Muhammad Asaduzzaman

97 papers receiving 1.6k citations

Peers

Muhammad Asaduzzaman
Comparison fields: 5 of 141
  • Applied Microbiology and Biotechnology 95
  • Endocrinology 244
  • Software 178
  • Molecular Medicine 169
  • Computer Science Applications 155
Replace Neeraj Goel with:
Neeraj Goel India
Rajesh Bhatia India
Roy D. Sleator Ireland
Anette Hulth Sweden
Muhammad Salman Pakistan
Brigitte Denis Belgium
Anália Lourenço Portugal
Elaine Cheong Australia
Andrew E. Waters United States
Jiří Schindler United States
Muhammad Asaduzzaman relative to Neeraj Goel India Neeraj Goel's profile →
Citations per field
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Citations per year

Countries citing papers authored by Muhammad Asaduzzaman

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Asaduzzaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013144
2 2003110
3 2020103
4 201684
5 201857
6 201855
7 200049
8 202249
9 201044
10 201143
11 201140
12 201939
13 201436
14 201935
15 201235
16 201335
17 201534
18 200434
19 201828
20 202228

About Muhammad Asaduzzaman

Muhammad Asaduzzaman is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Applied Microbiology and Biotechnology and Endocrinology, having authored 105 papers that have together received 1.6k indexed citations. Recurring topics across this work include Software Engineering Research (23 papers), Antibiotic Use and Resistance (12 papers), Software System Performance and Reliability (11 papers), Web Data Mining and Analysis (8 papers), Pharmaceutical and Antibiotic Environmental Impacts (7 papers), Vibrio bacteria research studies (6 papers), Antibiotic Resistance in Bacteria (6 papers) and Topic Modeling (6 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (95 citations), Endocrinology (244 citations), Software (178 citations), Molecular Medicine (169 citations) and Computer Science Applications (155 citations). Muhammad Asaduzzaman has collaborated with scholars based in Bangladesh, Norway and United States. Frequent co-authors include Chanchal K. Roy, Kevin A. Schneider, Mohammad Aminul Islam, Emily K. Rousham, Leanne Unicomb, Minhaz F. Zibran, Ripon K. Saha, Mahbubur Rahman, Marufa Sultana and Supta Sarker. Their work appears in journals such as Frontiers in Public Health, International Journal of Environmental Research and Public Health, Frontiers in Microbiology, Infection and Immunity and The Lancet Planetary Health.

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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