Iqbaldeep Kaur

718 citations
27 papers · 462 · h-index 9

Impact in

Papers in

Iqbaldeep Kaur

23 papers receiving 415 citations

Peers

Iqbaldeep Kaur
Comparison fields: 5 of 91
  • Neurology 113
  • Computer Vision and Pattern Recognition 236
  • Media Technology 64
  • Artificial Intelligence 134
  • Health Information Management 14
Replace Amit Verma with:
Amit Verma India
Shaveta Arora India
Junwei Duan China
Samar M. Alqhtani Saudi Arabia
Sonali Dash India
Feifei Lee Japan
Xiaogang Du China
Erdal Özbay Türkiye
Yuncong Feng China
Surekha Borra 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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019179
2 2019136
3 201930
4 201816
5 202015
6 202013
7 201612
8 20099
9 20168
10 20178
11 20095
12 20205
13 20094
14 20164
15 20214
16 20214
17 20163
18 20102
19
Comparative analysis of software engineering paradigms
20161
20 20161

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 27 papers that have together received 462 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), Face recognition and analysis (3 papers), Data Mining Algorithms and Applications (3 papers), Software Reliability and Analysis Research (2 papers), Advanced Steganography and Watermarking Techniques (2 papers) and Advanced Image Fusion Techniques (2 papers). The work is most often cited by research in Neurology (113 citations), Computer Vision and Pattern Recognition (236 citations), Media Technology (64 citations), Artificial Intelligence (134 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, IEEE Access, Applied Soft Computing and Symmetry.

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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