G. Jothi

980 total citations · 1 hit paper
20 papers, 629 citations indexed

About

G. Jothi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, G. Jothi has authored 20 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 5 papers in Information Systems. Recurrent topics in G. Jothi's work include Rough Sets and Fuzzy Logic (5 papers), Digital Imaging for Blood Diseases (4 papers) and Machine Learning in Bioinformatics (3 papers). G. Jothi is often cited by papers focused on Rough Sets and Fuzzy Logic (5 papers), Digital Imaging for Blood Diseases (4 papers) and Machine Learning in Bioinformatics (3 papers). G. Jothi collaborates with scholars based in India, Egypt and Saudi Arabia. G. Jothi's co-authors include Ahmad Taher Azar, H. Hannah Inbarani, J. Akilandeswari, Nashwa Ahmad Kamal, Shrooq Alsenan, Aboul Ella Hassanien, Basit Qureshi, Khaled M. Fouad, R. S. Sabeenian and M. E. Paramasivam and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Soft Computing and Computer Methods and Programs in Biomedicine.

In The Last Decade

G. Jothi

20 papers receiving 585 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.

Supervised hybrid feature selection based on PSO and rough sets for medical diagnosis

2013 230 citations H. Hannah Inbarani, Ahmad Taher Azar et al. Computer Methods and Programs in Biomedicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
G. Jothi India	11	332	211	174	104	85	20	629
H. Hannah Inbarani India	15	463 1.4×	207 1.0×	404 2.3×	211 2.0×	103 1.2×	49	1.0k
Neveen I. Ghali Egypt	15	230 0.7×	288 1.4×	35 0.2×	76 0.7×	83 1.0×	56	594
Ritam Guha India	12	404 1.2×	164 0.8×	87 0.5×	67 0.6×	28 0.3×	24	594
Hossein Nematzadeh Iran	14	371 1.1×	307 1.5×	79 0.5×	62 0.6×	19 0.2×	31	688
Shyr-Shen Yu Taiwan	13	326 1.0×	280 1.3×	136 0.8×	32 0.3×	140 1.6×	79	715
Jinjie Huang China	11	307 0.9×	138 0.7×	62 0.4×	46 0.4×	47 0.6×	43	565
Mohammad H. Alshayeji Kuwait	13	192 0.6×	154 0.7×	17 0.1×	108 1.0×	118 1.4×	43	509
Salima Ouadfel Algeria	13	287 0.9×	200 0.9×	41 0.2×	28 0.3×	29 0.3×	27	530
Hengrong Ju China	14	351 1.1×	179 0.8×	405 2.3×	220 2.1×	48 0.6×	53	648
Shangzhu Jin China	12	228 0.7×	142 0.7×	87 0.5×	43 0.4×	21 0.2×	57	427

Countries citing papers authored by G. Jothi

Since Specialization

Citations

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

Fields of papers citing papers by G. Jothi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Jothi

This figure shows the co-authorship network connecting the top 25 collaborators of G. Jothi. A scholar is included among the top collaborators of G. 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 G. Jothi. G. Jothi 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

Jothi, G., et al.. (2024). Medical Data NER and Classification Using Hybridized BERT Model. World Journal of Advanced Engineering Technology and Sciences. 13(1). 40–47. 1 indexed citations

Azar, Ahmad Taher, Mohamed Tounsi, Suliman Mohamed Fati, et al.. (2023). Automated System for Colon Cancer Detection and Segmentation Based on Deep Learning Techniques. International Journal of Sociotechnology and Knowledge Development. 15(1). 1–28. 16 indexed citations

Jothi, G., Ahmad Taher Azar, Shrooq Alsenan, et al.. (2022). Deep Learning Reader for Visually Impaired. Electronics. 11(20). 3335–3335. 28 indexed citations

Akilandeswari, J., et al.. (2022). Design and development of an indoor navigation system using denoising autoencoder based convolutional neural network for visually impaired people. Multimedia Tools and Applications. 81(3). 3483–3514. 19 indexed citations

Akilandeswari, J., et al.. (2022). Hybrid Firefly-Ontology-Based Clustering Algorithm for Analyzing Tweets to Extract Causal Factors. International Journal on Semantic Web and Information Systems. 18(1). 1–27. 2 indexed citations

Mohanraj, V., et al.. (2021). A COMPARISON OF MISSING DATA HANDLING TECHNIQUES. SHILAP Revista de lepidopterología. 11(4). 2433–2437. 2 indexed citations

Jothi, G., et al.. (2021). Modified Dominance-Based Soft Set Approach for Feature Selection. International Journal of Sociotechnology and Knowledge Development. 14(1). 1–20. 7 indexed citations

Jothi, G., et al.. (2020). A Comparative Study of Feature Detection Techniques for Navigation of Visually Impaired Person in an Indoor Environment. Journal of Computational and Theoretical Nanoscience. 17(1). 21–26. 2 indexed citations

Jothi, G., H. Hannah Inbarani, Ahmad Taher Azar, et al.. (2020). Improved Dominance Soft Set Based Decision Rules with Pruning for Leukemia Image Classification. Electronics. 9(5). 794–794. 13 indexed citations

10.

Azar, Ahmad Taher, et al.. (2020). Leukemia Image Segmentation Using a Hybrid Histogram-Based Soft Covering Rough K-Means Clustering Algorithm. Electronics. 9(1). 188–188. 52 indexed citations

11.

Akilandeswari, J. & G. Jothi. (2018). Sentiment Classification of Tweets with Non-Language Features. Procedia Computer Science. 143. 426–433. 20 indexed citations

12.

Jothi, G., et al.. (2018). Rough set theory with Jaya optimization for acute lymphoblastic leukemia classification. Neural Computing and Applications. 31(9). 5175–5194. 63 indexed citations

13.

Jothi, G. & H. Hannah Inbarani. (2017). Leukemia Nucleus Image Segmentation Using Covering-Based Rough K-Means Clustering Algorithm. SSRN Electronic Journal. 1 indexed citations

14.

Jothi, G., et al.. (2017). Performance Comparison of Machine Learning Algorithms that Predicts Studentss Employability. SSRN Electronic Journal. 6 indexed citations

15.

Jothi, G., et al.. (2016). Hybrid Tolerance Rough Set–Firefly based supervised feature selection for MRI brain tumor image classification. Applied Soft Computing. 46. 639–651. 115 indexed citations

16.

Jothi, G., et al.. (2016). Mining frequent patterns without tree generation. International Journal of Data Mining Modelling and Management. 8(3). 265–265. 1 indexed citations

17.

Inbarani, H. Hannah, Ahmad Taher Azar, & G. Jothi. (2013). Supervised hybrid feature selection based on PSO and rough sets for medical diagnosis. Computer Methods and Programs in Biomedicine. 113(1). 175–185. 230 indexed citations breakdown →

18.

Jothi, G., H. Hannah Inbarani, & Ahmad Taher Azar. (2013). Hybrid Tolerance Rough Set. International Journal of Fuzzy System Applications. 3(4). 15–30. 36 indexed citations

19.

Jothi, G. & H. Hannah Inbarani. (2012). Soft set based quick reduct approach for unsupervised feature selection. 5009. 277–281. 10 indexed citations

20.

Nallaperumal, Krishnan, et al.. (2004). Recognition of Non-symmetric Faces Using Principal Component Analysis.. 467–472. 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.

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