Md. Saiful Islam

1.2k total citations · 1 hit paper
72 papers, 700 citations indexed

About

Md. Saiful Islam is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, Md. Saiful Islam has authored 72 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 16 papers in Neurology. Recurrent topics in Md. Saiful Islam's work include Brain Tumor Detection and Classification (16 papers), Advanced Neural Network Applications (12 papers) and Machine Learning and ELM (10 papers). Md. Saiful Islam is often cited by papers focused on Brain Tumor Detection and Classification (16 papers), Advanced Neural Network Applications (12 papers) and Machine Learning and ELM (10 papers). Md. Saiful Islam collaborates with scholars based in Bangladesh, South Korea and Malaysia. Md. Saiful Islam's co-authors include Mohammad Mohiuddin, Uipil Chong, Mohamed Mohandes, Shafiqur Rehman, Jia Uddin, Sheikh Rashel Al Ahmed, Avijit Ghosh, T.A. Taha, Mostafizur Rahaman and Md. Suruz Mian and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Md. Saiful Islam

63 papers receiving 677 citations

Hit Papers

MRI brain tumor detection and classification using parall... 2023 2026 2024 2025 2023 25 50 75 100

Peers

Md. Saiful Islam
Comparison fields: 5 of 113
  • Computer Vision and Pattern Recognition 217
  • Neurology 215
  • Artificial Intelligence 191
  • Electrical and Electronic Engineering 174
  • Materials Chemistry 88
Replace M. A. Ansari with:
M. A. Ansari India
Rahul Chauhan India
Tian Wang China
S. Tamil Selvi India
Saddaf Rubab Pakistan
Hany S. Hussein Egypt
Mohammed F. Alsharekh Saudi Arabia
N. Suthanthira Vanitha India
Jasminder Kaur Sandhu India
Fida Hussain China
M. A. Ansari India View profile →
Citations per field, relative to Md. Saiful Islam
Md. Saiful Islam · 1×
Citations per year, relative to Md. Saiful Islam
Md. Saiful Islam · 1×

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
# Work Indexed citations
1 0
2 11
3 0
4 26
5 6
6 0
7 1
8 1
9 27
10 20
11 3
12 0
13 19
14 1
15 12
16 7
17 1
18 6
19 3
20 15

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026