Rehmat Ullah

1.4k citations
34 papers · 909 indexed · 1 hit paper · h-index 17
Topics
Caching and Content Delivery (18 papers)Opportunistic and Delay-Tolerant Networks (15 papers)Cooperative Communication and Network Coding (13 papers)

In The Last Decade

Rehmat Ullah

33 papers receiving 877 citations

Hit Papers

An Experimental Analysis of Attack Classification Using M...2021202620222024202150100150

Peers

Rehmat Ullah
Comparison fields: 5 of 69
  • Computer Networks and Communications 666
  • Electrical and Electronic Engineering 265
  • Artificial Intelligence 224
  • Information Systems 97
  • Signal Processing 95
Replace Salim El Khediri with:
Salim El Khediri Saudi Arabia
Adel A. Ahmed Saudi Arabia
Bradford Campbell United States
Kannan Govindan United States
Sheikh Tahir Bakhsh Saudi Arabia
Khattab M. Ali Alheeti Iraq
Hon Cheung Australia
Farruh Ishmanov South Korea
Vaskar Raychoudhury India
Xiaofei Xing China
Rehmat Ullah relative to Salim El Khediri Saudi Arabia Salim El Khediri's profile →
Citations per field
00.5×3.2×
Salim El Khediri · 1×
Citations per year

Countries citing papers authored by Rehmat Ullah

Since Specialization
Citations

This map shows the geographic impact of Rehmat Ullah'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 Rehmat Ullah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rehmat Ullah more than expected).

Fields of papers citing papers by Rehmat Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rehmat Ullah. 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 Rehmat Ullah. The network helps show where Rehmat Ullah may publish in the future.

Co-authorship network of co-authors of Rehmat Ullah

This figure shows the co-authorship network connecting the top 25 collaborators of Rehmat Ullah. A scholar is included among the top collaborators of Rehmat Ullah based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rehmat Ullah. Rehmat Ullah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 4
3 7
4 86
5 31
6
An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networksbreakdown →
164
7 23
8 24
9 9
10 26
11 21
12 52
13 5
14 21
15 4
16 3
17 7
18 27
19 20
20 11

About Rehmat Ullah

Rehmat Ullah is a scholar working on Computer Networks and Communications, Health Informatics and Electrical and Electronic Engineering, having authored 34 papers that have together received 909 indexed citations. Recurring topics across this work include Caching and Content Delivery (18 papers), Opportunistic and Delay-Tolerant Networks (15 papers) and Cooperative Communication and Network Coding (13 papers). The work is most often cited by research in Computer Networks and Communications (666 citations), Signal Processing (95 citations) and Artificial Intelligence (224 citations). Rehmat Ullah has collaborated with scholars based in South Korea, United Kingdom and Pakistan. Frequent co-authors include Byung-Seo Kim, Muhammad Atif Ur Rehman, Yasir Faheem, Muhammad Ali Naeem, Boubakr Nour, Mandar Gogate, William J. Buchanan, Syed Hassan Ahmed, Fehaid Alqahtani and Sadaqat Ur Rehman. Their work appears in journals such as IEEE Access, IEEE Communications Magazine and Sensors.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026