Javed Imran

737 citations
12 papers · 366 · h-index 8

Impact in

Papers in

Javed Imran

12 papers receiving 356 citations

Peers

Javed Imran
Comparison fields: 5 of 58
  • Human-Computer Interaction 86
  • Computer Vision and Pattern Recognition 293
  • Artificial Intelligence 175
  • Biomedical Engineering 110
  • Developmental and Educational Psychology 22
Replace Kiwon Yun with:
Kiwon Yun United States
Charul Bhatnagar India
Marwa Elpeltagy Egypt
Nam Le Switzerland
Brian Reily United States
Lionel Pigou Belgium
Noramiza Hashim Malaysia
M. Teja Kiran Kumar India
Chuankun Li China
Harshala Gammulle Australia
Javed Imran relative to Kiwon Yun United States Kiwon Yun's profile →
Citations per field
00.5×4.4×
Kiwon Yun · 1×
Citations per year

Countries citing papers authored by Javed Imran

Since Specialization
Citations

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

Fields of papers citing papers by Javed Imran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Javed Imran, 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 Javed Imran Line = papers co-authored together Javed Imran links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2018117
2 201960
3 201947
4 201646
5 202226
6 201921
7 202019
8 202017
9 20235
10 20183
11 20213
12 20252

About Javed Imran

Javed Imran is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Human-Computer Interaction and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 366 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (10 papers), Anomaly Detection Techniques and Applications (7 papers), Gait Recognition and Analysis (7 papers), Hand Gesture Recognition Systems (4 papers), Video Surveillance and Tracking Methods (3 papers), COVID-19 diagnosis using AI (2 papers), Advanced Neural Network Applications (1 paper) and Context-Aware Activity Recognition Systems (1 paper). The work is most often cited by research in Human-Computer Interaction (86 citations), Computer Vision and Pattern Recognition (293 citations), Artificial Intelligence (175 citations), Biomedical Engineering (110 citations) and Developmental and Educational Psychology (22 citations). Javed Imran has collaborated with scholars based in India, Japan and Malaysia. Frequent co-authors include Balasubramanian Raman, Praveen Kumar, Ridhi Arora, Vinodh J Sahayasheela, Himanshu Buckchash, Ganesh N. Pandian, Himanshu Gupta, Narayanan Narayanan, Rahul Kumar and Chandani Sharma. Their work appears in journals such as Journal of Ambient Intelligence and Humanized Computing, Pattern Analysis and Applications, The Visual Computer, Pattern Recognition Letters and Multimedia Tools and Applications.

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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