Ikram Ali

2.1k citations
58 papers · 1.5k · h-index 19

Impact in

Papers in

Ikram Ali

56 papers receiving 1.5k citations

Peers

Ikram Ali
Comparison fields: 5 of 106
  • Computer Networks and Communications 670
  • Information Systems 500
  • Health Informatics 22
  • Artificial Intelligence 518
  • Electrical and Electronic Engineering 704
Replace Mayank Agarwal with:
Mayank Agarwal India
Husanbir Singh Pannu India
Fariza Sabrina Australia
Sadi Alawadi Sweden
Emmanuel Gbenga Dada Nigeria
Junfei Qiu China
Konstantinos Demertzis Greece
K. R. Venugopal India
Maruthi Rohit Ayyagari United States
Ikram Ali relative to Mayank Agarwal India Mayank Agarwal's profile →
Citations per field
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Mayank Agarwal · 1×
Citations per year

Countries citing papers authored by Ikram Ali

Since Specialization
Citations

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

Fields of papers citing papers by Ikram Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019175
2 2021114
3 2020112
4 2019110
5 201996
6 201996
7
Impact of climate change on agriculture: empirical evidence from arid region.
201179
8 202071
9 202152
10 202049
11 202148
12 201534
13 202234
14 202232
15 201531
16 202030
17 202126
18 202220
19 202320
20 202318

About Ikram Ali

Ikram Ali is a scholar working on Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Sociology and Political Science and Information Systems, having authored 58 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cryptography and Data Security (20 papers), Advanced Authentication Protocols Security (17 papers), Vehicular Ad Hoc Networks (VANETs) (15 papers), Privacy-Preserving Technologies in Data (10 papers), Income, Poverty, and Inequality (8 papers), Traffic control and management (7 papers), User Authentication and Security Systems (6 papers) and Poverty, Education, and Child Welfare (5 papers). The work is most often cited by research in Computer Networks and Communications (670 citations), Information Systems (500 citations), Health Informatics (22 citations), Artificial Intelligence (518 citations) and Electrical and Electronic Engineering (704 citations). Ikram Ali has collaborated with scholars based in China, Pakistan and Ghana. Frequent co-authors include Fagen Li, Yong Chen, Alzubair Hassan, Niamat Ullah, He Wen, Emmanuel Ahene, Rajesh Kumar, Abdul Saboor, Atta Ullah Khan and Abdul Saboor. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Journal of Systems Architecture, IEEE Transactions on Vehicular Technology, IEEE Internet of Things Journal and IEEE Transactions on Intelligent Vehicles.

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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