Md. Nahiduzzaman

54 total papers · 1.8k total citations
45 papers, 1.0k citations indexed

About

Md. Nahiduzzaman is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Md. Nahiduzzaman has authored 45 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Artificial Intelligence and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Md. Nahiduzzaman's work include COVID-19 diagnosis using AI (14 papers), Digital Imaging for Blood Diseases (11 papers) and Machine Learning and ELM (8 papers). Md. Nahiduzzaman is often cited by papers focused on COVID-19 diagnosis using AI (14 papers), Digital Imaging for Blood Diseases (11 papers) and Machine Learning and ELM (8 papers). Md. Nahiduzzaman collaborates with scholars based in Bangladesh, Qatar and United Kingdom. Md. Nahiduzzaman's co-authors include Md. Robiul Islam, Julfikar Haider, Mominul Ahsan, Md. Omaer Faruq Goni, Md. Shamim Anower, Amith Khandakar, Md. Faysal Ahamed, Marcin Kowalski, Mohamed Arselene Ayari and S. M. Riazul Islam and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Md. Nahiduzzaman

40 papers receiving 962 citations

Hit Papers

Applying supervised contr... 2022 2026 2023 2024 2022 2023 2025 25 50 75

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Md. Nahiduzzaman 453 317 270 181 135 45 1.0k
Anas Bilal 480 1.1× 295 0.9× 307 1.1× 227 1.3× 130 1.0× 65 1.0k
Law Kumar Singh 442 1.0× 299 0.9× 287 1.1× 100 0.6× 80 0.6× 45 902
R. Murugan 478 1.1× 353 1.1× 283 1.0× 106 0.6× 225 1.7× 80 972
Shivajirao M. Jadhav 382 0.8× 473 1.5× 236 0.9× 154 0.9× 117 0.9× 25 1.2k
S. Tamil Selvi 212 0.5× 346 1.1× 218 0.8× 36 0.2× 57 0.4× 47 969
Edward Rajan Samuel Nadar 335 0.7× 296 0.9× 246 0.9× 58 0.3× 69 0.5× 72 1.1k
Shamik Tiwari 187 0.4× 274 0.9× 311 1.2× 70 0.4× 170 1.3× 74 948
Imran Qureshi 447 1.0× 156 0.5× 439 1.6× 102 0.6× 86 0.6× 40 1.1k
Salman Qadri 173 0.4× 190 0.6× 179 0.7× 40 0.2× 113 0.8× 45 823
Ali Mohammad Alqudah 410 0.9× 414 1.3× 235 0.9× 44 0.2× 50 0.4× 64 1.2k

Countries citing papers authored by Md. Nahiduzzaman

Since Specialization
Citations

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

Fields of papers citing papers by Md. Nahiduzzaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Md. Nahiduzzaman

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

All Works

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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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