Muhammad Diyan

492 citations
20 papers · 308 · h-index 10

Impact in

Papers in

Muhammad Diyan

20 papers receiving 300 citations

Peers

Muhammad Diyan
Comparison fields: 5 of 58
  • Media Technology 55
  • Computer Networks and Communications 138
  • Transportation 40
  • Building and Construction 40
  • Signal Processing 21
Replace Rida Khatoun with:
Rida Khatoun France
Cosmin-Septimiu Nechifor Germany
Thorben Iggena Germany
Riccardo Petrolo United States
Manuel Álvarez-Campana Spain
Maycon Peixoto Brazil
Lamia Karim Morocco
Wenge Rong China
Shuyi Pei United States
Dimitris Kelaidonis Greece
Muhammad Diyan relative to Rida Khatoun France Rida Khatoun's profile →
Citations per field
00.5×1.5×2.5×
Rida Khatoun · 1×
Citations per year

Countries citing papers authored by Muhammad Diyan

Since Specialization
Citations

This map shows the geographic impact of Muhammad Diyan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Muhammad Diyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Diyan more than expected).

Fields of papers citing papers by Muhammad Diyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Diyan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Muhammad Diyan. The network helps show where Muhammad Diyan may publish in the future.

Co-authors

The 25 scholars most cited alongside Muhammad Diyan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Muhammad Diyan Line = papers co-authored together Muhammad Diyan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201893
2 201857
3 202029
4 201821
5 202018
6 202217
7 202012
8 202411
9 20189
10 20209
11 20246
12 20206
13 20206
14 20224
15 20214
16 20222
17 20241
18 20191
19 20181
20 20251

About Muhammad Diyan

Muhammad Diyan is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Signal Processing, Computer Vision and Pattern Recognition and Sociology and Political Science, having authored 20 papers that have together received 308 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (7 papers), Smart Grid Energy Management (3 papers), Mobile Ad Hoc Networks (3 papers), Green IT and Sustainability (3 papers), Caching and Content Delivery (2 papers), Energy Efficient Wireless Sensor Networks (2 papers), Context-Aware Activity Recognition Systems (2 papers) and Vehicular Ad Hoc Networks (VANETs) (2 papers). The work is most often cited by research in Media Technology (55 citations), Computer Networks and Communications (138 citations), Transportation (40 citations), Building and Construction (40 citations) and Signal Processing (21 citations). Muhammad Diyan has collaborated with scholars based in South Korea, United Kingdom and Pakistan. Frequent co-authors include Kijun Han, Bhagya Nathali Silva, Jihun Han, Jilong Li, Murad Khan, Murad Khan, Javed Iqbal, Muhammad Talha, Arshad Muhammad and Jawad Ahmad. Their work appears in journals such as Sensors, Applied Sciences, Transactions on Emerging Telecommunications Technologies, CAAI Transactions on Intelligence Technology and Sustainable Cities and Society.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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