Abir Hussain

2.1k citations
47 papers · 1.3k indexed · 1 hit paper · h-index 14
Topics
Artificial Intelligence in Healthcare (6 papers)Online Learning and Analytics (4 papers)Imbalanced Data Classification Techniques (4 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEMonthly Notices of the Royal Astronomical Society

In The Last Decade

Abir Hussain

45 papers receiving 1.2k citations

Hit Papers

A Systematic Review on Supervised and Unsupervised Machin...20192026202120232019100200300400

Peers

Abir Hussain
Comparison fields: 5 of 170
  • Artificial Intelligence 351
  • Health Information Management 181
  • Computer Networks and Communications 149
  • Computer Science Applications 142
  • Pediatrics, Perinatology and Child Health 116
Replace Shang‐Ming Zhou with:
Shang‐Ming Zhou United Kingdom
Sabah Mohammed Canada
José Machado Portugal
Frank Puppe Germany
Mark Hoogendoorn Netherlands
Lalit Garg Malta
Arif Khan Australia
Pedro Pereira Rodrigues Portugal
Malak Abdullah Jordan
Nida Aslam Saudi Arabia
Abir Hussain relative to Shang‐Ming Zhou United Kingdom Shang‐Ming Zhou's profile →
Citations per field
00.5×10×14.2×
Shang‐Ming Zhou · 1×
Citations per year

Countries citing papers authored by Abir Hussain

Since Specialization
Citations

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

Fields of papers citing papers by Abir Hussain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abir Hussain

This figure shows the co-authorship network connecting the top 25 collaborators of Abir Hussain. A scholar is included among the top collaborators of Abir Hussain 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 Abir Hussain. Abir Hussain 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 2
3 44
4 32
5 8
6
A Systematic Review on Supervised and Unsupervised Machine Learning Algorithms for Data Sciencebreakdown →
406
7 8
8 58
9 45
10 19
11 6
12 18
13 10
14 57
15 2
16 3
17 11
18 1
19 1
20 113

About Abir Hussain

Abir Hussain is a scholar working on Health Information Management, Computer Science Applications and Space and Planetary Science, having authored 47 papers that have together received 1.3k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (6 papers), Online Learning and Analytics (4 papers) and Imbalanced Data Classification Techniques (4 papers). The work is most often cited by research in Health Information Management (181 citations), Health Informatics (46 citations) and Computer Science Applications (142 citations). Abir Hussain has collaborated with scholars based in United Kingdom, United Arab Emirates and Iraq. Frequent co-authors include Dhiya Al‐Jumeily, Mohamed Alloghani, Jamila Mustafina, Ahmed J. Aljaaf, Thar Baker, Paul Fergus, Panos Liatsis, Raghad Al-Shabandar, Robert Keight and Haya Alaskar. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Monthly Notices of the Royal Astronomical Society.

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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