M. Hema

533 total citations
46 papers, 292 citations indexed

About

M. Hema is a scholar working on Computer Networks and Communications, Artificial Intelligence and Neurology. According to data from OpenAlex, M. Hema has authored 46 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 9 papers in Artificial Intelligence and 6 papers in Neurology. Recurrent topics in M. Hema's work include Parkinson's Disease Mechanisms and Treatments (6 papers), Network Security and Intrusion Detection (5 papers) and IoT and Edge/Fog Computing (5 papers). M. Hema is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (6 papers), Network Security and Intrusion Detection (5 papers) and IoT and Edge/Fog Computing (5 papers). M. Hema collaborates with scholars based in India and United States. M. Hema's co-authors include Sanjay Gupta, P. Indira Devi, K. S. Reddy, V. Ravi, Ranjit Kumar, P. Ajay, Aditi Sharma, V. Balaji, M. Ramkumar Raja and Mohamed Mohana and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Applied Soft Computing.

In The Last Decade

M. Hema

39 papers receiving 266 citations

Peers

M. Hema
Purvi Prajapati India
Kaushik Sekaran India
Salman Mahmood Oman
Mohammod Abul Kashem Bangladesh
Leila Jamel Saudi Arabia
Sulaima Lebbe Abdul Haleem India
Atifa Athar Pakistan
Faheem Ahmad Reegu Saudi Arabia
Mrinal Pandey India
Ruchi Doshi India
Purvi Prajapati India
M. Hema
Citations per year, relative to M. Hema M. Hema (= 1×) peers Purvi Prajapati

Countries citing papers authored by M. Hema

Since Specialization
Citations

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

Fields of papers citing papers by M. Hema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. Hema. A scholar is included among the top collaborators of M. Hema 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. Hema. M. Hema 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.
Hema, M., et al.. (2025). A hierarchical transformer network with label attention for personality prediction by MBTI classification. Applied Soft Computing. 178. 113267–113267.
2.
Hema, M., et al.. (2024). An improved approach for early diagnosis of Parkinson’s disease using advanced DL models and image alignment. Automatika. 65(3). 911–924. 7 indexed citations
3.
4.
Balaji, V., et al.. (2024). Design of adaptive recommendation system for autism children using optimal feature selection-based adaptive dilated 1DCNN-LSTM with attention mechanism. Expert Systems with Applications. 262. 125399–125399. 2 indexed citations
5.
Hema, M., et al.. (2023). Prediction analysis for Parkinson disease using multiple feature selection & classification methods. Multimedia Tools and Applications. 82(27). 42995–43012. 20 indexed citations
6.
Ajay, P., et al.. (2023). Real Time Object Detection based on RCNN Technique. 698–702. 8 indexed citations
7.
Hema, M., et al.. (2022). Towards an effective deep learning-based intrusion detection system in the internet of things. SHILAP Revista de lepidopterología. 7. 100009–100009. 22 indexed citations
8.
Hema, M., et al.. (2022). Towards an Effective Deep Learning-Based Intrusion Detection System in the Internet of Things. SSRN Electronic Journal. 3 indexed citations
9.
Hema, M., et al.. (2021). Plant disease prediction using convolutional neural network. SHILAP Revista de lepidopterología. 9(2). 283–293. 7 indexed citations
10.
Hema, M., et al.. (2021). A Survey on Automatic Abnormalities Monitoring System for Log Files using Machine Learning. Turkish Online Journal of Qualitative Inquiry. 12(6). 8386–8393. 14 indexed citations
11.
Hema, M., et al.. (2021). Energy Efficient Data Distribution on Cloud with Optimal Routing Path Based Congestion Control in WSN Environment. Journal of University of Shanghai for Science and Technology. 23(8). 421–436. 1 indexed citations
12.
Hema, M., et al.. (2019). A Recapitalization on Cryptojacking and end to end Analysis of Ransomware Attacks. International Journal of Engineering and Advanced Technology. 8(6s3). 1582–1587.
13.
Hema, M., et al.. (2019). GAIT BASED HUMAN AGE CLASSIFICATION USING RANDOM FOREST CLASSIFIER. 6(2). 1–1. 1 indexed citations
14.
Hema, M., et al.. (2019). Machine Learning Techniques for Prediction of Parkinson’s Disease using Big Data. International Journal of Innovative Technology and Exploring Engineering. 8(10). 3788–3791. 4 indexed citations
15.
Hema, M., et al.. (2018). ASSESSING GENERAL INTELLIGENCE IN INFLUENCING PERFORMANCE OF MATHEMATICS. i-manager’s Journal on Educational Psychology. 12(1). 19–19. 1 indexed citations
16.
Hema, M., et al.. (2017). EFFECTS OF MULTIMEDIA INSTRUCTIONAL STRATEGY FOR ENHANCING STUDENTS' LEARNING AND RETENTION IN MATHEMATICS. i-manager s Journal on School Educational Technology. 13(2). 7–7. 5 indexed citations
17.
Hema, M., et al.. (2016). Data fusion in data federation using modified discriminative Markov logic networks. International Journal of ADVANCED AND APPLIED SCIENCES. 3(8). 78–84. 14 indexed citations
18.
Hema, M., et al.. (2013). Inter-regional variations and future household demand and production of major spices in India. Journal of Spices and Aromatic Crops. 22(1). 47–54. 1 indexed citations
19.
Srivastava, S. K., et al.. (2011). Demand and supply of major spices in India: a regional analysis.. 13(4). 26–42.
20.
Hema, M., et al.. (2007). Volatile Price and Declining Profitability of Black Pepper in India: Disquieting Future. Agricultural Economics Research Review. 20(1). 180–180. 6 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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