M. Suresha

702 total citations
30 papers, 429 citations indexed

About

M. Suresha is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Plant Science. According to data from OpenAlex, M. Suresha has authored 30 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 8 papers in Plant Science. Recurrent topics in M. Suresha's work include Spectroscopy and Chemometric Analyses (8 papers), Smart Agriculture and AI (8 papers) and Vehicle License Plate Recognition (6 papers). M. Suresha is often cited by papers focused on Spectroscopy and Chemometric Analyses (8 papers), Smart Agriculture and AI (8 papers) and Vehicle License Plate Recognition (6 papers). M. Suresha collaborates with scholars based in India, Yemen and Australia. M. Suresha's co-authors include Jemal Abawajy, Mufeed Ahmed Naji Saif, Banjagere Veerabhadrappa Thirumalesh and Ajit Danti and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Artificial Intelligence Review.

In The Last Decade

M. Suresha

30 papers receiving 403 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Suresha India 13 170 109 106 83 75 30 429
Маниша Шарма India 11 213 1.3× 114 1.0× 185 1.7× 51 0.6× 209 2.8× 63 625
S. Domnic India 11 82 0.5× 123 1.1× 234 2.2× 44 0.5× 26 0.3× 59 509
Poonam Dhiman India 8 65 0.4× 249 2.3× 66 0.6× 120 1.4× 59 0.8× 14 498
Ebin Deni Raj India 10 166 1.0× 133 1.2× 50 0.5× 62 0.7× 99 1.3× 46 520
Venkatramaphanikumar Sistla India 10 122 0.7× 181 1.7× 74 0.7× 60 0.7× 40 0.5× 34 450
G. Geetha India 10 104 0.6× 51 0.5× 85 0.8× 20 0.2× 106 1.4× 53 349
Md Babul Islam Italy 14 144 0.8× 38 0.3× 40 0.4× 16 0.2× 33 0.4× 33 339
Sameerchand Pudaruth Mauritius 9 51 0.3× 192 1.8× 56 0.5× 98 1.2× 29 0.4× 57 441
Nisar Ali Canada 13 93 0.5× 36 0.3× 57 0.5× 12 0.1× 17 0.2× 33 309

Countries citing papers authored by M. Suresha

Since Specialization
Citations

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

Fields of papers citing papers by M. Suresha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Suresha

This figure shows the co-authorship network connecting the top 25 collaborators of M. Suresha. A scholar is included among the top collaborators of M. Suresha 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 M. Suresha. M. Suresha 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.
Suresha, M., et al.. (2022). Short text topic modelling approaches in the context of big data: taxonomy, survey, and analysis. Artificial Intelligence Review. 56(6). 5133–5260. 42 indexed citations
2.
Abawajy, Jemal, et al.. (2022). Enhancing Big Social Media Data Quality for Use in Short-Text Topic Modeling. IEEE Access. 10. 105328–105351. 17 indexed citations
3.
Abawajy, Jemal, et al.. (2022). DEA-RNN: A Hybrid Deep Learning Approach for Cyberbullying Detection in Twitter Social Media Platform. IEEE Access. 10. 25857–25871. 73 indexed citations
4.
Suresha, M., et al.. (2021). Kumaraswamy Distribution Based Bi-histogram Equalization for Enhancement of Microscopic Images. International Journal of Image and Graphics. 22(1). 3 indexed citations
5.
Suresha, M., et al.. (2021). Effective feature representation using symbolic approach for classification and clustering of big data. Expert Systems with Applications. 173. 114658–114658. 10 indexed citations
6.
Suresha, M., et al.. (2021). PointRend Segmentation for a Densely Occluded Moving Object in a Video. 282–287. 4 indexed citations
7.
Suresha, M., et al.. (2020). A study on deep learning spatiotemporal models and feature extraction techniques for video understanding. International Journal of Multimedia Information Retrieval. 9(2). 81–101. 23 indexed citations
8.
Suresha, M., et al.. (2020). Survey on Segmentation and Recognition of Handwritten Arabic Script. SN Computer Science. 1(4). 14 indexed citations
9.
Suresha, M., et al.. (2020). A Survey on Arabic Handwritten Character Recognition. SN Computer Science. 1(3). 14 indexed citations
10.
Suresha, M., et al.. (2020). Semantic Analysis Techniques using Twitter Datasets on Big Data: Comparative Analysis Study. Computer Systems Science and Engineering. 35(6). 495–512. 19 indexed citations
11.
Suresha, M., et al.. (2019). A collaboration of deadline and budget constraints for task scheduling in cloud computing. Cluster Computing. 23(2). 1073–1083. 15 indexed citations
12.
Suresha, M., et al.. (2019). Arabic Handwritten Character Recognition Using Machine Learning Approaches. 187–192. 9 indexed citations
13.
14.
Suresha, M., et al.. (2017). A Survey on Image Analysis based on Texture. International Journal of Advanced Research in Computer Science and Software Engineering. 7(6). 686–695. 2 indexed citations
15.
Suresha, M., et al.. (2017). An Enhanced Task Scheduling in Cloud Computing Based on Deadline-Aware Model. International Journal of Grid and High Performance Computing. 10(1). 31–53. 7 indexed citations
16.
Suresha, M., et al.. (2014). Classification of Diseased Arecanut based on Texture Features. 1–6. 7 indexed citations
17.
Danti, Ajit & M. Suresha. (2012). Arecanut grading based on three sigma controls and SVM. IEEE-International Conference On Advances In Engineering, Science And Management. 372–376. 9 indexed citations
18.
Suresha, M. & Ajit Danti. (2012). Construction of Co-occurrence Matrix using Gabor Wavelets for Classification of Arecanuts by Decision Trees. International Journal of Applied Information Systems. 4(6). 33–39. 5 indexed citations
19.
Danti, Ajit & M. Suresha. (2012). Texture based decision tree classification for Arecanut. 113–117. 12 indexed citations
20.
Suresha, M., et al.. (2012). Apples Grading based on SVM Classifier. 27–30. 18 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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