Shashank Singh

943 total citations
34 papers, 392 citations indexed

About

Shashank Singh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Human-Computer Interaction. According to data from OpenAlex, Shashank Singh has authored 34 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 5 papers in Human-Computer Interaction. Recurrent topics in Shashank Singh's work include Natural Language Processing Techniques (4 papers), Text Readability and Simplification (4 papers) and Handwritten Text Recognition Techniques (4 papers). Shashank Singh is often cited by papers focused on Natural Language Processing Techniques (4 papers), Text Readability and Simplification (4 papers) and Handwritten Text Recognition Techniques (4 papers). Shashank Singh collaborates with scholars based in India, United States and China. Shashank Singh's co-authors include Yang Yang, Jian Ma, Barnabás Póczos, Ruochi Zhang, Shailendra Narayan Singh, Amrita Chaturvedi, Ashwani Sethi, Rakesh Datta, Jaeah Kim and Erik D. Thiessen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Shashank Singh

30 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shashank Singh India 10 189 65 34 28 28 34 392
Régis Fournier France 11 225 1.2× 17 0.3× 40 1.2× 19 0.7× 57 2.0× 29 497
Shenghao Li China 11 92 0.5× 15 0.2× 44 1.3× 35 1.3× 15 0.5× 29 379
Xingyu Cai United States 10 47 0.2× 184 2.8× 40 1.2× 3 0.1× 23 0.8× 35 371
Boonserm Kaewkamnerdpong Thailand 10 81 0.4× 63 1.0× 23 0.7× 6 0.2× 34 1.2× 30 275
Sheng Qian China 10 62 0.3× 78 1.2× 65 1.9× 6 0.2× 16 0.6× 27 341
Hua-Nong Ting Malaysia 10 40 0.2× 128 2.0× 12 0.4× 4 0.1× 51 1.8× 49 351
Tong Xue China 10 30 0.2× 55 0.8× 66 1.9× 64 2.3× 11 0.4× 35 257
Jin Ma China 9 20 0.1× 36 0.6× 38 1.1× 17 0.6× 44 1.6× 32 242
Katsunori Oyama Japan 8 32 0.2× 63 1.0× 54 1.6× 12 0.4× 17 0.6× 38 250

Countries citing papers authored by Shashank Singh

Since Specialization
Citations

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

Fields of papers citing papers by Shashank Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shashank Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Shashank Singh. A scholar is included among the top collaborators of Shashank 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 Shashank Singh. Shashank 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.
Hazari, Puja Panwar, et al.. (2025). (CR)4-Targeted Liposomal Doxorubicin as Promising Therapeutic Approach for Breast Cancer Therapy. Journal of Pharmaceutical Innovation. 20(4).
2.
Singh, Shashank & Amrita Chaturvedi. (2024). An efficient multi-modal sensors feature fusion approach for handwritten characters recognition using Shapley values and deep autoencoder. Engineering Applications of Artificial Intelligence. 138. 109225–109225. 1 indexed citations
3.
4.
Singh, Shashank. (2023). The Role of Artificial Intelligence in 5G Network Management: A comprehensive study. International Journal of Research Publication and Reviews. 4(11). 2862–2866. 1 indexed citations
5.
Kim, Jaeah, et al.. (2023). Staying and Returning dynamics of young children's attention. Developmental Science. 26(6). e13410–e13410. 1 indexed citations
6.
Singh, Shashank. (2023). Evolution of Gesture-Based Interactions: From Touch Screens to Virtual Reality. International Journal of Research Publication and Reviews. 4(11). 2514–2518. 1 indexed citations
7.
Singh, Shashank, et al.. (2021). Correlation of SARS-CoV-2 viral load in different population subsets: A study from a tertiary care North Indian Hospital. International Journal of Applied and Basic Medical Research. 11(3). 182–182. 1 indexed citations
8.
Kim, Jaeah, Shashank Singh, Erik D. Thiessen, & Anna V. Fisher. (2020). A hidden Markov model for analyzing eye-tracking of moving objects. Behavior Research Methods. 52(3). 1225–1243. 18 indexed citations
9.
Arık, Sercan Ö., Chunliang Li, Jinsung Yoon, et al.. (2020). Interpretable sequence learning for COVID-19 forecasting. Neural Information Processing Systems. 33. 18807–18818. 9 indexed citations
10.
Singh, Shashank & Shailendra Narayan Singh. (2020). HINDIA: a deep-learning-based model for spell-checking of Hindi language. Neural Computing and Applications. 33(8). 3825–3840. 12 indexed citations
11.
Kim, Jaeah, Shashank Singh, Erik D. Thiessen, & Anna V. Fisher. (2019). A Hidden Markov Model for Analyzing Eye-Tracking of Moving Objects. PsyArXiv (OSF Preprints). 3 indexed citations
12.
Rashid, Sabrina Mohd, Zhicheng Long, Shashank Singh, et al.. (2019). Adjustment in tumbling rates improves bacterial chemotaxis on obstacle-laden terrains. Proceedings of the National Academy of Sciences. 116(24). 11770–11775. 14 indexed citations
13.
Singh, Shashank, et al.. (2019). Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses. arXiv (Cornell University). 32. 9089–9100. 2 indexed citations
14.
Singh, Shashank, et al.. (2018). Nonparametric Density Estimation under Adversarial Losses. Neural Information Processing Systems. 31. 10225–10236. 3 indexed citations
15.
Singh, Shashank, Barnabás Póczos, & Jian Ma. (2018). Minimax Reconstruction Risk of Convolutional Sparse Dictionary Learning.. International Conference on Artificial Intelligence and Statistics. 1327–1336. 2 indexed citations
16.
Singh, Shashank & Barnabás Póczos. (2018). Exponential Concentration of a Density Functional Estimator. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 27. 3032–3040. 7 indexed citations
17.
Yang, Yang, Ruochi Zhang, Shashank Singh, & Jian Ma. (2017). Exploiting sequence-based features for predicting enhancer–promoter interactions. Bioinformatics. 33(14). i252–i260. 84 indexed citations
18.
Mittal, BR & Shashank Singh. (2017). Hybrid PET/MR imaging for evaluation of recurrence in gliomas: Standard of care or luxury?. Neurology India. 65(2). 302–302. 2 indexed citations
19.
Singh, Shashank. (2015). CONFORMALLY MINKOWSKI TYPE SPACES AND CERTAIN d-CONNECTIONS IN A MIRON SPACE. SHILAP Revista de lepidopterología.
20.
Singh, Shashank, et al.. (2014). Interactively Reconstructing Low Resolution Capsule Endoscopic Images. International Journal of Engineering Trends and Technology. 10(5). 217–225.

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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