Zaib Ullah

1.3k citations
14 papers · 858 · 1 hit paper · h-index 9

Impact in

Papers in

Zaib Ullah

12 papers receiving 812 citations

Zaib Ullah's Hit Papers

Applications of Artificial Intelligence and Machine learning in smart cities 2020 · 441 citations
4410+2+4Years since publication100200300400

Peers

Zaib Ullah
Comparison fields: 5 of 98
  • Computer Networks and Communications 345
  • Media Technology 120
  • Transportation 84
  • Aerospace Engineering 208
  • Building and Construction 94
Replace Roberto Gagliardi with:
Roberto Gagliardi Italy
Essaïd Sabir Morocco
Federico Montori Italy
Pouria Amirian Ireland
Abdu Saif Yemen
Francesco Malandrino Italy
Gürkan Solmaz United States
Yasir Mehmood Germany
Hairulnizam Mahdin Malaysia
Ernő Kovács Germany
Zaib Ullah relative to Roberto Gagliardi Italy Roberto Gagliardi's profile →
Citations per field
00.5×3.4×
Roberto Gagliardi · 1×
Citations per year

Countries citing papers authored by Zaib Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Zaib Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Zaib 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 Zaib Ullah Line = papers co-authored together Zaib Ullah links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Applications of Artificial Intelligence and Machine learning in smart cities
Hit paper breakdown →
2020441
2 2020172
3 202063
4 202355
5 202042
6 201633
7 201529
8 201910
9 20228
10 20232
11 20242
12 20241
13 20250
14 20240

About Zaib Ullah

Zaib Ullah is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Artificial Intelligence and Automotive Engineering, having authored 14 papers that have together received 858 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (3 papers), Energy Harvesting in Wireless Networks (3 papers), Advanced MIMO Systems Optimization (3 papers), UAV Applications and Optimization (3 papers), Advanced Wireless Communication Technologies (2 papers), Vehicular Ad Hoc Networks (VANETs) (2 papers), COVID-19 diagnosis using AI (1 paper) and Online Learning and Analytics (1 paper). The work is most often cited by research in Computer Networks and Communications (345 citations), Media Technology (120 citations), Transportation (84 citations), Aerospace Engineering (208 citations) and Building and Construction (94 citations). Zaib Ullah has collaborated with scholars based in Italy, Pakistan and Cyprus. Frequent co-authors include Leonardo Mostarda, Fadi Al‐Turjman, Roberto Gagliardi, Muddasar Naeem, Antonio Coronato, Patrizia Ribino, Giuseppe De Pietro, Flavio Corradini, Diletta Cacciagrano and Sajid Bashir. Their work appears in journals such as Wireless Personal Communications, Future Internet, Sustainable Cities and Society, Computer Communications 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.

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