Leila Ismail

2.9k citations
90 papers · 1.7k indexed · 1 hit paper · h-index 21

Leila Ismail

83 papers receiving 1.6k citations

Hit Papers

Association of risk factors with type 2 diabetes: A syste...159202120262022202450100150

Peers

Leila Ismail
Comparison fields: 5 of 143
  • Health Informatics 91
  • Information Systems 791
  • Health Information Management 158
  • Computer Networks and Communications 739
  • Artificial Intelligence 331
Replace Huned Materwala with:
Huned Materwala United Arab Emirates
Hafiz Farooq Ahmad Pakistan
Carlo Combi Italy
Michael Schumacher Switzerland
Antonio Coronato Italy
Farshad Firouzi United States
Mohd Khanapi Abd Ghani Malaysia
Anichur Rahman Bangladesh
Bahar Farahani Iran
Hossain Shahriar United States
Leila Ismail relative to Huned Materwala United Arab Emirates Huned Materwala's profile →
Citations per field
00.5×2.9×
Huned Materwala · 1×
Citations per year

Countries citing papers authored by Leila Ismail

Since Specialization
Citations

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

Fields of papers citing papers by Leila Ismail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20245
5 20236
6 20237
7 20225
8 202274
9 202138
10 202112
11 202139
12 20212
13 202033
14 202061
15 202037
16 2019165
17 2019145
18 201834
19 20122
20 200818

About Leila Ismail

Leila Ismail is a scholar working on Computational Mathematics, Health Information Management and Computer Networks and Communications, having authored 90 papers that have together received 1.7k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (27 papers), Blockchain Technology Applications and Security (22 papers), Cloud Computing and Resource Management (17 papers), Distributed and Parallel Computing Systems (14 papers), Artificial Intelligence in Healthcare (10 papers), Mobile Agent-Based Network Management (9 papers), Peer-to-Peer Network Technologies (6 papers) and Network Security and Intrusion Detection (6 papers). The work is most often cited by research in Health Informatics (91 citations), Information Systems (791 citations) and Health Information Management (158 citations). Leila Ismail has collaborated with scholars based in United Arab Emirates, Australia and United Kingdom. Frequent co-authors include Huned Materwala, Sherali Zeadally, Juma Al Kaabi, Daniel Hagimont, Rajkumar Buyya, Achim P. Karduck, Fida K. Dankar, Maryam Tayefi, Abdu Adem and Abbas A. Fardoun. Their work appears in journals such as Scientific Reports, IEEE Access 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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