Iqbaldeep Kaur

732 citations
28 papers · 469 · h-index 9

Impact in

Papers in

Iqbaldeep Kaur

23 papers receiving 425 citations

Peers

Iqbaldeep Kaur
Comparison fields: 5 of 93
  • Neurology 111
  • Computer Vision and Pattern Recognition 232
  • Media Technology 64
  • Artificial Intelligence 132
  • Health Information Management 14
Replace Amit Verma with:
Amit Verma India
P. Mohanaiah India
Monika Bansal India
Shaveta Arora India
Surekha Borra India
Ming-Ni Wu Taiwan
Xiaogang Du China
Erdal Özbay Türkiye
Feifei Lee Japan
Deepika Ghai India
Iqbaldeep Kaur relative to Amit Verma India Amit Verma's profile →
Citations per field
00.5×
Amit Verma · 1×
Citations per year

Countries citing papers authored by Iqbaldeep Kaur

Since Specialization
Citations

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

Fields of papers citing papers by Iqbaldeep Kaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019181
2 2019137
3 201932
4 201816
5 202016
6 201613
7 202013
8 20099
9 20168
10 20178
11 20205
12 20095
13 20215
14 20214
15 20164
16 20094
17 20162
18 20102
19
Comparative analysis of software engineering paradigms
20161
20 20201

About Iqbaldeep Kaur

Iqbaldeep Kaur is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence and Media Technology, having authored 28 papers that have together received 469 indexed citations. Recurring topics across this work include Software Engineering Research (5 papers), Face and Expression Recognition (4 papers), Biometric Identification and Security (4 papers), Data Mining Algorithms and Applications (3 papers), Face recognition and analysis (3 papers), Advanced Image Fusion Techniques (2 papers), Advanced Clustering Algorithms Research (2 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Neurology (111 citations), Computer Vision and Pattern Recognition (232 citations), Media Technology (64 citations), Artificial Intelligence (132 citations) and Health Information Management (14 citations). Iqbaldeep Kaur has collaborated with scholars based in India, United States and China. Frequent co-authors include Lalit Mohan Goyal, Mamta Mittal, Amit Verma, D. Jude Hemanth, Sudipta Roy, Tai-hoon Kim, Bhavneet Kaur, Amit Verma, Lê Hoàng Sơn and Parvinder S. Sandhu. Their work appears in journals such as Indian Journal of Science and Technology, Multimedia Tools and Applications, Computers, materials & continua/Computers, materials & continua (Print), Symmetry and IEEE Access.

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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