Md. Saiful Islam

4.5k total citations
97 papers, 2.4k citations indexed

About

Md. Saiful Islam is a scholar working on Clinical Psychology, Economics and Econometrics and Sociology and Political Science. According to data from OpenAlex, Md. Saiful Islam has authored 97 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Clinical Psychology, 16 papers in Economics and Econometrics and 12 papers in Sociology and Political Science. Recurrent topics in Md. Saiful Islam's work include COVID-19 and Mental Health (34 papers), COVID-19 Pandemic Impacts (16 papers) and Impact of Technology on Adolescents (10 papers). Md. Saiful Islam is often cited by papers focused on COVID-19 and Mental Health (34 papers), COVID-19 Pandemic Impacts (16 papers) and Impact of Technology on Adolescents (10 papers). Md. Saiful Islam collaborates with scholars based in Bangladesh, United States and United Kingdom. Md. Saiful Islam's co-authors include Md. Tajuddin Sikder, Most. Zannatul Ferdous, Marc N. Potenza, Md. Safaet Hossain Sujan, Rafia Tasnim, Abu Syed Md. Mosaddek, David Gozal, Md. Estiar Rahman, Mark D. Griffiths and Mst. Sabrina Moonajilin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Md. Saiful Islam

89 papers receiving 2.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Md. Saiful Islam Bangladesh 23 1.4k 505 407 344 332 97 2.4k
Claire Stansfield United Kingdom 21 1.3k 0.9× 238 0.5× 411 1.0× 375 1.1× 182 0.5× 69 3.3k
Md Mahbub Hossain United States 29 1.9k 1.3× 342 0.7× 615 1.5× 198 0.6× 376 1.1× 100 3.7k
Kin‐Kit Li Hong Kong 23 801 0.6× 279 0.6× 438 1.1× 260 0.8× 725 2.2× 50 2.4k
Irfan Ullah Pakistan 25 815 0.6× 274 0.5× 386 0.9× 250 0.7× 459 1.4× 240 2.5k
Bao‐Liang Zhong China 18 1.9k 1.4× 713 1.4× 490 1.2× 847 2.5× 496 1.5× 32 3.2k
Antón P. Martínez United Kingdom 17 1.1k 0.8× 343 0.7× 626 1.5× 288 0.8× 1.1k 3.3× 37 2.4k
Giang Thu Vu Vietnam 28 644 0.5× 287 0.6× 304 0.7× 184 0.5× 228 0.7× 131 2.5k
Mahua Jana Dubey India 9 1.3k 0.9× 297 0.6× 261 0.6× 130 0.4× 140 0.4× 19 2.1k
Junming Dai China 16 1.8k 1.3× 427 0.8× 801 2.0× 177 0.5× 371 1.1× 44 2.9k
Yingnan Jia China 16 1.8k 1.3× 423 0.8× 806 2.0× 176 0.5× 405 1.2× 37 2.9k

Countries citing papers authored by Md. Saiful Islam

Since Specialization
Citations

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

Fields of papers citing papers by Md. Saiful Islam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Md. Saiful Islam

This figure shows the co-authorship network connecting the top 25 collaborators of Md. Saiful Islam. A scholar is included among the top collaborators of Md. Saiful Islam 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. Saiful Islam. Md. Saiful Islam 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
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Siddique, Abu Bakkar, et al.. (2024). Assessment of prevalence and factors associated with perceived lower back pain among the bicycle rickshaw pullers in Dhaka. Archives of Environmental & Occupational Health. 79(9-10). 273–281. 1 indexed citations
5.
Moonajilin, Mst. Sabrina, Rajon Banik, Md. Saiful Islam, et al.. (2024). Understanding the Public's Viewpoint on Organ Donation Among Adults in Bangladesh: An Exploratory Cross‐Sectional Study. Health Science Reports. 7(12). e70254–e70254.
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Hossain, Md. Alamgir & Md. Saiful Islam. (2024). Enhanced detection of obfuscated malware in memory dumps: a machine learning approach for advanced cybersecurity. Cybersecurity. 7(1). 15 indexed citations
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Sayeed, Abu, Md. Saiful Islam, Enryka Christopher, et al.. (2023). Investigating problematic uses of Facebook and other Internet activities among university students in Bangladesh during the COVID-19 pandemic. Scientific Reports. 13(1). 1307–1307. 8 indexed citations
9.
Haq, Md. Ahsanul, Dilshad Jahan, Rahnuma Ahmad, et al.. (2022). The Effect of Socio-Demographic Factors in Health-Seeking Behaviors among Bangladeshi Residents during the First Wave of COVID-19. Healthcare. 10(3). 483–483. 15 indexed citations
10.
Tahir, Muhammad Junaid, et al.. (2022). Effects of SARS‐CoV‐2 infection and COVID‐19 pandemic on menstrual health of women: A systematic review. Health Science Reports. 5(6). e881–e881. 17 indexed citations
11.
Hossain, Md. Sharif, Md. Saiful Islam, Shahina Pardhan, et al.. (2022). Beliefs, barriers and hesitancy towards the COVID-19 vaccine among Bangladeshi residents: Findings from a cross-sectional study. PLoS ONE. 17(8). e0269944–e0269944. 10 indexed citations
12.
Rafi, Md. Abdur, Md. Saiful Islam, M. Tasdik Hasan, & Golam Hossain. (2022). Prevalence and impact of migraine among university students in Bangladesh: findings from a cross-sectional survey. BMC Neurology. 22(1). 68–68. 20 indexed citations
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Islam, Md. Saiful, et al.. (2022). Psychometric properties of three online-related addictive behavior instruments among Bangladeshi school-going adolescents. PLoS ONE. 17(12). e0279062–e0279062. 18 indexed citations
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Ullah, Irfan, Md. Saiful Islam, Sajjad Ali, et al.. (2021). Insufficient Physical Activity and Sedentary Behaviors among Medical Students during the COVID-19 Lockdown: Findings from a Cross-Sectional Study in Pakistan. International Journal of Environmental Research and Public Health. 18(19). 10257–10257. 16 indexed citations
15.
Banik, Rajon, Md. Saiful Islam, Mahmudur Rahman, et al.. (2021). Understanding the determinants of COVID-19 vaccination intention and willingness to pay: findings from a population-based survey in Bangladesh. BMC Infectious Diseases. 21(1). 892–892. 29 indexed citations
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Bari, Md. Sazzadul, Md. Jamal Hossain, Foyez Ahmmed, et al.. (2021). Knowledge, Perception, and Willingness towards Immunization among Bangladeshi Population during COVID-19 Vaccine Rolling Period. Vaccines. 9(12). 1449–1449. 32 indexed citations
17.
Tasnim, Rafia, Md. Safaet Hossain Sujan, Md. Saiful Islam, et al.. (2021). Prevalence and correlates of anxiety and depression in frontline healthcare workers treating people with COVID-19 in Bangladesh. BMC Psychiatry. 21(1). 271–271. 63 indexed citations
18.
Islam, Md. Saiful, et al.. (2021). Psychological states of Bangladeshi people and associated factors during the outbreak of COVID-19: A cross-sectional survey. SHILAP Revista de lepidopterología. 1. 100012–100012. 8 indexed citations
19.
Islam, Md. Saiful, Md. Estiar Rahman, Rajon Banik, et al.. (2020). Knowledge, attitudes and practices associated with the COVID-19 among slum dwellers resided in Dhaka City: a Bangladeshi interview-based survey. Journal of Public Health. 43(1). 13–25. 62 indexed citations
20.
Clark, Luke, et al.. (2003). Validation of a novel measure of reflection-impulsivity for use in adult patient populations. UCL Discovery (University College London). 7 indexed citations

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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