Rahul Kumar Singh

2.3k total citations · 2 hit papers
56 papers, 1.4k citations indexed

About

Rahul Kumar Singh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Rahul Kumar Singh has authored 56 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 11 papers in Information Systems. Recurrent topics in Rahul Kumar Singh's work include Handwritten Text Recognition Techniques (7 papers), Image Processing and 3D Reconstruction (7 papers) and Sentiment Analysis and Opinion Mining (6 papers). Rahul Kumar Singh is often cited by papers focused on Handwritten Text Recognition Techniques (7 papers), Image Processing and 3D Reconstruction (7 papers) and Sentiment Analysis and Opinion Mining (6 papers). Rahul Kumar Singh collaborates with scholars based in India, United States and Singapore. Rahul Kumar Singh's co-authors include Alexandros Karargyris, Kannappan Palaniappan, Zhiyun Xue, Sameer Antani, Clement J. McDonald, Sema Candemir, Stefan Jaeger, Arunodaya Raj Mishra, George R. Thoma and Gourav Bathla and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Pattern Recognition and IEEE Transactions on Electron Devices.

In The Last Decade

Rahul Kumar Singh

45 papers receiving 1.4k citations

Hit Papers

Automatic Tuberculosis Screening Using Chest Radiographs 2013 2026 2017 2021 2013 2013 100 200 300 400
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. Automatic Tuberculosis Screening Using Chest Radiographs
    2013 434 citations Rahul Kumar Singh et al. profile →
  2. Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration
    2013 415 citations Rahul Kumar Singh 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 Kumar Singh India 14 687 520 376 189 139 56 1.4k
Jun Sang China 18 253 0.4× 302 0.6× 452 1.2× 166 0.9× 59 0.4× 73 1.2k
Aun Irtaza Pakistan 27 362 0.5× 789 1.5× 1.2k 3.3× 50 0.3× 60 0.4× 101 2.5k
Anupam Kumar Bairagi Bangladesh 25 427 0.6× 539 1.0× 240 0.6× 84 0.4× 31 0.2× 70 2.0k
Olaide N. Oyelade Nigeria 17 304 0.4× 652 1.3× 213 0.6× 53 0.3× 22 0.2× 40 1.1k
Hammam Alshazly Egypt 24 359 0.5× 405 0.8× 419 1.1× 45 0.2× 17 0.1× 40 1.3k
Abdelghani Dahou Algeria 27 195 0.3× 1.2k 2.4× 493 1.3× 49 0.3× 48 0.3× 73 2.3k
Hazem M. El‐Bakry Egypt 24 155 0.2× 911 1.8× 899 2.4× 75 0.4× 42 0.3× 204 2.3k
Dilovan Asaad Zebari Iraq 21 335 0.5× 588 1.1× 310 0.8× 32 0.2× 24 0.2× 54 1.2k
Dheyaa Ahmed Ibrahim Iraq 21 316 0.5× 577 1.1× 502 1.3× 32 0.2× 17 0.1× 37 1.4k
Mukesh Soni India 22 220 0.3× 472 0.9× 174 0.5× 36 0.2× 33 0.2× 114 1.4k

Countries citing papers authored by Rahul Kumar Singh

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Kumar Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahul Kumar Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Kumar Singh. A scholar is included among the top collaborators of Rahul Kumar Singh 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 Kumar Singh. Rahul Kumar Singh 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.
Singh, Rahul Kumar, et al.. (2025). Transfer Learning for Cross-Domain Sentiment Classification via Domain Adaptation. IEEE Transactions on Computational Social Systems. 1–16.
2.
Singh, Nisha, et al.. (2024). Financial Time Series Prediction on Apple Stocks Using Machine and Deep Learning Models. 1–6. 1 indexed citations
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Singh, Rahul Kumar, et al.. (2023). Hybrid CMOS-Ferroelectric FET-Based Image Sensor With Tunable Dynamic Range. IEEE Transactions on Electron Devices. 71(1). 624–629. 3 indexed citations
7.
Bathla, Gourav, Kishor V. Bhadane, Rahul Kumar Singh, et al.. (2022). Autonomous Vehicles and Intelligent Automation: Applications, Challenges, and Opportunities. Mobile Information Systems. 2022. 1–36. 123 indexed citations
8.
Bathla, Gourav, et al.. (2022). Intelligent fake reviews detection based on aspect extraction and analysis using deep learning. Neural Computing and Applications. 34(22). 20213–20229. 48 indexed citations
9.
Singh, Rahul Kumar, et al.. (2022). Bottlenecks and reflections from turnkey installation of MRI in a tertiary care Greenfield project: a case study. BMJ Leader. 7(1). 68–71. 1 indexed citations
10.
Singh, Rahul Kumar, et al.. (2020). Interaction Strategies of Blind Web Users – A Qualitative Study. Journal of the Association for Information Systems. 1 indexed citations
11.
Mishra, Arunodaya Raj, et al.. (2018). Multi-criteria assessment of cellular mobile telephone service providers using intuitionistic fuzzy WASPAS method with similarity measures. Granular Computing. 4(3). 511–529. 86 indexed citations
12.
Singh, Rahul Kumar, et al.. (2017). Fuzzy Automata: A Quantitative Review. 3(7). 11–17. 4 indexed citations
13.
Sharma, Richa, et al.. (2017). Research Work Area Recommendation based on Collaborative Filtering. International Journal of Education and Management Engineering. 7(2). 50–62.
14.
Singh, Rahul Kumar, et al.. (2017). A Survey on the Generation of Recommender Systems. International Journal of Information Engineering and Electronic Business. 9(3). 26–35. 13 indexed citations
15.
Sharma, Richa, et al.. (2016). Guide Me: A Research Work Area Recommender System. International Journal of Intelligent Systems and Applications. 8(9). 30–37. 10 indexed citations
16.
Singh, Rahul Kumar. (2014). Web-based interactive editing and analytics for supervised segmentation of biomedical images. MOspace Institutional Repository (University of Missouri). 2 indexed citations
17.
Singh, Rahul Kumar, et al.. (2002). Letter-level shape description by skeletonization in faded documents. 121–126. 2 indexed citations
18.
Singh, Rahul Kumar, et al.. (2002). Pose alignment of an eye-in-hand system using image morphing. 2. 698–704.
19.
Singh, Rahul Kumar, Vladimir Cherkassky, & Nikos Papanikolopoulos. (2000). Self-organizing maps for the skeletonization of sparse shapes. IEEE Transactions on Neural Networks. 11(1). 241–248. 29 indexed citations
20.
Pavlidis, Ioannis, Rahul Kumar Singh, & Nikos Papanikolopoulos. (1996). Recognition of on-line handwritten patterns through shape metamorphosis. 18–22 vol.3. 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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