Neeta Nain

1.4k total citations
80 papers, 647 citations indexed

About

Neeta Nain is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Neeta Nain has authored 80 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 16 papers in Signal Processing. Recurrent topics in Neeta Nain's work include Handwritten Text Recognition Techniques (17 papers), Biometric Identification and Security (16 papers) and Face recognition and analysis (16 papers). Neeta Nain is often cited by papers focused on Handwritten Text Recognition Techniques (17 papers), Biometric Identification and Security (16 papers) and Face recognition and analysis (16 papers). Neeta Nain collaborates with scholars based in India, Ethiopia and United States. Neeta Nain's co-authors include Mushtaq Ahmed, Maroti Deshmukh, Sandeep K. Gupta, Gaurav Singal, Prakash Choudhary, Yogesh Kumar Meena, Vijay Laxmi, Balasubramanian Raman, Santosh Kumar Vipparthi and Tapas Badal and has published in prestigious journals such as Pattern Recognition, Neural Computing and Applications and Artificial Intelligence Review.

In The Last Decade

Neeta Nain

76 papers receiving 593 citations

Peers

Neeta Nain
Shang‐Hung Lin United States
Peng Dai China
Cheonshik Kim South Korea
Ji Wan China
Shang‐Hung Lin United States
Neeta Nain
Citations per year, relative to Neeta Nain Neeta Nain (= 1×) peers Shang‐Hung Lin

Countries citing papers authored by Neeta Nain

Since Specialization
Citations

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

Fields of papers citing papers by Neeta Nain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neeta Nain

This figure shows the co-authorship network connecting the top 25 collaborators of Neeta Nain. A scholar is included among the top collaborators of Neeta Nain 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 Neeta Nain. Neeta Nain 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
2.
Nain, Neeta, et al.. (2024). Integrating user-side information into matrix factorization to address data sparsity of collaborative filtering. Multimedia Systems. 30(2). 4 indexed citations
3.
Gupta, Sandeep K., et al.. (2022). Real-Time Gender Recognition for Juvenile and Adult Faces. Computational Intelligence and Neuroscience. 2022. 1–15. 3 indexed citations
4.
Gupta, Sandeep K. & Neeta Nain. (2022). Review: Single attribute and multi attribute facial gender and age estimation. Multimedia Tools and Applications. 82(1). 1289–1311. 17 indexed citations
5.
Sinha, Aditya, et al.. (2020). ChildFace: Gender Aware Child Face Aging. 255–263. 2 indexed citations
6.
Nain, Neeta, et al.. (2019). PUG-FB : Person-verification using geometric and Haralick features of footprint biometric. Multimedia Tools and Applications. 79(3-4). 2671–2701. 6 indexed citations
7.
Nain, Neeta, et al.. (2019). Grid Search Optimization (GSO) Based Future Sales Prediction for Big Mart. 172–178. 15 indexed citations
8.
Modi, Deepa, et al.. (2018). Part-of-speech Tagging for Hindi Corpus in Poor Resource Scenario. Journal of Multimedia Information System. 5(3). 147–154. 2 indexed citations
9.
Nain, Neeta, et al.. (2018). A texture based mani-fold approach for crowd density estimation using Gaussian Markov Random Field. Multimedia Tools and Applications. 78(5). 5645–5664. 8 indexed citations
10.
Nain, Neeta, et al.. (2017). Detailed Analysis of Footprint Geometry for Person Identification. 229–236. 13 indexed citations
11.
Nain, Neeta, et al.. (2016). A Literature Review on Crowd Scene Analysis and Monitoring. 4(2). 9–20. 4 indexed citations
12.
Deshmukh, Maroti, Neeta Nain, & Mushtaq Ahmed. (2016). An (n, n)-Multi Secret Image Sharing Scheme Using Boolean XOR and Modular Arithmetic. 690–697. 39 indexed citations
14.
Nain, Neeta, et al.. (2014). An efficient feature extraction method for segmented cursive characters recognition. 8. 1153–1158. 2 indexed citations
15.
Nain, Neeta, et al.. (2014). Script independent feature set for handwritten text recognition. 1147–1152. 2 indexed citations
16.
Choudhary, Prakash & Neeta Nain. (2014). An annotated Urdu corpus of handwritten text image and benchmarking of corpus. 1159–1164. 4 indexed citations
17.
Nain, Neeta, et al.. (2008). Feature Point Detection for Real Time Applications. IPCV. 297–303.
18.
Nain, Neeta, et al.. (2007). Transformation Invariant Robust Shape Analysis.. IPCV. 275–281. 1 indexed citations
19.
Nain, Neeta, et al.. (2007). Corner Detection Using Difference Chain Code as Curvature. 821–825. 19 indexed citations
20.
Nain, Neeta, et al.. (2006). Morphological Edge Detection and Corner Detection Algorithm Using Chain Encoding.. IPCV. 84(6). 520–525. 6 indexed citations

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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