Aditya Nigam

1.9k citations
96 papers · 860 indexed · h-index 15
Topics
Biometric Identification and Security (36 papers)Face recognition and analysis (28 papers)User Authentication and Security Systems (14 papers)
Partner nations
IndiaUnited StatesNorway

In The Last Decade

Aditya Nigam

84 papers receiving 809 citations

Peers

Aditya Nigam
Comparison fields: 5 of 127
  • Computer Vision and Pattern Recognition 379
  • Signal Processing 326
  • Information Systems 144
  • Plant Science 110
  • Sociology and Political Science 96
Replace K. Meenakshi with:
K. Meenakshi India
Heyam H. Al-Baity Saudi Arabia
Rob Brennan Ireland
Olusola Abayomi‐Alli Nigeria
Prachi Deshpande India
Rohayanti Hassan Malaysia
I Ketut Gede Darma Putra Indonesia
Casi Setianingsih Indonesia
Mohammad Shamsul Arefin Bangladesh
Frédéric Andrès Japan
Aditya Nigam relative to K. Meenakshi India K. Meenakshi's profile →
Citations per field
00.5×6.9×
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-authorship network of co-authors of Aditya Nigam

This figure shows the co-authorship network connecting the top 25 collaborators of Aditya Nigam. A scholar is included among the top collaborators of Aditya Nigam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aditya Nigam. Aditya Nigam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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VStegNET: Video Steganography Network using Spatio-Temporal features and Micro-Bottleneck.
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About Aditya Nigam

Aditya Nigam is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 96 papers that have together received 860 indexed citations. Recurring topics across this work include Biometric Identification and Security (36 papers), Face recognition and analysis (28 papers) and User Authentication and Security Systems (14 papers). The work is most often cited by research in Signal Processing (326 citations), Computer Vision and Pattern Recognition (379 citations) and Information Systems (144 citations). Aditya Nigam has collaborated with scholars based in India, United States and Norway. Frequent co-authors include Phalguni Gupta, Gaurav Jaswal, Nivedita Menon, Kamlesh Tiwari, Rajneesh Rani, Ravinder Nath, Arnav Bhavsar, A. R. Rao, Rabi Narayan Sahoo and Sudhir Kumar. Their work appears in journals such as IEEE Access, Neurocomputing and Knowledge-Based Systems.

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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