Nitin Singhal

726 total citations
29 papers, 365 citations indexed

About

Nitin Singhal is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Nitin Singhal has authored 29 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Nitin Singhal's work include Advanced Image and Video Retrieval Techniques (8 papers), AI in cancer detection (7 papers) and Advanced Vision and Imaging (7 papers). Nitin Singhal is often cited by papers focused on Advanced Image and Video Retrieval Techniques (8 papers), AI in cancer detection (7 papers) and Advanced Vision and Imaging (7 papers). Nitin Singhal collaborates with scholars based in South Korea, India and United States. Nitin Singhal's co-authors include Sungdae Cho, In Kyu Park, Chris Kim, In Kyu Park, Sang-Uk Lee, Young-Yoon Lee, Chang‐Su Kim, Hariharan Ravishankar, Vivek Vaidya and Jin Woo Yoo and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Scientific Reports and Ultrasound in Obstetrics and Gynecology.

In The Last Decade

Nitin Singhal

27 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nitin Singhal South Korea	10	192	93	75	42	29	29	365
Peter de With Netherlands	9	230 1.2×	90 1.0×	70 0.9×	132 3.1×	50 1.7×	25	510
Serge Miguet France	9	262 1.4×	59 0.6×	152 2.0×	52 1.2×	59 2.0×	39	450
Somsak Choomchuay Thailand	11	134 0.7×	132 1.4×	121 1.6×	37 0.9×	39 1.3×	60	349
Shoaib Azmat Pakistan	9	173 0.9×	135 1.5×	107 1.4×	25 0.6×	20 0.7×	23	390
Ehsan Saeedi Australia	9	85 0.4×	121 1.3×	137 1.8×	10 0.2×	12 0.4×	22	354
Zhiyuan Li China	12	97 0.5×	67 0.7×	127 1.7×	9 0.2×	58 2.0×	46	380
Michel Bister Belgium	11	209 1.1×	104 1.1×	203 2.7×	171 4.1×	12 0.4×	25	462
Hyunseok Seo South Korea	9	314 1.6×	244 2.6×	266 3.5×	33 0.8×	21 0.7×	36	571
Runze Wang China	8	76 0.4×	155 1.7×	96 1.3×	14 0.3×	30 1.0×	20	231
K. Jayanthi India	9	55 0.3×	44 0.5×	37 0.5×	55 1.3×	32 1.1×	71	284

Countries citing papers authored by Nitin Singhal

Since Specialization

Citations

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

Fields of papers citing papers by Nitin Singhal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nitin Singhal

This figure shows the co-authorship network connecting the top 25 collaborators of Nitin Singhal. A scholar is included among the top collaborators of Nitin Singhal 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 Nitin Singhal. Nitin Singhal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ding, Chien‐Kuang Cornelia, Zhuo T. Su, Daniela C. Salles, et al.. (2024). Predicting prostate cancer grade reclassification on active surveillance using a deep learning–based grading algorithm. JNCI Journal of the National Cancer Institute. 116(10). 1683–1686. 2 indexed citations

Singhal, Nitin, et al.. (2023). Prototype Governed Contrastive Learning for Robust Image Classification in Histopathology.

Singhal, Nitin, et al.. (2022). A deep learning system for prostate cancer diagnosis and grading in whole slide images of core needle biopsies. Scientific Reports. 12(1). 3383–3383. 47 indexed citations

Kamble, Ravi, et al.. (2022). LADEN: Lesion-Aware Adversarial Deep Network for Grading of Macular Diseases Using Color Fundus Images. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). 1–4. 1 indexed citations

Singhal, Nitin, et al.. (2022). Self-Ensemble Distillation Using Mean Teachers with Long & Short Memory. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). 1–4. 1 indexed citations

Singhal, Nitin, et al.. (2021). Context Aggregation Network For Semantic Labeling In Histopathology Images. 673–676. 2 indexed citations

Singhal, Nitin, et al.. (2019). Quadriplegia secondary to abiraterone-induced severe hypokalemia. South Asian Journal of Cancer. 8(3). 139–144. 1 indexed citations

Suresh, Rahul, et al.. (2019). Automated measurement of fetal right-myocardial performance index from pulsed wave Doppler spectrum. 9040. 20–20. 1 indexed citations

Singhal, Nitin, et al.. (2018). P14.09: Predicting implantation success using junctional zone assessment in assisted reproduction. Ultrasound in Obstetrics and Gynecology. 52(S1). 175–175. 1 indexed citations

10.

Ravishankar, Hariharan, et al.. (2016). Hybrid approach for automatic segmentation of fetal abdomen from ultrasound images using deep learning. 779–782. 37 indexed citations

11.

Singhal, Nitin, et al.. (2016). Restaging after neoadjuvant chemoradiation in rectal cancers: is histology the key in patient selection?. Journal of Gastrointestinal Oncology. 7(3). 360–364. 3 indexed citations

12.

Singhal, Nitin, et al.. (2013). Object oriented framework for real-time image processing on GPU. Multimedia Tools and Applications. 70(3). 2347–2368. 3 indexed citations

13.

Singhal, Nitin, et al.. (2012). Implementation and Optimization of Image Processing Algorithms on Embedded GPU. IEICE Transactions on Information and Systems. E95.D(5). 1475–1484. 11 indexed citations

14.

Singhal, Nitin, et al.. (2010). Object oriented framework for real-time image processing on GPU. 4477–4480. 6 indexed citations

15.

Singhal, Nitin, et al.. (2010). Motion sketch. 1–1. 1 indexed citations

16.

Park, In Kyu, et al.. (2010). Design and Performance Evaluation of Image Processing Algorithms on GPUs. IEEE Transactions on Parallel and Distributed Systems. 22(1). 91–104. 101 indexed citations

17.

Singhal, Nitin, et al.. (2010). Mobile photo collage. 24–30. 5 indexed citations

18.

Park, In Kyu, et al.. (2009). Efficient design and implementation of visual computing algorithms on the GPU. 2321–2324. 5 indexed citations

19.

Singhal, Nitin, Young-Yoon Lee, Chang‐Su Kim, & Sang-Uk Lee. (2009). Robust image watermarking using local Zernike moments. Journal of Visual Communication and Image Representation. 20(6). 408–419. 39 indexed citations

20.

Singhal, Nitin, Young-Yoon Lee, Chang‐Su Kim, & Sang-Uk Lee. (2007). Robust Image Watermarking Based on Local Zernike Moments. 2613. 401–404. 10 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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