar Sahu, Ameet Talwalkar et al. · IEEE Signal Processing Magazine Open access May 2020 5,060
2 Deep Learning: Methods and Applications Li Deng, Dong Yu · Foundations and Trends® in Signal Processing Open access 30 Jun 2014 3,405
3 Mobile Edge Computing: A Survey on Architecture and Computation Offloading Pavel Mach, Zdenek Becvar · IEEE Communications Surveys & Tutorials Open access 2017 3,092
4 Machine learning and deep learning Christian Janiesch, Patrick Zschech, Kai Heinrich · Electronic Markets Open access 8 Apr 2021 2,634
5 Computer science as empirical inquiry Allen Newell, Herbert A. Simon · Communications of the ACM Mar 1976 2,345
All 101 most cited papers, with filters and sorting

Where is Big Data and Digital Economy research done?

The largest centres of Big Data and Digital Economy research in 2022-now are Beijing (China), Chennai (India), Shanghai (China) and Guangzhou (China). Among places with at least 20 works in it, it is an unusually large share of all research in Piscataway, Sharon and Greater Noida.

Largest cities, 2022-now

  1. 1 BeijingChina 341 works
  2. 2 ChennaiIndia 113 works
  3. 3 ShanghaiChina 107 works
  4. 4 GuangzhouChina 83 works
  5. 5 NanjingChina 72 works
  6. 6 WuhanChina 71 works
  7. 7 BengaluruIndia 69 works
  8. 8 Xi'anChina 69 works
  9. 9 New YorkUnited States 61 works
  10. 10 PuneIndia 57 works

Where it is the local speciality

  1. PiscatawayUS · 25.9 works79×
  2. SharonUS · 30.7 works54×
  3. Greater NoidaIN · 22.6 works6.6×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Big Data and Digital Economy than the world average.

See Big Data and Digital Economy on the map

Where is the best place to study Big Data and Digital Economy?

Among universities, judged by research, Beijing University of Posts and Telecommunications, Nanyang Technological University and Peking 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%10%20%mean 14.44%fractional works in this field (log) →share of work in the world top 10% →Nanyang Technologica…Peking UniversityBeijing University o…Institute of Electri…
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
1Beijing University of Posts and TelecommunicationsChina 75.916.8%8.4×26 +855.8%
2Nanyang Technological UniversitySingapore 70.523.7%2.7×10 +447.6%
3Peking UniversityChina 61.017.9%1.6×16 +439.8%
4Institute of Electrical and Electronics EngineersUnited States 59.97.9%184.3×25 +16.9%
5Sun Yat-sen UniversityChina 59.222.5%1.1×10 +127.6%
6National University of Defense TechnologyChina 53.912.9%4.4×16 +425.7%
7Tsinghua UniversityChina 53.914.3%1.5×16 +376.2%
8Saveetha UniversityIndia 52.48.0%5.1×23 -
9SRM Institute of Science and TechnologyIndia 51.25.7%5.7×28 -
10Shanghai Jiao Tong UniversityChina 50.914.7%1.2×17 -

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 Big Data and Digital Economy, country by country

Is Big Data and Digital Economy research growing?

Output in 2022-2025 was 292% higher than in 2018-2021, peaking in 2026. The fastest-growing topics are Big Data and Digital Economy.

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 Big Data and Digital Economy as a percentage of every work published that year, 0.0075% in 2024.

still counting0.020%0.040%Big Data and Digital Economy0.039% in 202519801990200020102020

Fractional works of Big Data and Digital Economy 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%Big Data and Digital Economy9.6% in 202520102020

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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