Rahul Nijhawan

1.1k total citations · 1 hit paper
38 papers, 598 citations indexed

About

Rahul Nijhawan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Atmospheric Science. According to data from OpenAlex, Rahul Nijhawan has authored 38 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 7 papers in Atmospheric Science. Recurrent topics in Rahul Nijhawan's work include Cryospheric studies and observations (5 papers), Landslides and related hazards (5 papers) and Remote-Sensing Image Classification (5 papers). Rahul Nijhawan is often cited by papers focused on Cryospheric studies and observations (5 papers), Landslides and related hazards (5 papers) and Remote-Sensing Image Classification (5 papers). Rahul Nijhawan collaborates with scholars based in India, United States and Saudi Arabia. Rahul Nijhawan's co-authors include Ankush Mittal, Kartik Thakral, Balasubramanian Raman, Josodhir Das, Siddharth Gupta, Himanshu Sharma, Shashank Bhushan, Pradeep Kumar Garg, Pushkar Shukla and Amit Kumar Singh and has published in prestigious journals such as Scientific Reports, IEEE Access and International Journal of Remote Sensing.

In The Last Decade

Rahul Nijhawan

32 papers receiving 571 citations

Hit Papers

Pneumonia Detection Using CNN based Feature Extraction 2019 2026 2021 2023 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Pneumonia Detection Using CNN based Feature Extraction
    2019 266 citations Rahul Nijhawan, Ankush Mittal et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rahul Nijhawan India 11 281 193 128 82 66 38 598
Alireza Mehri Dehnavi Iran 12 182 0.6× 71 0.4× 159 1.2× 30 0.4× 6 0.1× 30 571
Edy Irwansyah Indonesia 11 59 0.2× 148 0.8× 86 0.7× 12 0.1× 8 0.1× 84 477
Karamjeet Singh India 11 85 0.3× 144 0.7× 212 1.7× 15 0.2× 11 0.2× 27 466
Mattia Savardi Italy 11 146 0.5× 118 0.6× 114 0.9× 53 0.6× 29 0.4× 29 566
Manohar Karki United States 8 65 0.2× 118 0.6× 162 1.3× 59 0.7× 10 0.2× 11 510
Ju Zhang China 13 114 0.4× 86 0.4× 183 1.4× 18 0.2× 15 0.2× 44 471
Pushpendra Singh Sisodia India 8 24 0.1× 67 0.3× 32 0.3× 51 0.6× 11 0.2× 16 367
Siti Raihanah Abdani Malaysia 14 294 1.0× 98 0.5× 162 1.3× 7 0.1× 49 0.7× 30 489
Hyun‐chong Cho South Korea 10 51 0.2× 74 0.4× 71 0.6× 9 0.1× 32 0.5× 53 281
S. Deivalakshmi India 10 124 0.4× 127 0.7× 164 1.3× 6 0.1× 18 0.3× 59 395

Countries citing papers authored by Rahul Nijhawan

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Nijhawan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahul Nijhawan

This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Nijhawan. A scholar is included among the top collaborators of Rahul Nijhawan 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 Rahul Nijhawan. Rahul Nijhawan 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
1.
Nijhawan, Rahul, et al.. (2025). EDCCN: A benchmark encoder-decoder framework for accurate crowd counting. Neurocomputing. 640. 130304–130304. 1 indexed citations
2.
Nijhawan, Rahul, et al.. (2023). Brain Tumor Detection using Deep Features. 1–5.
3.
Naz, Huma, Rahul Nijhawan, Neelu Jyothi Ahuja, et al.. (2023). Ensembled Deep Convolutional Generative Adversarial Network for Grading Imbalanced Diabetic Retinopathy Recognition. IEEE Access. 11. 120554–120568. 8 indexed citations
4.
5.
Nijhawan, Rahul, et al.. (2023). VTnet+Handcrafted based approach for food cuisines classification. Multimedia Tools and Applications. 83(4). 10695–10715. 9 indexed citations
6.
Nijhawan, Rahul, et al.. (2022). An Edge Filter Based Approach of Neural Style Transfer to the Image Stylization. IEEE Access. 10. 104612–104621. 3 indexed citations
7.
Nijhawan, Rahul, et al.. (2022). CNN Models and Machine Learning Classifiers for Analysis of Goiter Disease. 586 24. 1–6. 4 indexed citations
8.
Nijhawan, Rahul, et al.. (2022). Gun identification from gunshot audios for secure public places using transformer learning. Scientific Reports. 12(1). 13300–13300. 12 indexed citations
9.
Agarwal, Rashi, et al.. (2022). Using Deep Learning Approach for Land-Use and Land-Cover Classification based on Satellite images. 2022 2nd Asian Conference on Innovation in Technology (ASIANCON). 1–8. 1 indexed citations
10.
11.
Nijhawan, Rahul, et al.. (2022). Diagnosing Skin Lesion Using Multi-Modal Analysis. 49. 1–5. 1 indexed citations
12.
Nijhawan, Rahul, et al.. (2021). Classification and Detection of Acne on the Skin using Deep Learning Algorithms. 110–114. 13 indexed citations
13.
Nijhawan, Rahul, et al.. (2021). A Hybrid Deep Learning Framework Approach for the Detection of Different Varieties of Grain Types. 307–311. 1 indexed citations
14.
Nijhawan, Rahul, et al.. (2019). A Research on Deep Learning Advance for Landslide Classification using Convolutional Neural Networks. International Journal of Innovative Technology and Exploring Engineering. 8(6S4). 903–906. 1 indexed citations
15.
Nijhawan, Rahul, et al.. (2019). A Novel AdaBoost Approach for Cloud Type Classification. Journal of Advanced Research in Dynamic and Control Systems. 11. 372–376.
16.
Gupta, Siddharth, et al.. (2019). Classification of Lesions in Retinal Fundus Images for Diabetic Retinopathy Using Transfer Learning. 342–347. 31 indexed citations
17.
Nijhawan, Rahul, et al.. (2019). Hybrid Computational Intelligence Technique: Eczema Detection. 10 indexed citations
18.
Nijhawan, Rahul, et al.. (2017). An Integrated Deep Learning Framework Approach for Nail Disease Identification. 197–202. 39 indexed citations
19.
Nijhawan, Rahul, et al.. (2017). Land cover classification using super-vised and unsupervised learning techniques. 15 indexed citations
20.
Nijhawan, Rahul, et al.. (2016). Monitoring of glacier in Alaknanda basin using remote sensing data. Perspectives in Science. 8. 381–383. 4 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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