Science Explorer Interactive view Map

IoT and Edge/Fog Computing

IoT and Edge/Fog Computing is a research topic within Computer Networks and Communications. Science Explorer counts 62k research works in it since 1966. 27.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the intersection of Internet of Things (IoT) and edge computing, including topics such as fog computing, mobile edge computing, security and privacy challenges, applications in smart cities and healthcare, 5G networks, and the integration of deep learning with IoT. The papers also discuss the potential of IoT in enabling technologies, the challenges in architecture, and the future directions for IoT development.

  • Internet of Things
  • Edge Computing
  • Fog Computing
  • Mobile Edge Computing
  • Security and Privacy
  • Smart Cities
  • Healthcare
  • 5G Networks
  • Deep Learning
  • IoT Security
Research works
62k
fractional, since 1966
In the world top 10%
17k
per year above
Top-10% rate
27.9%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+156%
the tick is no change

Which countries lead IoT and Edge/Fog Computing research?

By volume, India and China publish the most (6.1k and 5.1k works in 2022–2025).

By volume, 2022–2025

  1. 1 India 6.1k works
  2. 2 China 5.1k works
  3. 3 United States 1.9k works
  4. 4 United Kingdom 600 works
  5. 5 Italy 567 works
  6. 6 Saudi Arabia 529 works
  7. 7 South Korea 511 works
  8. 8 Brazil 506 works
  9. 9 Canada 464 works
  10. 10 Germany 424 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: 36.3%China: 30.7%United States: 11.4%United Kingdom: 3.6%6 others listed: 18.0%36%largest
India6,069 · 36.3%China5,121 · 30.7%United States1,905 · 11.4%United Kingdom600 · 3.6%6 others listed3,001 · 18.0%

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

Which institutions lead IoT and Edge/Fog Computing research?

By volume in 2022–2025, Beijing University of Posts and Telecommunications publishes the most IoT and Edge/Fog Computing research, followed by SRM Institute of Science and Technology and Vellore Institute of Technology University.

Who are the leading researchers in IoT and Edge/Fog Computing?

The most-cited researchers publishing on IoT and Edge/Fog Computing include H. Vincent Poor, Rajkumar Buyya and Rui Zhang.

  1. 1 H. Vincent Poor United States 9.5k citations
  2. 2 Rajkumar Buyya Australia 7.8k citations
  3. 3 Rui Zhang Singapore 6k citations
  4. 4 Deborah Estrin United States 5.9k citations
  5. 5 Mohamed‐Slim Alouini Saudi Arabia 5.9k citations
  6. 6 Xuemin Shen Canada 5.1k citations

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

Where is IoT and Edge/Fog Computing research done?

The largest centres of IoT and Edge/Fog Computing research in 2022–2025 are Beijing (China), Chennai (India), Nanjing (China) and Bengaluru (India). Among places with at least 20 works in it, it is an unusually large share of all research in Gumi and Coimbatore.

Largest cities, 2022–2025

  1. 1 Beijing China 1.1k works
  2. 2 Chennai India 678 works
  3. 3 Nanjing China 377 works
  4. 4 Bengaluru India 361 works
  5. 5 Shanghai China 278 works
  6. 6 Guangzhou China 265 works
  7. 7 Xi'an China 258 works
  8. 8 Seoul South Korea 240 works
  9. 9 Coimbatore India 227 works
  10. 10 Pune India 222 works

Where it is the local speciality

  1. GumiKR · 26.6 works16×
  2. Coimbatore29.6 works14×
← less than its size predictsmore →

Location quotient: how much more of its research is in IoT and Edge/Fog Computing than the world average.

See IoT and Edge/Fog Computing on the map

Where is the best place to study IoT and Edge/Fog Computing?

Among universities, judged by research, Beijing University of Posts and Telecommunications, Mohamed bin Zayed University of Artificial Intelligence and National University of Computer and Emerging Sciences 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%60%mean 33.39%fractional works in this node (log) →share in the world top 10% →Beijing University of Posts and Telecommunications: 221, 25.8%Mohamed bin Zayed University of Artificial Intelligence: 20, 55.1%National University of Computer and Emerging Sciences: 13, 47.7%Graphic Era University: 83, 26.8%Chandigarh University: 132, 21.6%SRM University: 49, 32.8%Vellore Institute of Technology University: 178, 28.7%Singapore University of Technology and Design: 18, 42.4%KIIT University: 64, 23.5%Nirma University: 32, 29.5%Mohamed bin Zayed Un…National University …Graphic Era UniversityBeijing University o…
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 Beijing University of Posts and TelecommunicationsChina 73.925.8%14.9×221 +219.2%
2 Mohamed bin Zayed University of Artificial IntelligenceUnited Arab Emirates 72.955.1%21.0×20
3 National University of Computer and Emerging SciencesPakistan 70.747.7%10.8×13 +355.3%
4 Graphic Era UniversityIndia 68.826.8%10.0×83 +283.3%
5 Chandigarh UniversityIndia 68.621.6%10.0×132 +916.3%
6 SRM UniversityIndia 67.832.8%11.0×49 +971.9%
7 Vellore Institute of Technology UniversityIndia 67.528.7%7.5×178 +1501.3%
8 Singapore University of Technology and DesignSingapore 67.442.4%8.3×18 +347.1%
9 KIIT UniversityIndia 64.423.5%10.1×64 +391.2%
10 Nirma UniversityIndia 62.729.5%13.7×32 +1539.4%

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 IoT and Edge/Fog Computing research growing?

Output in 2018–2022 was 156% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are IoT and Edge/Fog Computing.

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.