Mouazma Batool

718 citations
18 papers · 604 · h-index 10

Impact in

Papers in

Mouazma Batool

18 papers receiving 593 citations

Peers

Mouazma Batool
Comparison fields: 5 of 70
  • Computer Vision and Pattern Recognition 459
  • Human-Computer Interaction 68
  • Artificial Intelligence 135
  • Geology 20
  • Biomedical Engineering 138
Replace Yeon-Ho Kim with:
Yeon-Ho Kim South Korea
Abrar Ahmed Pakistan
Sang Min Yoon South Korea
Adnan Ahmed Rafique Pakistan
Hammadi Nait‐Charif United Kingdom
Yang Fu China
Sundara Tejaswi Digumarti Switzerland
Leandro Cruz Portugal
Alessio Mecca Italy
Rony Darazi France
Mouazma Batool relative to Yeon-Ho Kim South Korea Yeon-Ho Kim's profile →
Citations per field
00.5×1.5×2.1×
Yeon-Ho Kim · 1×
Citations per year

Countries citing papers authored by Mouazma Batool

Since Specialization
Citations

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

Fields of papers citing papers by Mouazma Batool

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2019113
2 2020103
3 202098
4 202079
5 202069
6 202337
7 202122
8 202418
9 202411
10 202311
11 20229
12 20229
13 20246
14 20225
15 20225
16 20213
17 20223
18 20183

About Mouazma Batool

Mouazma Batool is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 18 papers that have together received 604 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (12 papers), Human Pose and Action Recognition (7 papers), Non-Invasive Vital Sign Monitoring (5 papers), IoT-based Smart Home Systems (4 papers), Video Surveillance and Tracking Methods (3 papers), Gait Recognition and Analysis (3 papers), Anomaly Detection Techniques and Applications (3 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (459 citations), Human-Computer Interaction (68 citations), Artificial Intelligence (135 citations), Geology (20 citations) and Biomedical Engineering (138 citations). Mouazma Batool has collaborated with scholars based in Pakistan, South Korea and Saudi Arabia. Frequent co-authors include Kibum Kim, Ahmad Jalal, Ahmad Jalal, Sheikh Badar ud din Tahir, Jeongmin Park, Mohammed Alatiyyah, Khaled Alnowaiser, Hanan Aljuaid, Saud S. Alotaibi and Ahmad Jalal. Their work appears in journals such as IEEE Access, Computers, materials & continua/Computers, materials & continua (Print), Applied Sciences, Frontiers in Bioengineering and Biotechnology and Sustainability.

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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