Fasee Ullah

1.9k citations
70 papers · 1.2k · h-index 19

Impact in

Papers in

Fasee Ullah

63 papers receiving 1.1k citations

Peers

Fasee Ullah
Comparison fields: 5 of 104
  • Computer Networks and Communications 660
  • Information Systems 174
  • Biomedical Engineering 254
  • Electrical and Electronic Engineering 316
  • Industrial and Manufacturing Engineering 50
Replace José Ignacio Moreno with:
José Ignacio Moreno Spain
Asim Zeb Pakistan
Mohammed Talal Malaysia
Murad Khan South Korea
Vladimir Vujović Bosnia and Herzegovina
Ki‐Hyung Kim South Korea
Kien Nguyen Japan
Muhammed Ali Aydın Türkiye
Saguna Saguna Sweden
Hucheng Wang China
Fasee Ullah relative to José Ignacio Moreno Spain José Ignacio Moreno's profile →
Citations per field
00.5×2×4×5.3×
José Ignacio Moreno · 1×
Citations per year

Countries citing papers authored by Fasee Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Fasee Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fasee Ullah, 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 Fasee Ullah Line = papers co-authored together Fasee Ullah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021251
2
SPINS: Security Protocols for Sensor Networks
2011186
3 202184
4 201758
5 201745
6 201736
7 201932
8 201732
9 201630
10 201927
11 202023
12 201822
13 201720
14 202219
15 202019
16 201319
17 200918
18 201118
19 201618
20 201816

About Fasee Ullah

Fasee Ullah is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Biomedical Engineering, Information Systems and Artificial Intelligence, having authored 70 papers that have together received 1.2k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (18 papers), Opportunistic and Delay-Tolerant Networks (17 papers), Wireless Body Area Networks (16 papers), Molecular Communication and Nanonetworks (13 papers), Mobile Ad Hoc Networks (12 papers), Energy Efficient Wireless Sensor Networks (10 papers), Vehicular Ad Hoc Networks (VANETs) (8 papers) and Blockchain Technology Applications and Security (5 papers). The work is most often cited by research in Computer Networks and Communications (660 citations), Information Systems (174 citations), Biomedical Engineering (254 citations), Electrical and Electronic Engineering (316 citations) and Industrial and Manufacturing Engineering (50 citations). Fasee Ullah has collaborated with scholars based in Pakistan, Malaysia and Saudi Arabia. Frequent co-authors include Abdul Hanan Abdullah, Omprakash Kaiwartya, Masood Habib, Sultan S. Alshamrani, Ahmed Saeed AlGhamdi, Muhammad Ibrahim, Tahir Mehmood, Ali Bhutto, Hongyu Zhu and Rasikh Tariq. Their work appears in journals such as IEEE Access, Computers, materials & continua/Computers, materials & continua (Print), Wireless Communications and Mobile Computing, Computer Communications and Complexity.

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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