Neesha Jothi

441 total citations
17 papers, 240 citations indexed

About

Neesha Jothi is a scholar working on Artificial Intelligence, Information Systems and Health Information Management. According to data from OpenAlex, Neesha Jothi has authored 17 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Information Systems and 3 papers in Health Information Management. Recurrent topics in Neesha Jothi's work include Artificial Intelligence in Healthcare (3 papers), Imbalanced Data Classification Techniques (3 papers) and Mental Health Research Topics (3 papers). Neesha Jothi is often cited by papers focused on Artificial Intelligence in Healthcare (3 papers), Imbalanced Data Classification Techniques (3 papers) and Mental Health Research Topics (3 papers). Neesha Jothi collaborates with scholars based in Malaysia, Czechia and Cambodia. Neesha Jothi's co-authors include Wahidah Husain, Nur’Aini Abdul Rashid, Nasriah Zakaria, Sook Fern Yeo, Halimah Badioze Zaman, Praveen Kumar, S.N. Nazrin, Norrima Mokhtar, Shayla Islam and Meenal Vyas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Infection and Public Health and Jurnal Teknologi.

In The Last Decade

Neesha Jothi

12 papers receiving 231 citations

Peers

Neesha Jothi
Mário W. L. Moreira Brazil
Anees Baqir Italy
Flávio Luiz Seixas Brazil
Fazle Rabbi Norway
El-Sayed Atlam Saudi Arabia
Randall A. Brown United States
Muhammad Adnan Pakistan
N. Maglaveras Greece
Zahra Shakeri Hossein Abad Canada
Samir El‐Masri Saudi Arabia
Mário W. L. Moreira Brazil
Neesha Jothi
Citations per year, relative to Neesha Jothi Neesha Jothi (= 1×) peers Mário W. L. Moreira

Countries citing papers authored by Neesha Jothi

Since Specialization
Citations

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

Fields of papers citing papers by Neesha Jothi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neesha Jothi

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

All Works

17 of 17 papers shown
1.
Nazrin, S.N., et al.. (2025). DeepForgery Images Detection Using Deep Learning Approaches and Error Level Analysis. JOIV International Journal on Informatics Visualization. 9(2). 528–528.
2.
Jothi, Neesha, et al.. (2024). GoHoliday: Development of An Improvised Mobile Application for Boutique Hotels and Resorts. SHILAP Revista de lepidopterología. 3(1). 192–209. 2 indexed citations
3.
Kumar, Praveen, et al.. (2024). Electric Vehicle Technology Opportunities and Challenges. 1722–1725.
4.
5.
Jothi, Neesha, et al.. (2023). Arduino Based Smart IoT Food Quality Monitoring System. Proceedings of International Conference on Artificial Life and Robotics. 28. 23–27.
6.
Jothi, Neesha, et al.. (2023). Development of an Automatic Allocation Parking System. Proceedings of International Conference on Artificial Life and Robotics. 28. 669–673.
7.
Mokhtar, Norrima, et al.. (2023). Development of IoT based Key Finder. Proceedings of International Conference on Artificial Life and Robotics. 28. 32–36. 1 indexed citations
8.
Jothi, Neesha, et al.. (2022). Hybrid Feature Selection using Shapley Value and ReliefF for Medical Datasets. 2015. 351–355. 2 indexed citations
9.
Jothi, Neesha, Wahidah Husain, & Nur’Aini Abdul Rashid. (2020). Predicting generalized anxiety disorder among women using Shapley value. Journal of Infection and Public Health. 14(1). 103–108. 20 indexed citations
10.
Jothi, Neesha, et al.. (2019). Feature Selection Method using Genetic Algorithm for Medical Dataset. International Journal on Advanced Science Engineering and Information Technology. 9(6). 1907–1912. 4 indexed citations
11.
Jothi, Neesha, et al.. (2018). Predicting generalised anxiety disorder among women using decision tree-based classification. International Journal of Business Information Systems. 29(1). 75–75. 1 indexed citations
12.
Husain, Wahidah, et al.. (2016). Predicting Generalized Anxiety Disorder among women using random forest approach. 37–42. 23 indexed citations
13.
Husain, Wahidah, et al.. (2016). M-DENGUE: UTILIZING CROWDSOURCING AND TELECONSULTATION FOR LOCATION-BASED DENGUE MONITORING AND REPORTING SYSTEM. Jurnal Teknologi. 78(9-3). 1 indexed citations
14.
Jothi, Neesha, Nur’Aini Abdul Rashid, & Wahidah Husain. (2015). Data Mining in Healthcare – A Review. Procedia Computer Science. 72. 306–313. 173 indexed citations
15.
Jothi, Neesha, Wahidah Husain, & Nasriah Zakaria. (2013). Application of Knowledge-Based System in Personalized Health Management Portal. 193–200. 2 indexed citations
16.
Husain, Wahidah, et al.. (2012). MyTourGuide.com: A Framework of a Location-Based services for tourism industry. 2009. 184–189. 6 indexed citations
17.

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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2026