Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Survey on UAV Cellular Communications: Practical Aspects, Standardization Advancements, Regulation, and Security Challenges
2019758 citationsAzade Fotouhi, Ming Ding et al.profile →
A Survey of Wearable Devices and Challenges
2017515 citationsGuohao Lan, Sara Khalifa et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Mahbub Hassan'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 Mahbub Hassan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahbub Hassan more than expected).
This network shows the impact of papers produced by Mahbub Hassan. 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 Mahbub Hassan. The network helps show where Mahbub Hassan may publish in the future.
Co-authorship network of co-authors of Mahbub Hassan
This figure shows the co-authorship network connecting the top 25 collaborators of Mahbub Hassan.
A scholar is included among the top collaborators of Mahbub Hassan 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 Mahbub Hassan. Mahbub Hassan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ma, Dong, Guohao Lan, Mahbub Hassan, et al.. (2022). Recognizing Hand Gestures Using Solar Cells. IEEE Transactions on Mobile Computing. 22(7). 4223–4235.9 indexed citations
Lan, Guohao, Sara Khalifa, Mahbub Hassan, & Wen Hu. (2015). Estimating Calorie Expenditure from Output Voltage of Piezoelectric Energy Harvester - an Experimental Feasibility Study. EAI Endorsed Transactions on Pervasive Health and Technology. 2(7).1 indexed citations
13.
Adesina, Adesoji A., et al.. (2013). Nano sensor networks for tailored operation of highly efficient gas-to-liquid fuels catalysts. 91.7 indexed citations
14.
Yao, Jun, Salil S. Kanhere, & Mahbub Hassan. (2009). Geo-intelligent traffic scheduling for multi-homed on-board networks.18 indexed citations
15.
Hassan, Mahbub, et al.. (2006). Variable packet size of IP packets for VoIP transmission. 136–141.6 indexed citations
16.
Wu, Jim S., Mahbub Hassan, & Harsha Sirisena. (2004). Avoiding useless multimedia packet transmission over DiffServ networks with multiple bottlenecks. International Conference on Communications.1 indexed citations
17.
Hassan, Mahbub & Raj Jain. (2004). High performance TCP/IP networking : concepts, issues, and solutions.59 indexed citations
18.
Hassan, Mahbub, et al.. (2001). GPS-based infrastructure for Internet performance measurement. International Conference on Telecommunications. 378–383.
19.
Wu, Jim S. & Mahbub Hassan. (2000). On Fairness of ATM UBR Service in Carrying Heterogeneous Internet Traffic. International Conference on Telecommunications.1 indexed citations
20.
Leroux, Hugo, et al.. (1999). Are Inter-arrival Times of Internet Traffic also Self-Similar. International Conference on Telecommunications.1 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.