Maqbool Hussain

1.4k total citations
71 papers, 950 citations indexed

About

Maqbool Hussain is a scholar working on Artificial Intelligence, Health Information Management and Molecular Biology. According to data from OpenAlex, Maqbool Hussain has authored 71 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 23 papers in Health Information Management and 22 papers in Molecular Biology. Recurrent topics in Maqbool Hussain's work include Biomedical Text Mining and Ontologies (21 papers), Semantic Web and Ontologies (15 papers) and Electronic Health Records Systems (15 papers). Maqbool Hussain is often cited by papers focused on Biomedical Text Mining and Ontologies (21 papers), Semantic Web and Ontologies (15 papers) and Electronic Health Records Systems (15 papers). Maqbool Hussain collaborates with scholars based in South Korea, Pakistan and United States. Maqbool Hussain's co-authors include Muhammad Afzal, Sungyoung Lee, Ahmed El‐Shafei, Wajahat Ali Khan, Liyuan Han, Ashraful Islam, Taqdir Ali, Byeong Ho Kang, Rahman Ali and Muhammad Bilal Amin and has published in prestigious journals such as PLoS ONE, Journal of Materials Chemistry and The Journal of Physical Chemistry C.

In The Last Decade

Maqbool Hussain

68 papers receiving 921 citations

Peers

Maqbool Hussain
Comparison fields: 5 of 135
  • Artificial Intelligence 280
  • Health Information Management 192
  • Renewable Energy, Sustainability and the Environment 175
  • Materials Chemistry 172
  • Molecular Biology 149
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Citations per field, relative to Maqbool Hussain
Maqbool Hussain · 1×
Citations per year, relative to Maqbool Hussain
Maqbool Hussain · 1×

Countries citing papers authored by Maqbool Hussain

Since Specialization
Citations

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

Fields of papers citing papers by Maqbool Hussain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maqbool Hussain

This figure shows the co-authorship network connecting the top 25 collaborators of Maqbool Hussain. A scholar is included among the top collaborators of Maqbool 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 Maqbool Hussain. Maqbool 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
# Work Indexed citations
1 0
2 0
3 2
4 7
5 1
6 3
7 9
8 10
9 19
10 10
11 11
12 33
13 15
14 30
15
System for parallel heterogeneity resolution (SPHeRe) results for OAEI 2013
4
16 43
17
Towards personalized health profiling in social network
6
18 9
19 1
20 6

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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