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Opportunistic and Delay-Tolerant Networks

Opportunistic and Delay-Tolerant Networks is a research topic within Computer Networks and Communications. Science Explorer counts 33k research works in it since 1957. 22.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on delay-tolerant networking in mobile ad hoc networks, exploring topics such as opportunistic routing, social network analysis, epidemic routing, dynamic networks, mobility models, resource allocation, and disruption-tolerant networks. The research addresses challenges and opportunities in communication protocols for intermittently connected environments.

  • Delay-Tolerant Networks
  • Mobile Ad Hoc Networks
  • Opportunistic Routing
  • Social Network Analysis
  • Epidemic Routing
  • Dynamic Networks
  • Mobility Models
  • Resource Allocation
  • Disruption-Tolerant Networks
  • Community-Based Routing
Research works
33k
fractional, since 1957
In the world top 10%
7.2k
per year above
Top-10% rate
22.0%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-21%
the tick is no change

Which countries lead Opportunistic and Delay-Tolerant Networks research?

By volume, China and India publish the most (1.2k and 636 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.2k works
  2. 2 India 636 works
  3. 3 United States 436 works
  4. 4 Japan 144 works
  5. 5 Germany 110 works
  6. 6 South Korea 104 works
  7. 7 Italy 102 works
  8. 8 United Kingdom 101 works
  9. 9 Canada 83 works
  10. 10 France 82 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: 40.2%India: 21.2%United States: 14.5%Japan: 4.8%6 others listed: 19.4%40%largest
China1,206 · 40.2%India636 · 21.2%United States436 · 14.5%Japan144 · 4.8%6 others listed582 · 19.4%

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

Which institutions lead Opportunistic and Delay-Tolerant Networks research?

By volume in 2022–2025, Beijing University of Posts and Telecommunications publishes the most Opportunistic and Delay-Tolerant Networks research, followed by National University of Defense Technology and Xidian University.

Who are the leading researchers in Opportunistic and Delay-Tolerant Networks?

The most-cited researchers publishing on Opportunistic and Delay-Tolerant Networks include Ion Stoica, H. Vincent Poor and Ian F. Akyildiz.

  1. 1 Ion Stoica United States 9.6k citations
  2. 2 H. Vincent Poor United States 9.5k citations
  3. 3 Ian F. Akyildiz United States 8.2k citations
  4. 4 Deborah Estrin United States 5.9k citations
  5. 5 Mohamed‐Slim Alouini Saudi Arabia 5.9k citations
  6. 6 Hari Balakrishnan United States 5.5k citations
  7. 7 Guanrong Chen Hong Kong 5.4k citations

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

Where is Opportunistic and Delay-Tolerant Networks research done?

The largest centres of Opportunistic and Delay-Tolerant Networks research in 2022–2025 are Beijing (China), Nanjing (China), Xi'an (China) and Shanghai (China).

Largest cities, 2022–2025

  1. 1 Beijing China 312 works
  2. 2 Nanjing China 99 works
  3. 3 Xi'an China 81 works
  4. 4 Shanghai China 70 works
  5. 5 Chennai India 63 works
  6. 6 Changsha China 58 works
  7. 7 Tokyo Japan 50 works
  8. 8 Seoul South Korea 46 works
  9. 9 Wuhan China 43 works
  10. 10 Guangzhou China 40 works
See Opportunistic and Delay-Tolerant Networks on the map

Where is the best place to study Opportunistic and Delay-Tolerant Networks?

Among universities, judged by research, Beijing University of Posts and Telecommunications, Xidian University and King Abdullah University of Science and Technology 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 34.9%fractional works in this node (log) →share in the world top 10% →Beijing University of Posts and Telecommunications: 62, 33.4%Xidian University: 27, 40.6%King Abdullah University of Science and Technology: 8, 56.1%Shanghai Maritime University: 9, 34.8%University of Luxembourg: 9, 39.0%Chongqing University of Posts and Telecommunications: 19, 31.3%PLA Army Engineering University: 14, 28.0%University of Houston: 9, 25.3%Koneru Lakshmaiah Education Foundation: 10, 19.3%Carleton University: 9, 41.2%King Abdullah Univer…Xidian UniversityShanghai Maritime Un…Beijing 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 70.333.4%24.8×62 +67.1%
2 Xidian UniversityChina 63.940.6%9.0×27 +65.5%
3 King Abdullah University of Science and TechnologySaudi Arabia 58.356.1%7.1×8 -12.4%
4 Shanghai Maritime UniversityChina 53.534.8%9.0×9 +127.2%
5 University of LuxembourgLuxembourg 53.339.0%9.4×9 -20.3%
6 Chongqing University of Posts and TelecommunicationsChina 51.631.3%16.4×19 -28.7%
7 PLA Army Engineering UniversityChina 50.828.0%30.1×14 +56.1%
8 University of HoustonUnited States 50.425.3%7.0×9 +281.3%
9 Koneru Lakshmaiah Education FoundationIndia 49.219.3%8.3×10 +496.6%
10 Carleton UniversityCanada 48.241.2%7.7×9 -1.3%

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 Opportunistic and Delay-Tolerant Networks research growing?

Output in 2018–2022 was 21% lower than in 2013–2017, peaking in 2012. The fastest-growing topics are Opportunistic and Delay-Tolerant Networks.

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.