Mahfooz Alam

1.7k citations
84 papers · 1.2k · h-index 19

Impact in

Papers in

Mahfooz Alam

75 papers receiving 1.1k citations

Peers

Mahfooz Alam
Comparison fields: 5 of 119
  • Computer Networks and Communications 344
  • Information Systems 314
  • Infectious Diseases 196
  • Molecular Medicine 32
  • Plant Science 235
Replace Sabina Rossi with:
Sabina Rossi Italy
Guyue Li China
Chuan Yi Tang Taiwan
Michael Meier Germany
Wei-Ting Liu Taiwan
Jinyang Liu China
García Hernández Colombia
Laurence Yang United States
Hongjun Zheng United States
Bei Wang China
Mahfooz Alam relative to Sabina Rossi Italy Sabina Rossi's profile →
Citations per field
00.5×2×4×6×8×9.0×
Sabina Rossi · 1×
Citations per year

Countries citing papers authored by Mahfooz Alam

Since Specialization
Citations

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

Fields of papers citing papers by Mahfooz Alam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002149
2 2007110
3 200481
4 202371
5 201752
6 201738
7 200428
8 201228
9 201428
10 200326
11 202226
12 202325
13 200323
14 200622
15 201522
16 202421
17 202120
18 201520
19 201218
20 202417

About Mahfooz Alam

Mahfooz Alam is a scholar working on Computer Networks and Communications, Information Systems, Hardware and Architecture, Applied Mathematics and Plant Science, having authored 84 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (27 papers), Distributed and Parallel Computing Systems (24 papers), IoT and Edge/Fog Computing (15 papers), Parallel Computing and Optimization Techniques (10 papers), Software Engineering Research (6 papers), Mathematical functions and polynomials (6 papers), Interconnection Networks and Systems (6 papers) and Software Reliability and Analysis Research (6 papers). The work is most often cited by research in Computer Networks and Communications (344 citations), Information Systems (314 citations), Infectious Diseases (196 citations), Molecular Medicine (32 citations) and Plant Science (235 citations). Mahfooz Alam has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Suhel Mustajab, Mohammad Shahid, M. Naeem, M. Masroor A. Khan, Asad Ahmad, Barket Ali, Shamsul Hayat, Niyaz Ahmed, Moin Uddin and Seyed E. Hasnain. Their work appears in journals such as Transactions of the American Mathematical Society, Journal of Clinical Microbiology, IEEE Access, Indian Journal of Science and Technology and PLoS ONE.

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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