Vinay Singh

1.4k total citations · 1 hit paper
26 papers, 789 citations indexed

About

Vinay Singh is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Vinay Singh has authored 26 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Information Systems and 5 papers in Management Science and Operations Research. Recurrent topics in Vinay Singh's work include Software Reliability and Analysis Research (3 papers), Software Engineering Research (3 papers) and Sentiment Analysis and Opinion Mining (3 papers). Vinay Singh is often cited by papers focused on Software Reliability and Analysis Research (3 papers), Software Engineering Research (3 papers) and Sentiment Analysis and Opinion Mining (3 papers). Vinay Singh collaborates with scholars based in India, Germany and Taiwan. Vinay Singh's co-authors include Arpan Kumar Kar, Manish Shrivastava, Deepanshu Vijay, Syed Sarfaraz Akhtar, Sanjeev Sharma, Agam Gupta, Shiuann-Shuoh Chen, Ayush Agrawal, Rajeev Kumar Gupta and Bhaskar Choubey and has published in prestigious journals such as Journal of Cleaner Production, Journal of Retailing and Consumer Services and Journal of Food Science and Technology.

In The Last Decade

Vinay Singh

26 papers receiving 742 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.

How can artificial intelligence impact sustainability: A systematic literature review

2022 181 citations Arpan Kumar Kar, Vinay Singh et al. Journal of Cleaner Production profile →

Peers

Vinay Singh

AI

IS

MSOR

MARKE

CNC

Gurinder Singh India

Ayman E. Khedr Egypt

Isti Surjandari Indonesia

Mohd Naved India

Edwin Ramirez-Asís Peru

Olawande Daramola Nigeria

Pedro Sampaio United Kingdom

Shaha Al‐Otaibi Saudi Arabia

Patricia Anthony Malaysia

Bilal Abu-Salih Jordan

Gurinder Singh India

Vinay Singh

183 ×0.5

AI

155 ×1.2

IS

73 ×0.9

MSOR

65 ×0.9

MARKE

68 ×1.0

CNC

Citations per year, relative to Vinay Singh Vinay Singh (= 1×) peers Gurinder Singh

Countries citing papers authored by Vinay Singh

Since Specialization

Citations

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

Fields of papers citing papers by Vinay Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vinay Singh

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Singh, Vinay, et al.. (2024). Liquidity forecasting at corporate and subsidiary levels using machine learning. Intelligent systems in accounting, finance and management. 31(3). 1 indexed citations

2.

Gupta, Agam, et al.. (2023). An Automatic Deep Reinforcement Learning Based Credit Scoring Model using Deep-Q Network for Classification of Customer Credit Requests. 1–8. 2 indexed citations

3.

Singh, Vinay & Sanjeev Sharma. (2022). Application of blockchain technology in shaping the future of food industry based on transparency and consumer trust. Journal of Food Science and Technology. 60(4). 1237–1254. 58 indexed citations

4.

Singh, Vinay, et al.. (2022). When to choose ranked area integrals versus integrated gradient for explainable artificial intelligence – a comparison of algorithms. Benchmarking An International Journal. 30(9). 3067–3089. 8 indexed citations

5.

Kar, Arpan Kumar, et al.. (2022). How can artificial intelligence impact sustainability: A systematic literature review. Journal of Cleaner Production. 376. 134120–134120. 181 indexed citations breakdown →

6.

Singh, Vinay, et al.. (2022). How to Maximize Clicks for Display Advertisement in Digital Marketing? A Reinforcement Learning Approach. Information Systems Frontiers. 25(4). 1621–1638. 36 indexed citations

7.

Choubey, Bhaskar, et al.. (2021). A neural network based price sensitive recommender model to predict customer choices based on price effect. Journal of Retailing and Consumer Services. 61. 102573–102573. 27 indexed citations

8.

Singh, Vinay, et al.. (2020). Mitral Valve Abnormality Detection by fully end to end with Deep Neural Network. International Journal of Engineering and Advanced Technology. 9(3). 1997–2004. 1 indexed citations

9.

Singh, Vinay, et al.. (2019). Corpus Creation and Analysis for Named Entity Recognition in Telugu-English Code-Mixed Social Media Data. 183–189. 8 indexed citations

10.

Vijay, Deepanshu, et al.. (2018). A Dataset of Hindi-English Code-Mixed Social Media Text for Hate Speech Detection. 36–41. 156 indexed citations

11.

Vijay, Deepanshu, et al.. (2018). Corpus Creation and Emotion Prediction for Hindi-English Code-Mixed Social Media Text. 128–135. 32 indexed citations

12.

Singh, Vinay, et al.. (2018). Aggression Detection on Social Media Text Using Deep Neural Networks. 26 indexed citations

13.

Singh, Vinay, Deepanshu Vijay, Syed Sarfaraz Akhtar, & Manish Shrivastava. (2018). Named Entity Recognition for Hindi-English Code-Mixed Social Media Text. 27–35. 35 indexed citations

14.

Vijay, Deepanshu, et al.. (2018). A Dataset for Detecting Irony in Hindi-English Code-Mixed Social Media Text.. 38–46. 9 indexed citations

15.

Singh, Vinay, et al.. (2017). A Modified de Zwart's Framework to Differentiate between Unintended and Unanticipated Consequences of Public Policies. SSRN Electronic Journal. 1 indexed citations

16.

Singh, Vinay & Vandana Bhattacharjee. (2015). Assessing Package Reusability in Object-Oriented Design. 2 indexed citations

17.

Singh, Vinay & Vandana Bhattacherjee. (2014). A New Measure of Code Complexity during Software Evolution: 'A Case Study'. International Journal of Multimedia and Ubiquitous Engineering. 9(7). 403–414. 1 indexed citations

18.

Singh, Vinay, et al.. (2013). A SURVEY BASED STUDY IN CURRENT SCENARIO OF GENERIC AND BRANDED MEDICINES. 18 indexed citations

19.

Singh, Vinay & Vandana Bhattacherjee. (2012). Evaluation and Application of Package Level Metrics in Assessing Software Quality. International Journal of Computer Applications. 58(21). 38–47. 5 indexed citations

20.

Singh, Vinay, et al.. (2012). An analysis of dependency of coupling on software defects. ACM SIGSOFT Software Engineering Notes. 37(1). 1–6. 5 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.

Explore authors with similar magnitude of impact