Aditya Nigam

1.9k citations
143 papers · 1.4k · h-index 18

Impact in

Papers in

Aditya Nigam

130 papers receiving 1.3k citations

Peers

Aditya Nigam
Comparison fields: 5 of 137
  • Signal Processing 582
  • Computer Vision and Pattern Recognition 594
  • Information Systems 285
  • Analytical Chemistry 60
  • Human-Computer Interaction 36
Replace K. Meenakshi with:
K. Meenakshi India
Heyam H. Al-Baity Saudi Arabia
Olusola Abayomi‐Alli Nigeria
Elaine M. Newton United States
Zhiwei Jin China
I Ketut Gede Darma Putra Indonesia
Michal E. Ptaszynski Japan
Mario González Ecuador
Charalampos A. Dimoulas Greece
Paul Crook United States
Aditya Nigam relative to K. Meenakshi India K. Meenakshi's profile →
Citations per field
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K. Meenakshi · 1×
Citations per year

Countries citing papers authored by Aditya Nigam

Since Specialization
Citations

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

Fields of papers citing papers by Aditya Nigam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007104
2 202096
3 201157
4 201856
5 202149
6 201546
7 201935
8 201434
9 201734
10 201233
11 201830
12 201930
13 202029
14 202127
15 202122
16 201120
17 201320
18 202020
19 201318
20 200917

About Aditya Nigam

Aditya Nigam is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Information Systems, Radiology, Nuclear Medicine and Imaging and Human-Computer Interaction, having authored 143 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biometric Identification and Security (60 papers), Face recognition and analysis (39 papers), User Authentication and Security Systems (25 papers), Face and Expression Recognition (13 papers), Advanced Neuroimaging Techniques and Applications (12 papers), Dermatoglyphics and Human Traits (9 papers), Handwritten Text Recognition Techniques (8 papers) and Advanced Image and Video Retrieval Techniques (8 papers). The work is most often cited by research in Signal Processing (582 citations), Computer Vision and Pattern Recognition (594 citations), Information Systems (285 citations), Analytical Chemistry (60 citations) and Human-Computer Interaction (36 citations). Aditya Nigam has collaborated with scholars based in India, United States and Bangladesh. Frequent co-authors include Phalguni Gupta, Gaurav Jaswal, Nivedita Menon, Arnav V. Bhavsar, Kamlesh Tiwari, Ravinder Nath, Rajneesh Rani, Chetan Arora, Surya Prakash and Alka Arora. Their work appears in journals such as Neurocomputing, Lecture notes in computer science, Magnetic Resonance Imaging, IEEE Access and Multimedia Tools and Applications.

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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