Muhammad Munsif

482 citations
15 papers · 286 · h-index 9

Impact in

Papers in

Muhammad Munsif

15 papers receiving 276 citations

Peers

Muhammad Munsif
Comparison fields: 5 of 78
  • Human-Computer Interaction 38
  • Computer Vision and Pattern Recognition 88
  • Developmental and Educational Psychology 43
  • Analytical Chemistry 28
  • Safety, Risk, Reliability and Quality 16
Replace Shanu Sharma with:
Shanu Sharma India
Xiaohua Sun China
Dionis A. Padilla Philippines
Ujwalla Gawande India
Anny Yuniarti Indonesia
Nor Azman Ismail Malaysia
Darlis Herumurti Indonesia
Md. Sanzidul Islam Bangladesh
Yi Ji China
Naveen Kumar India
Muhammad Munsif relative to Shanu Sharma India Shanu Sharma's profile →
Citations per field
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Shanu Sharma · 1×
Citations per year

Countries citing papers authored by Muhammad Munsif

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Munsif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 202263
2 202156
3 202254
4 202317
5 202316
6 202415
7 202212
8 202411
9 20249
10 20247
11 20237
12 20237
13 20246
14 20224
15 20232

About Muhammad Munsif

Muhammad Munsif is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Materials Chemistry and Electrical and Electronic Engineering, having authored 15 papers that have together received 286 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (3 papers), Video Surveillance and Tracking Methods (3 papers), Human Pose and Action Recognition (3 papers), Heusler alloys: electronic and magnetic properties (2 papers), Video Analysis and Summarization (2 papers), Anomaly Detection Techniques and Applications (2 papers), Photovoltaic System Optimization Techniques (1 paper) and Boron and Carbon Nanomaterials Research (1 paper). The work is most often cited by research in Human-Computer Interaction (38 citations), Computer Vision and Pattern Recognition (88 citations), Developmental and Educational Psychology (43 citations), Analytical Chemistry (28 citations) and Safety, Risk, Reliability and Quality (16 citations). Muhammad Munsif has collaborated with scholars based in Pakistan, South Korea and Norway. Frequent co-authors include Habib Khan, Noman Khan, Muhammad Sajjad, Mi Young Lee, Khan Muhammad, Ijaz Ul Haq, Mohib Ullah, Mustaqeem Khan, Mustaqeem Mustaqeem and Sung Wook Baik. Their work appears in journals such as Computers in Biology and Medicine, Journal of Computational Design and Engineering, Alexandria Engineering Journal, Knowledge-Based Systems and Sensors.

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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