Murari Mandal

1.6k citations
33 papers · 848 · h-index 17

Impact in

    • Video Surveillance and Tracking Methods
    • Advanced Neural Network Applications
    • Image Enhancement Techniques
    • Advanced Image and Video Retrieval Techniques
    • Advanced Image Processing Techniques
    • Advanced Image Fusion Techniques

Papers in

Murari Mandal

31 papers receiving 819 citations

Peers

Murari Mandal
Comparison fields: 5 of 89
  • Computer Vision and Pattern Recognition 490
  • Media Technology 123
  • Health Informatics 8
  • Artificial Intelligence 200
  • Safety, Risk, Reliability and Quality 40
Replace Chunxiao Fan with:
Chunxiao Fan China
Mingtao Pei China
Munif Alotaibi Saudi Arabia
S. A. R. Abu–Bakar Malaysia
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Mei-Chen Yeh Taiwan
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Citations per field
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Chunxiao Fan · 1×
Citations per year

Countries citing papers authored by Murari Mandal

Since Specialization
Citations

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

Fields of papers citing papers by Murari Mandal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021112
2 202098
3 202371
4 201961
5 202360
6 202053
7 202344
8 202038
9 201932
10 202032
11 202131
12 202228
13 201927
14 202023
15 202222
16 202120
17 202119
18 201816
19 202116
20 20239

About Murari Mandal

Murari Mandal is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Experimental and Cognitive Psychology and Environmental Engineering, having authored 33 papers that have together received 848 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (11 papers), Video Surveillance and Tracking Methods (10 papers), Image Enhancement Techniques (6 papers), Anomaly Detection Techniques and Applications (5 papers), Remote-Sensing Image Classification (4 papers), Emotion and Mood Recognition (4 papers), Robotics and Sensor-Based Localization (3 papers) and Face and Expression Recognition (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (490 citations), Media Technology (123 citations), Health Informatics (8 citations), Artificial Intelligence (200 citations) and Safety, Risk, Reliability and Quality (40 citations). Murari Mandal has collaborated with scholars based in India, Singapore and United States. Frequent co-authors include Santosh Kumar Vipparthi, Vinay Chamola, Pratik Narang, Ayush K Tarun, Vikram S Chundawat, Mohan Kankanhalli, F. Richard Yu, Soumendu Sinha, Mohamed Abdel-Mottaleb and Subrahmanyam Murala. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Artificial Intelligence, ACM Transactions on Internet Technology and IEEE Transactions on Vehicular Technology.

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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