Fuad Rahman

1.3k citations
85 papers · 735 · h-index 14

Impact in

Papers in

    • Neural Networks and Applications 14
    • Natural Language Processing Techniques 9
    • Machine Learning and Data Classification 6
    • Topic Modeling 6
    • Handwritten Text Recognition Techniques 25
    • Image Retrieval and Classification Techniques 15
    • Image Processing and 3D Reconstruction 6

Fuad Rahman

77 papers receiving 654 citations

Peers

Fuad Rahman
Comparison fields: 5 of 99
  • Computer Vision and Pattern Recognition 362
  • Media Technology 119
  • Artificial Intelligence 355
  • Signal Processing 65
  • Information Systems 101
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Citations per field
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Citations per year

Countries citing papers authored by Fuad Rahman

Since Specialization
Citations

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

Fields of papers citing papers by Fuad Rahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fuad Rahman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fuad Rahman Line = papers co-authored together Fuad Rahman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Decision-making frameworks
200163
2 200362
3 200259
4
Content Extraction from HTML Documents
200151
5 200132
6 199931
7 199830
8 199727
9 199724
10
Cryptography: A New Approach of Classical Hill Cipher
201319
11 200416
12 200014
13 199913
14 200013
15 199713
16 200112
17 200512
18 200212
19 200212
20 200211

About Fuad Rahman

Fuad Rahman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology, Information Systems and Sociology and Political Science, having authored 85 papers that have together received 735 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (25 papers), Image Retrieval and Classification Techniques (15 papers), Neural Networks and Applications (14 papers), Natural Language Processing Techniques (9 papers), Image Processing and 3D Reconstruction (6 papers), Machine Learning and Data Classification (6 papers), Topic Modeling (6 papers) and Vehicle License Plate Recognition (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (362 citations), Media Technology (119 citations), Artificial Intelligence (355 citations), Signal Processing (65 citations) and Information Systems (101 citations). Fuad Rahman has collaborated with scholars based in United Kingdom, United States and Bangladesh. Frequent co-authors include M.C. Fairhurst, Rashedur M. Rahman, Michael Fairhurst, Marvin J. Slepian, M. Kaykobad, Flórián Tóth, Aman Kumar, Ina Meyer, John P. Weyant and AKM Shahariar Azad Rabby. Their work appears in journals such as Electronics Letters, International Journal on Document Analysis and Recognition (IJDAR), Pattern Recognition, Pattern Recognition Letters and Image and Vision Computing.

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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