Neesha Jothi

32 total papers · 436 total citations
16 papers, 239 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 16 papers receiving a total of 239 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, Sook Fern Yeo, Nasriah Zakaria, Shayla Islam, Praveen Kumar and Norrima Mokhtar 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 230 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Neesha Jothi	99	76	53	21	19	16	239
Anees Baqir	138 1.4×	85 1.1×	39 0.7×	16 0.8×	7 0.4×	16	257
Fengyi Tang	156 1.6×	50 0.7×	22 0.4×	10 0.5×	13 0.7×	17	291
El-Sayed Atlam	149 1.5×	39 0.5×	37 0.7×	25 1.2×	5 0.3×	24	272
Surina He	86 0.9×	26 0.3×	26 0.5×	20 1.0×	17 0.9×	12	254
N. Maglaveras	67 0.7×	50 0.7×	52 1.0×	52 2.5×	18 0.9×	12	313
Randall A. Brown	109 1.1×	54 0.7×	24 0.5×	29 1.4×	14 0.7×	12	304
Samir El‐Masri	101 1.0×	106 1.4×	47 0.9×	38 1.8×	4 0.2×	19	277
Zahra Shakeri Hossein Abad	87 0.9×	13 0.2×	93 1.8×	15 0.7×	9 0.5×	20	275
Mohammad Adibuzzaman	46 0.5×	38 0.5×	23 0.4×	5 0.2×	15 0.8×	26	261
Aliyu Garba	36 0.4×	20 0.3×	33 0.6×	26 1.2×	11 0.6×	22	267

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

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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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