Imran Mahmud

98 papers receiving 1.5k citations

Peers

Imran Mahmud
Comparison fields: 5 of 150
  • Information Systems and Management 395
  • Developmental Neuroscience 69
  • Management Information Systems 160
  • Business and International Management 35
  • Marketing 115
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Robert D. Austin United States
Jieun Yu South Korea
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Citations per year

Countries citing papers authored by Imran Mahmud

Since Specialization
Citations

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

Fields of papers citing papers by Imran Mahmud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017165
2 2016137
3 2009115
4 2017113
5 201572
6 202060
7 201648
8 202044
9 202240
10 202437
11 202034
12 201931
13 202330
14 202230
15 201329
16 201129
17 202228
18
An Analysis On Breast Disease Prediction Using Machine Learning Approaches
202026
19 201222
20
Application Of K-Means Clustering Algorithm To Determine The Density Of Demand Of Different Kinds Of Jobs
202021

About Imran Mahmud

Imran Mahmud is a scholar working on Artificial Intelligence, Information Systems and Management, Sociology and Political Science, Information Systems and Management Information Systems, having authored 112 papers that have together received 1.6k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (20 papers), Digital Marketing and Social Media (8 papers), Artificial Intelligence in Healthcare (8 papers), Cyberloafing and Workplace Behavior (6 papers), Sentiment Analysis and Opinion Mining (6 papers), Impact of Technology on Adolescents (5 papers), Islamic Finance and Banking Studies (4 papers) and ERP Systems Implementation and Impact (4 papers). The work is most often cited by research in Information Systems and Management (395 citations), Developmental Neuroscience (69 citations), Management Information Systems (160 citations), Business and International Management (35 citations) and Marketing (115 citations). Imran Mahmud has collaborated with scholars based in Bangladesh, Malaysia and Australia. Frequent co-authors include T. Ramayah, Ahmed Ibrahim Alzahrani, Osama Alfarraj, Nasser Alalwan, Sherah Kurnia, F. M. Javed Mehedi Shamrat, Zoltán Molnár, Chris Englund, Robert F. Hevner and Brenda Scholtz. Their work appears in journals such as Data in Brief, PLoS ONE, Business Process Management Journal, Sustainability and IEEE Access.

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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