Science Explorer Back to mapMap
Discussion
Topic · Information Systems and Management

Big Data Technologies and Applications

Big Data Technologies and Applications is a research topic within Information Systems and Management. Science Explorer counts 10k research works in it since 1952. 9.8% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the impact of big data on society and industry, covering topics such as data management, machine learning, ethical considerations, and the transformation of various industries. It delves into the opportunities and challenges presented by the digital age, emphasizing the social and economic implications of big data.

  • Big Data
  • Data Analytics
  • Information Technology
  • Digital Age
  • Machine Learning
  • Social Impact
  • Data Management
  • Artificial Intelligence
  • Industry Transformation
  • Ethical Considerations
Research works
10k
fractional, since 1952
In the world top 10%
1k
per year above
Top-10% rate
9.8%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+21%
the tick is no change
Largest producer
China
51% of the 10 largest, 2022-now
Big Data Technologies and Applications

Which countries lead Big Data Technologies and Applications research?

By volume, China and the United States publish the most (1.1k and 380 works in 2022-now).

By volume, 2022-now

  1. 1 China 1.1k works
  2. 2 United States 380 works
  3. 3 India 311 works
  4. 4 United Kingdom 93 works
  5. 5 Germany 63 works
  6. 6 Indonesia 56 works
  7. 7 Russia 56 works
  8. 8 ?? 49 works
  9. 9 Australia 39 works
  10. 10 Italy 37 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: 50.7%United States: 17.3%India: 14.2%United Kingdom: 4.2%6 others listed: 13.7%51%largest
China1,113 · 50.7%United States380 · 17.3%India311 · 14.2%United Kingdom93 · 4.2%6 others listed300 · 13.7%

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

Which institutions lead Big Data Technologies and Applications research?

By volume in 2022-now, State Grid Corporation of China (China) publishes the most Big Data Technologies and Applications research, followed by China Southern Power Grid (China) and Chinese Academy of Sciences.

By volume, 2022-now

  1. 1 State Grid Corporation of China (China)China 36 works
  2. 2 China Southern Power Grid (China)China 27 works
  3. 3 Chinese Academy of SciencesChina 22 works
  4. 4 Shanghai Electric (China)China 16 works
  5. 5 American Society of GenealogistsUnited States 15 works
  6. 6 North China Electric Power UniversityChina 12 works
  7. 7 Russian Academy of SciencesRussia 10 works
  8. 8 Xi'an Jiaotong UniversityChina 10 works
  9. 9 Peking UniversityChina 10 works
  10. 10 George Mason UniversityUnited States 9 works

Who are the leading researchers in Big Data Technologies and Applications?

The most-cited researchers publishing on Big Data Technologies and Applications include P. Jackson, Kai You Wang and G. Mitselmakher.

  1. 1 P. Jackson France 230k citations
  2. 2 Kai You Wang China 224k citations
  3. 3 G. Mitselmakher France 223k citations
  4. 4 L. Li France 211k citations
  5. 5 M. Costa France 207k citations
  6. 6 Daniel A. Bloch France 190k citations
  7. 7 R. W. L. Jones United Kingdom 189k 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 Technologies and Applications?

The most cited paper in Big Data Technologies and Applications is "Google Earth Engine: Planetary-scale geospatial analysis for everyone" (Noel Gorelick, M. Hancher, Mike Dixon et al., 2017), with 15,009 citations. Next come "CRITICAL QUESTIONS FOR BIG DATA" (5,459) and "Beyond the hype: Big data concepts, methods, and analytics" (4,219).

Most cited papers
#PaperReleasedCitations
1 Google Earth Engine: Planetary-scale geospatial analysis for everyone Noel Gorelick, M. Hancher, Mike Dixon et al. · Remote Sensing of Environment Open access 6 Jul 2017 15,009
2 CRITICAL QUESTIONS FOR BIG DATA danah boyd, Kate Crawford · Information Communication & Society 10 May 2012 5,459
3 Beyond the hype: Big data concepts, methods, and analytics Amir Gandomi, Murtaza Haider · International Journal of Information Management Open access 2 Dec 2014 4,219
4 Data-intensive applications, challenges, techniques and technologies: A survey on Big Data C. L. Philip Chen, Chun‐yang Zhang · Information Sciences 21 Jan 2014 3,060
5 Big Data, new epistemologies and paradigm shifts Rob Kitchin · Big Data & Society Open access Apr 2014 2,346
All 100 most cited papers, with filters and sorting

Where is Big Data Technologies and Applications research done?

The largest centres of Big Data Technologies and Applications research in 2022-now are Beijing (China), Guangzhou (China), Shanghai (China) and Wuhan (China).

Largest cities, 2022-now

  1. 1 BeijingChina 231 works
  2. 2 GuangzhouChina 71 works
  3. 3 ShanghaiChina 63 works
  4. 4 WuhanChina 60 works
  5. 5 NanjingChina 55 works
  6. 6 Xi'anChina 49 works
  7. 7 JinanChina 32 works
  8. 8 ChennaiIndia 29 works
  9. 9 ChengduChina 28 works
  10. 10 MoscowRussia 27 works
See Big Data Technologies and Applications on the map

Where is the best place to study Big Data Technologies and Applications?

Among universities, judged by research, George Mason University, Peking University and Wuhan 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 7.1%fractional works in this field (log) →share of work in the world top 10% →Wuhan UniversityPeking UniversityGeorge Mason Univers…North China Electric…
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
1George Mason UniversityUnited States 78.89.9%11.9×9 +227.4%
2Peking UniversityChina 64.815.2%1.9×10 +508.2%
3Wuhan UniversityChina 63.116.9%2.6×9 +73.1%
4North China Electric Power UniversityChina 57.93.4%7.1×12 +7.1%
5Wuhan University of TechnologyChina 37.38.5%4.3×8 +25.4%
6SRM Institute of Science and TechnologyIndia 33.85.3%3.3×8 +226.3%
7Anhui University of Finance and EconomicsChina 33.43.9%25.6×8 +455.6%
8Xi'an Jiaotong UniversityChina 31.40.6%2.2×10 +171.3%
9Tianjin University of TechnologyChina 26.60.2%13.4×9 +287.8%

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 Technologies and Applications, country by country

Is Big Data Technologies and Applications research growing?

Output in 2022-2025 was 21% higher than in 2018-2021, peaking in 2024. The fastest-growing topics are Big Data Technologies and Applications.

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 Technologies and Applications as a percentage of every work published that year, 0.015% in 2024.

still counting0.010%0.020%Big Data Technologies and Applications0.012% in 202519801990200020102020

Fractional works of Big Data Technologies and Applications 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 Technologies and Applications10.3% in 2025200020102020

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.

Discussion

Ask a question or share a note about Big Data Technologies and Applications. Posts are plain text and can be reported.