Mohammad Aman Ullah

1.0k citations
41 papers · 550 · h-index 11

Impact in

Papers in

Mohammad Aman Ullah

32 papers receiving 524 citations

Peers

Mohammad Aman Ullah
Comparison fields: 5 of 119
  • Biochemistry 79
  • Applied Microbiology and Biotechnology 11
  • Toxicology 16
  • Artificial Intelligence 123
  • Nutrition and Dietetics 58
Replace Shweta Kaushik with:
Shweta Kaushik India
Varun Jaiswal India
Rokeya Akter Bangladesh
Pei‐Fen Wu Taiwan
Asma Irshad Pakistan
M. Hanumanthappa India
Jamal Raiyn Israel
Ismail A. Elhaty Türkiye
Qi Xie China
Mohammad Aman Ullah relative to Shweta Kaushik India Shweta Kaushik's profile →
Citations per field
00.5×3.7×
Shweta Kaushik · 1×
Citations per year

Countries citing papers authored by Mohammad Aman Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Aman Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Aman Ullah. 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 Mohammad Aman Ullah. The network helps show where Mohammad Aman Ullah may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007208
2 202067
3 202239
4 202137
5 202133
6 201619
7 201618
8 202116
9 202213
10 201213
11 201911
12 202310
13 202110
14 20179
15 20128
16 20227
17 20215
18 20215
19 20184
20 20213

About Mohammad Aman Ullah

Mohammad Aman Ullah is a scholar working on Artificial Intelligence, Public Health, Environmental and Occupational Health, Nutrition and Dietetics, General Health Professions and Cardiology and Cardiovascular Medicine, having authored 41 papers that have together received 550 indexed citations. Recurring topics across this work include Child Nutrition and Water Access (8 papers), Sentiment Analysis and Opinion Mining (5 papers), Obesity, Physical Activity, Diet (5 papers), Advanced Text Analysis Techniques (5 papers), Food Security and Health in Diverse Populations (4 papers), Global Public Health Policies and Epidemiology (4 papers), Nutritional Studies and Diet (4 papers) and Stock Market Forecasting Methods (3 papers). The work is most often cited by research in Biochemistry (79 citations), Applied Microbiology and Biotechnology (11 citations), Toxicology (16 citations), Artificial Intelligence (123 citations) and Nutrition and Dietetics (58 citations). Mohammad Aman Ullah has collaborated with scholars based in Bangladesh, India and United States. Frequent co-authors include Uzma Shamim, S.M. Hadi, Asfar S. Azmi, Harish S. Bhat, Sana Hanif, Shamim Ara Begum, Mehedi Hasan, Malay Kanti Mridha, Abu Ahmed Shamim and Md Mokbul Hossain. Their work appears in journals such as Current Developments in Nutrition, BMJ Open, Computational Intelligence and Neuroscience, Data in Brief and International Journal of Molecular Sciences.

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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