Md. Abdul Hamid

1.5k total citations
64 papers, 822 citations indexed

About

Md. Abdul Hamid is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Md. Abdul Hamid has authored 64 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 15 papers in Artificial Intelligence and 11 papers in Information Systems. Recurrent topics in Md. Abdul Hamid's work include Mobile Ad Hoc Networks (10 papers), Energy Efficient Wireless Sensor Networks (7 papers) and Security in Wireless Sensor Networks (6 papers). Md. Abdul Hamid is often cited by papers focused on Mobile Ad Hoc Networks (10 papers), Energy Efficient Wireless Sensor Networks (7 papers) and Security in Wireless Sensor Networks (6 papers). Md. Abdul Hamid collaborates with scholars based in Bangladesh, Saudi Arabia and South Korea. Md. Abdul Hamid's co-authors include Muhammad Mostafa Monowar, M. F. Mridha, Abu Quwsar Ohi, Ashfia Jannat Keya, Md. Saifur Rahman, Atif Alamri, M. Abdullah‐Al‐Wadud, Faris Kateb, Mohammad Abu Yousuf and Mohammad Mehedi Hassan and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Md. Abdul Hamid

60 papers receiving 782 citations

Peers

Md. Abdul Hamid

CNC

SPS

CVPR

Muhammad Mostafa Monowar Saudi Arabia

Olusola Abayomi‐Alli Nigeria

J. Andrew India

Shishir Kumar India

Shailendra Narayan Singh India

Sunday Adeola Ajagbe Nigeria

Muhammet Baykara Türkiye

Deepa Gupta India

Hend Khalid Alkahtani Saudi Arabia

Ryan Alturki Saudi Arabia

Muhammad Mostafa Monowar Saudi Arabia

Md. Abdul Hamid

297 ×1.0

318 ×1.8

CNC

182 ×1.1

121 ×0.9

SPS

170 ×1.8

CVPR

Citations per year, relative to Md. Abdul Hamid Md. Abdul Hamid (= 1×) peers Muhammad Mostafa Monowar

Countries citing papers authored by Md. Abdul Hamid

Since Specialization

Citations

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

Fields of papers citing papers by Md. Abdul Hamid

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Md. Abdul Hamid

This figure shows the co-authorship network connecting the top 25 collaborators of Md. Abdul Hamid. A scholar is included among the top collaborators of Md. Abdul Hamid 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. Abdul Hamid. Md. Abdul Hamid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Yousuf, Mohammad Abu, et al.. (2025). DDNet: A Robust, and Reliable Hybrid Machine Learning Model for Effective Detection of Depression Among University Students. IEEE Access. 13. 49334–49353. 2 indexed citations

Faruqui, Nuruzzaman, Mohammad Abu Yousuf, Faris Kateb, Md. Abdul Hamid, & Muhammad Mostafa Monowar. (2023). Healthcare As a Service (HAAS): CNN-based cloud computing model for ubiquitous access to lung cancer diagnosis. Heliyon. 9(11). e21520–e21520. 34 indexed citations

Hamid, Md. Abdul, et al.. (2022). Geometric Design and Outcome of Transposition Flaps for Scalp Reconstruction. 7(2). 52–57.

Mridha, M. F., Md. Rashedul Islam, Aklima Akter Lima, et al.. (2022). A Comprehensive Survey on the Progress, Process, and Challenges of Lung Cancer Detection and Classification. Journal of Healthcare Engineering. 2022. 1–43. 19 indexed citations

Monowar, Muhammad Mostafa, Md. Abdul Hamid, Abu Quwsar Ohi, Madini O. Alassafi, & M. F. Mridha. (2022). AutoRet: A Self-Supervised Spatial Recurrent Network for Content-Based Image Retrieval. Sensors. 22(6). 2188–2188. 22 indexed citations

Monowar, Muhammad Mostafa, Md. Abdul Hamid, Faris Kateb, Abu Quwsar Ohi, & M. F. Mridha. (2022). Self-Supervised Clustering for Leaf Disease Identification. Agriculture. 12(6). 814–814. 18 indexed citations

Kabir, Md. Mohsin, et al.. (2022). Self-Writer: Clusterable Embedding Based Self-Supervised Writer Recognition from Unlabeled Data. Mathematics. 10(24). 4796–4796. 2 indexed citations

Ohi, Abu Quwsar, M. F. Mridha, Md. Abdul Hamid, Muhammad Mostafa Monowar, & Faris Kateb. (2021). FabricNet: A Fiber Recognition Architecture Using Ensemble ConvNets. IEEE Access. 9. 13224–13236. 15 indexed citations

Ohi, Abu Quwsar, M. F. Mridha, Muhammad Mostafa Monowar, & Md. Abdul Hamid. (2020). Exploring optimal control of epidemic spread using reinforcement learning. Scientific Reports. 10(1). 22106–22106. 24 indexed citations

10.

Ohi, Abu Quwsar, et al.. (2020). AutoEmbedder: A semi-supervised DNN embedding system for clustering. Knowledge-Based Systems. 204. 106190–106190. 36 indexed citations

11.

Hamid, Md. Abdul, et al.. (2020). Performance Analysis of Hierarchical and Non Hierarchical Clustering Techniques. 9(2). 54–71. 1 indexed citations

12.

Asaduzzaman, Mohammad, et al.. (2017). Problems and prospects of turkey (Meleagris gallopavo) production in Bangladesh. Research in Agriculture Livestock and Fisheries. 4(2). 77–90. 12 indexed citations

13.

Kamal, Abu Raihan Mostofa, et al.. (2016). A scalable framework for protecting user identity and access pattern in untrusted Web server using forward secrecy, public key encryption and bloom filter. Concurrency and Computation Practice and Experience. 29(23). 2 indexed citations

14.

Billah, Md Masum, et al.. (2016). Study on effect of different levels of concentrate on growth performance of both male and female lamb. Asian Journal of Medical and Biological Research. 2(2). 274–278. 1 indexed citations

15.

Hassan, Mohammad Mehedi, M. Abdullah‐Al‐Wadud, Ahmad Almogren, et al.. (2015). QoS and trust‐aware coalition formation game in data‐intensive cloud federations. Concurrency and Computation Practice and Experience. 28(10). 2889–2905. 21 indexed citations

16.

Monowar, Muhammad Mostafa, Mohammad Mehedi Hassan, Fuad Bajaber, Md. Abdul Hamid, & Atif Alamri. (2014). Thermal-Aware Multiconstrained Intrabody QoS Routing for Wireless Body Area Networks. International Journal of Distributed Sensor Networks. 10(3). 676312–676312. 49 indexed citations

17.

Kamal, Abu Raihan Mostofa & Md. Abdul Hamid. (2013). Reliable data approximation in wireless sensor network. Ad Hoc Networks. 11(8). 2470–2483. 7 indexed citations

18.

Hamid, Md. Abdul, M. Abdullah‐Al‐Wadud, & Ilyoung Chong. (2010). A Schedule-based Multi-channel MAC Protocol for Wireless Sensor Networks. Sensors. 10(10). 9466–9480. 10 indexed citations

19.

Hamid, Md. Abdul, et al.. (2008). Characteristic Features of Corporate Advertisements of Bangladeshi Print Media: A Contemporary Analysis. SSRN Electronic Journal. 1 indexed citations

20.

Saha, Soumen, S. D. Chowdhury, & Md. Abdul Hamid. (1992). A study on the incubation of indigenous (Desi), Khaki Campbell and crossbred (Indian Runner x Khaki Campbell, F1) duck eggs under two pre-incubation holding periods. Asian-Australasian Journal of Animal Sciences. 5(3). 541–544. 3 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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