Syed Sameed Husain

447 citations
18 papers · 247 · h-index 9

Impact in

Papers in

Syed Sameed Husain

17 papers receiving 238 citations

Peers

Syed Sameed Husain
Comparison fields: 5 of 69
  • Computer Vision and Pattern Recognition 145
  • Signal Processing 33
  • Media Technology 23
  • Biophysics 12
  • Insect Science 20
Replace Vijayalakshmi G. V. Mahesh with:
Vijayalakshmi G. V. Mahesh India
Charles Yaacoub Lebanon
Chil-Woo Lee South Korea
Chi Nhan Duong United States
Fugang Liu China
Doreid Ammar France
Yuanhao Guo China
Salah Karout United Kingdom
M. Rahmat Widyanto Indonesia
Syed Sameed Husain relative to Vijayalakshmi G. V. Mahesh India Vijayalakshmi G. V. Mahesh's profile →
Citations per field
00.5×5.5×
Vijayalakshmi G. V. Mahesh · 1×
Citations per year

Countries citing papers authored by Syed Sameed Husain

Since Specialization
Citations

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

Fields of papers citing papers by Syed Sameed Husain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Syed Sameed Husain. 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 Syed Sameed Husain. The network helps show where Syed Sameed Husain may publish in the future.

Co-authors

The 25 scholars most cited alongside Syed Sameed Husain, 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 Syed Sameed Husain Line = papers co-authored together Syed Sameed Husain links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201642
2 201939
3 197933
4 202032
5 201821
6 201816
7 201516
8 202412
9 202211
10 20196
11 20235
12 20144
13 20194
14 20222
15 20142
16
ACTNET: end-to-end learning of feature activations and aggregation for effective instance image retrieval
20191
17 20221
18 20160

About Syed Sameed Husain

Syed Sameed Husain is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Aerospace Engineering and Molecular Biology, having authored 18 papers that have together received 247 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (5 papers), Image Retrieval and Classification Techniques (4 papers), Robotics and Sensor-Based Localization (3 papers), Cell Image Analysis Techniques (2 papers), Advanced Neural Network Applications (2 papers), Speech and Audio Processing (2 papers), Data Visualization and Analytics (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (145 citations), Signal Processing (33 citations), Media Technology (23 citations), Biophysics (12 citations) and Insect Science (20 citations). Syed Sameed Husain has collaborated with scholars based in United Kingdom, United States and Pakistan. Frequent co-authors include Mirosław Bober, Stephen G. Wilson, Eng-Jon Ong, Junaid Mir, Mikel Bober-Irizar, Ivo D. Dinov, Alexandr A. Kalinin, Anil Fernando, Muhammad Obaid Ullah and Martin Middendorf. Their work appears in journals such as Scientific Reports, IEEE Transactions on Image Processing, Automation in Construction, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Neural Networks and Learning Systems.

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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