Amit Sinha

852 total citations · 1 hit paper
12 papers, 482 citations indexed

About

Amit Sinha is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Amit Sinha has authored 12 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Amit Sinha's work include Spam and Phishing Detection (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and Stock Market Forecasting Methods (2 papers). Amit Sinha is often cited by papers focused on Spam and Phishing Detection (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and Stock Market Forecasting Methods (2 papers). Amit Sinha collaborates with scholars based in India, Australia and Indonesia. Amit Sinha's co-authors include Suneet Gupta, Mohit Agarwal, Siddhartha Kumar Arjaria, Mohd Dilshad Ansari, Vijay Kumar Bohat, Deepak Garg, Harikesh Bahadur Singh, Amit Kant Pandit, Ankit Vidyarthi and Munesh Chandra Trivedi and has published in prestigious journals such as Multimedia Tools and Applications, Materials Today Proceedings and Cell Biochemistry and Function.

In The Last Decade

Amit Sinha

11 papers receiving 439 citations

Hit Papers

align trajectories

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.

ToLeD: Tomato Leaf Disease Detection using Convolution Neural Network

2020 400 citations Mohit Agarwal, Siddhartha Kumar Arjaria et al. Procedia Computer Science profile →

Peers

Amit Sinha

PS

AC

ECOLO

AI

CVPR

Siddhartha Kumar Arjaria India

D. Vydeki India

Sk Mahmudul Hassan India

Rajesh Yakkundimath India

Vandana B. Malode India

Endang Suryawati Indonesia

Shilpi Harnal India

Di Cai China

Halil Durmuş Türkiye

Wiqas Ghai India

Siddhartha Kumar Arjaria India

Amit Sinha

388 ×0.9

PS

141 ×1.0

AC

54 ×1.2

ECOLO

97 ×2.3

AI

29 ×1.3

CVPR

Citations per year, relative to Amit Sinha Amit Sinha (= 1×) peers Siddhartha Kumar Arjaria

Countries citing papers authored by Amit Sinha

Since Specialization

Citations

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

Fields of papers citing papers by Amit Sinha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Sinha

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

All Works

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12 of 12 papers shown

1.

Sinha, Amit, et al.. (2025). A novel deep learning model for stock market prediction using a sentiment analysis system from authoritative financial website’s data. Connection Science. 37(1). 1 indexed citations

2.

Sinha, Amit, et al.. (2024). Review of computer‐assisted diagnosis model to classify follicular lymphoma histology. Cell Biochemistry and Function. 42(5). e4088–e4088. 2 indexed citations

3.

Singh, Sanjay Kumar, Amit Sinha, Harikesh Bahadur Singh, et al.. (2023). A novel deep learning-based technique for detecting prostate cancer in MRI images. Multimedia Tools and Applications. 83(5). 14173–14187. 17 indexed citations

4.

Novita, Mega, et al.. (2023). Maternal Health Risk Classification - A Comparison between Algorithm Decision Tree and k-Nearest Neighbor (kNN). 507–511. 1 indexed citations

5.

Sinha, Amit, et al.. (2023). Cognitive Hybrid Deep Learning-based Multi-modal Sentiment Analysis for Online Product Reviews. ACM Transactions on Asian and Low-Resource Language Information Processing. 23(8). 1–14. 7 indexed citations

6.

Sinha, Amit, et al.. (2023). A Blockchain Framework for E-Voting. Multimedia Tools and Applications. 83(20). 58875–58889. 2 indexed citations

7.

Agarwal, Mohit, et al.. (2020). ToLeD: Tomato Leaf Disease Detection using Convolution Neural Network. Procedia Computer Science. 167. 293–301. 400 indexed citations breakdown →

8.

Trivedi, Munesh Chandra, et al.. (2020). Development of intelligent model for twitter sentiment analysis. Materials Today Proceedings. 33. 4515–4519. 5 indexed citations

9.

Agarwal, Mohit, Vijay Kumar Bohat, Mohd Dilshad Ansari, et al.. (2019). A Convolution Neural Network based approach to detect the disease in Corn Crop. 176–181. 41 indexed citations

10.

Sinha, Amit, et al.. (2017). An Approach Towards Automated Navigation of Vehicles Using Overhead Cameras. 23. 1–8. 4 indexed citations

11.

Pandey, Abhishek & Amit Sinha. (2016). An Analytical Approach to Check the Development of any State in India. 1. 698–701. 1 indexed citations

12.

Sinha, Amit & A. K. Sinha. (2015). An Empirical Model of Gender Based Human Trait Identification from Blogs. 2. 694–698. 1 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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