Jatinder Manhas

850 total citations
32 papers, 475 citations indexed

About

Jatinder Manhas is a scholar working on Artificial Intelligence, Health Information Management and Information Systems. According to data from OpenAlex, Jatinder Manhas has authored 32 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 8 papers in Health Information Management and 7 papers in Information Systems. Recurrent topics in Jatinder Manhas's work include Artificial Intelligence in Healthcare (8 papers), AI in cancer detection (7 papers) and Web Applications and Data Management (4 papers). Jatinder Manhas is often cited by papers focused on Artificial Intelligence in Healthcare (8 papers), AI in cancer detection (7 papers) and Web Applications and Data Management (4 papers). Jatinder Manhas collaborates with scholars based in India and Saudi Arabia. Jatinder Manhas's co-authors include Vinod Sharma, Sparsh Sharma, Abid Sarwar, Partha Pratim Roy, Mandeep Kaur, Tasleem Arif, Mubashir Hussain, Majid Bashir Malik, Deepika Koundal and Inderpal Singh and has published in prestigious journals such as Artificial Intelligence Review, Archives of Computational Methods in Engineering and Computers & Electrical Engineering.

In The Last Decade

Jatinder Manhas

29 papers receiving 452 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jatinder Manhas India 12 186 103 69 66 62 32 475
Chetna Kaushal India 11 205 1.1× 105 1.0× 92 1.3× 25 0.4× 48 0.8× 44 439
Andrea Loddo Italy 13 176 0.9× 142 1.4× 287 4.2× 169 2.6× 33 0.5× 39 622
G. Gopakumar India 9 77 0.4× 51 0.5× 157 2.3× 46 0.7× 18 0.3× 32 290
Kangkana Bora India 11 302 1.6× 158 1.5× 159 2.3× 83 1.3× 13 0.2× 31 511
Amr A. Sharawi Egypt 9 134 0.7× 109 1.1× 188 2.7× 27 0.4× 13 0.2× 23 378
A. Murugan India 8 218 1.2× 34 0.3× 73 1.1× 50 0.8× 26 0.4× 24 462
Siow‐Wee Chang Malaysia 15 176 0.9× 97 0.9× 57 0.8× 199 3.0× 55 0.9× 28 775
Esti Suryani Indonesia 11 121 0.7× 79 0.8× 155 2.2× 46 0.7× 49 0.8× 73 362
Sonali Mishra India 7 156 0.8× 98 1.0× 231 3.3× 50 0.8× 19 0.3× 11 338
Esraa Hassan Egypt 14 139 0.7× 108 1.0× 123 1.8× 46 0.7× 32 0.5× 38 474

Countries citing papers authored by Jatinder Manhas

Since Specialization
Citations

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

Fields of papers citing papers by Jatinder Manhas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jatinder Manhas

This figure shows the co-authorship network connecting the top 25 collaborators of Jatinder Manhas. A scholar is included among the top collaborators of Jatinder Manhas 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 Jatinder Manhas. Jatinder Manhas 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.
2.
Gupta, Nitin, et al.. (2023). Bagged based ensemble model to predict thyroid disorder using linear discriminant analysis with SMOTE. Research on Biomedical Engineering. 39(3). 733–746. 3 indexed citations
3.
Manhas, Jatinder, et al.. (2023). Hybrid optimization-based deep learning classifier for sentiment classification using review data. Social Network Analysis and Mining. 13(1). 3 indexed citations
4.
5.
Manhas, Jatinder, et al.. (2023). Optimization-enabled deep learning for sentiment rating prediction using review data. Service Oriented Computing and Applications. 17(1). 39–58. 2 indexed citations
6.
Arif, Tasleem, et al.. (2022). Advances Towards Automatic Detection and Classification of Parasites Microscopic Images Using Deep Convolutional Neural Network: Methods, Models and Research Directions. Archives of Computational Methods in Engineering. 30(3). 2013–2039. 24 indexed citations
7.
Manhas, Jatinder, et al.. (2021). Performance Evaluation of SVM and Random Forest for the Diagnosis of Thyroid Disorder. International Journal for Research in Applied Science and Engineering Technology. 9(5). 945–947. 11 indexed citations
8.
Manhas, Jatinder, et al.. (2021). A Review on Automated Cancer Detection in Medical Images using Machine Learning and Deep Learning based Computational Techniques: Challenges and Opportunities. Archives of Computational Methods in Engineering. 29(5). 2893–2933. 41 indexed citations
9.
Manhas, Jatinder, et al.. (2021). Machine Learning and Deep Learning Based Computational Approaches in Automatic Microorganisms Image Recognition: Methodologies, Challenges, and Developments. Archives of Computational Methods in Engineering. 29(3). 1801–1837. 78 indexed citations
10.
Arif, Tasleem, et al.. (2021). Automated Bacterial Classifications Using Machine Learning Based Computational Techniques: Architectures, Challenges and Open Research Issues. Archives of Computational Methods in Engineering. 29(4). 2469–2490. 31 indexed citations
11.
Singh, Inderpal, et al.. (2021). Exploring Artificial Intelligence in Drug Discovery: A Comprehensive Review. Archives of Computational Methods in Engineering. 29(4). 2513–2529. 10 indexed citations
12.
Manhas, Jatinder, et al.. (2019). Brief Paper: Evaluation of Subtractive Clustering based Adaptive Neuro-Fuzzy Inference System with Fuzzy C-Means based ANFIS System in Diagnosis of Alzheimer. Journal of Multimedia Information System. 6(2). 87–90. 8 indexed citations
13.
Manhas, Jatinder, et al.. (2019). Evaluation of Adaptive Neuro-Fuzzy Inference System with Artificial Neural Network and Fuzzy Logic in Diagnosis of Alzheimer Disease. International Conference on Computing for Sustainable Global Development. 1041–1046. 4 indexed citations
14.
Manhas, Jatinder, et al.. (2019). Comparative Study to Measure the Performance of Commonly Used Machine Learning Algorithms in Diagnosis of Alzheimer’s Disease. Journal of Multimedia Information System. 6(2). 75–80. 3 indexed citations
15.
Sarwar, Abid, et al.. (2018). Diagnosis of diabetes type-II using hybrid machine learning based ensemble model. International Journal of Information Technology. 12(2). 419–428. 57 indexed citations
16.
Manhas, Jatinder. (2015). Design and development of automated tool to study sitemap as design issue in Websites. International Conference on Computing for Sustainable Global Development. 514–518. 1 indexed citations
17.
Manhas, Jatinder. (2015). A Comparative Study of Design and Development Issues in Various Websites. Shodhganga.
18.
Manhas, Jatinder. (2014). Comparative Study of Website Sitemap Feature as Design Issue in Various Websites. International Journal of Engineering and Manufacturing. 4(3). 22–28. 2 indexed citations
19.
Manhas, Jatinder. (2014). Comparative Study of Website Page Size as Design Issue in Various Websites. International Journal of Information Engineering and Electronic Business. 6(6). 33–39. 1 indexed citations
20.
Manhas, Jatinder, et al.. (2012). A Case Study of Color Combination Issues in Various Websites. International Journal of Computer Applications. 48(25). 15–17. 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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