Md. Mamun Ali

840 citations
24 papers · 439 indexed · 1 hit paper · h-index 8
Topics
Machine Learning in Bioinformatics (7 papers)Artificial Intelligence in Healthcare (6 papers)Cervical Cancer and HPV Research (3 papers)
Journals
SHILAP Revista de lepidopterologíaAnalytical BiochemistryScientific Reports

In The Last Decade

Md. Mamun Ali

20 papers receiving 417 citations

Hit Papers

Heart disease prediction using supervised machine learnin...2021202620222024202150100150200250

Peers

Md. Mamun Ali
Comparison fields: 5 of 90
  • Health Information Management 237
  • Artificial Intelligence 185
  • Radiology, Nuclear Medicine and Imaging 78
  • Cardiology and Cardiovascular Medicine 56
  • Epidemiology 42
Replace Ashok Kumar Dwivedi with:
Ashok Kumar Dwivedi India
Eva Ignatious Australia
Yar Muhammad Pakistan
Devansh Shah India
C. Beulah Christalin Latha India
Anna Karen Gárate-Escamilla France
Álvaro Sobrinho Brazil
Behdad Bahadorian Iran
Shahid Mohammad Ganie India
Nada Ahmed Saudi Arabia
Md. Mamun Ali relative to Ashok Kumar Dwivedi India Ashok Kumar Dwivedi's profile →
Citations per field
00.5×8.4×
Ashok Kumar Dwivedi · 1×
Citations per year

Countries citing papers authored by Md. Mamun Ali

Since Specialization
Citations

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

Fields of papers citing papers by Md. Mamun Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Md. Mamun Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Md. Mamun Ali. A scholar is included among the top collaborators of Md. Mamun Ali 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 Md. Mamun Ali. Md. Mamun Ali 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 0
2 0
3 1
4 1
5 0
6 4
7 4
8 2
9 2
10 7
11 33
12 3
13 5
14 1
15 12
16 4
17 9
18 61
19
Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparisonbreakdown →
264
20 2

About Md. Mamun Ali

Md. Mamun Ali is a scholar working on Health Information Management, Microbiology and Periodontics, having authored 24 papers that have together received 439 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (7 papers), Artificial Intelligence in Healthcare (6 papers) and Cervical Cancer and HPV Research (3 papers). The work is most often cited by research in Health Information Management (237 citations), Medical Laboratory Technology (23 citations) and Health Informatics (16 citations). Md. Mamun Ali has collaborated with scholars based in Bangladesh, Canada and Australia. Frequent co-authors include Francis M. Bui, Kawsar Ahmed, Mohammad Ali Moni, Julian M.W. Quinn, Bikash Kumar Paul, Sobhy M. Ibrahim, Sami Azam, Fahad Ahmed Al-Zahrani, Md Abdur Rahaman and Li Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, Analytical Biochemistry and Scientific Reports.

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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