A. Lakshmanarao

718 citations

74 papers · 348 indexed · h-index 9

Health Information Management top 2%
- Artificial Intelligence in Healthcare 11
Medical Laboratory Technology top 10%
Signal Processing top 10%
- Advanced Malware Detection Techniques 12
Information Systems top 5%
- Spam and Phishing Detection 10
Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining 3
Computer Networks and Communications
- Network Security and Intrusion Detection 14
Plant Science
- Smart Agriculture and AI 6
Radiology, Nuclear Medicine and Imaging
- COVID-19 diagnosis using AI 4
Accounting
- Financial Distress and Bankruptcy Prediction 4

Co-authors: S. Satyanarayana Shashi Kant Mishra Shashi Mesapam P V V S Srinivas Permanand Mohan M. S. Sridhar Amrita Kumari Priyanka Kumari
Cited by: Health Information Management Medical Laboratory Technology Signal Processing
Journals: Swarm and Evolutionary Computation (1 paper)International Journal of Interactive Mobile Technologies (iJIM) (1 paper)International Journal of Online and Biomedical Engineering (iJOE) (2 papers)
Partner nations: India Nepal Italy

In The Last Decade

A. Lakshmanarao

47 papers receiving 301 citations

Peers

Countries citing papers authored by A. Lakshmanarao

Since Specialization

Citations

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

Fields of papers citing papers by A. Lakshmanarao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 13 scholars most cited alongside A. Lakshmanarao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A. Lakshmanarao Line = papers co-authored together A. Lakshmanarao links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	An Efficient License Plate Recognition Model Through Deep Learning Integration with YOLO and OCR Techniques N. Supriya,Dukuru Chiranjevi,Md Imam Khader Shariff,B. R. S. S. Sowjanya,Venkata Subbaiah Desanamukula,A. Lakshmanarao	2024	0
2	Lung cancer detection using hybrid integration of autoencoder feature extraction and ML techniques Indonesian Journal of Electrical Engineering and Computer Science ·A. Lakshmanarao,N Venu Gopal.,Nagagopiraju Vullam,M. S. Sridhar,M. Krishna Kanth,Uma Maheswari Rayudu	2024	0
3	Smart Tool for Streamlining Mutual Fund Insights through Efficient Data Analysis from Financial News A. Lakshmanarao,A. Hani Ganga Bhavani,I. Kartheek,K. Laxmivineela,Y. Nischala	2024	1
4	Medicinal Plant Classification Using Transfer Learning Through Hybrid Machine Learning and Image Processing Techniques A. Lakshmanarao,Pathuri Sudeep Kumar,Dighvijay Singh Chauhan,M Venkat,Shubham Kumar Raj	2024	1
5	An efficient smart grid stability prediction system based on machine learning and deep learning fusion model Indonesian Journal of Electrical Engineering and Computer Science ·A. Lakshmanarao,A. Srisaila,T. Srinivasa Ravi Kiran,Kamathamu Vasanth Kumar,Chandra Sekhar Koppireddy	2024	3
6	A Novel Hybrid Approach Integrating Machine Learning and ANN for Stroke Risk Assessment Nagagopiraju Vullam,S. Jagadeesh,K.Siva Pavani,Maddala Janakidevi,A. Lakshmanarao,Y S N Chandreswari	2024	0
7	An Efficient Churn Prediction model using ML supervised and semi supervised Learning Techniques Ch Kavitha,Geeta Tripathi,Rayavarapu Sridivya,V Yamuna,N. Supriya,A. Lakshmanarao	2024	0
8	Exploring Deep Learning Approaches for News Classification with CNNs, RNNs and Transformers Gowripushpa Geddam,Gangu Dharmaraju,Gottala Parameswara Kumar,Mahesh Babu Ketha,A. Lakshmanarao	2024	0
9	A Robust Anomaly Detection Framework Utilizing Feature Engineering and Ensemble Techniques with BETH Data K. Neeraja,T. Prabhakara Rao,Peluru Janardhana Rao,Raja Rao PBV,G. Jose Moses,A. Lakshmanarao	2024	1
10	A Hybrid CNN-RNN Model for Enhanced Pneumonia Detection using X-Ray Imaging Amanulla Mohammad,G. Suryakala Eswari,Priyanka Kumari,A. Lakshmanarao,D. Chandra Mouli	2024	1
11	An Efficient Deep Learning framework with CNN and RBM for Native Speech to Text Translation S. Neelima,Kalyankumar Dasari,A. Lakshmanarao,Peluru Janardhana Rao,Madhan Kumar Jetty	2024	0
12	A Novel Approach to Skin Cancer Detection using CNN, ResNet, and Hybrid Feature Extraction T. Srinivasa Ravi Kiran,Y. Madhuri,P Venkata Bala Annapurna,A. Lakshmanarao,B.Suryanarayana Murthy	2024	0
13	Heart disease prediction using ML through enhanced feature engineering with association and correlation analysis Indonesian Journal of Electrical Engineering and Computer Science ·A. Lakshmanarao,T. V. Krishna,T. Srinivasa Ravi Kiran,Chinta Venkata Murali Krishna,S. Ushanag,N. Supriya	2024	2
14	Advanced Autism Spectrum Disorder Detection with Hybrid Image Features and Machine Learning Models Chinnari Mrudula Pothula,Sivajyohi Barla,Nagagopiraju Vullam,G. Menaka,A. Lakshmanarao,M. V. V. S. Subrahmanyam	2024	0
15	An Efficient Model for Brain Tumor Classification Through Transfer Learning Approaches Yerakamma Chapala,Rayavarapu Sridivya,Nagagopiraju Vullam,Vunnava Dinesh Babu,A. Lakshmanarao,Voruganti Pratyusha	2024	0
16	Exploring Socioeconomic Influences on Life Expectancy through Machine Learning Ensemble Regression Techniques Sowjanya Dangety,Kasani Vaddi Kasulu,G. Swetha,Zareena Begum,Krishna Mohan Bhashyam,A. Lakshmanarao	2024	0
17	An Efficient Medical Cost Prediction System with Machine Learning and Deep Learning Model G. Suryakala Eswari,I. Gayathri Devi,Charugulla Santhosh Kumar,Uma Ramesh,A. Lakshmanarao	2023	1
18	A Survey On Machine Learning For Cyber Security International journal of scientific and technology research ·A. Lakshmanarao,Shashi Mesapam	2020	10
19	Machine Learning Techniques For Heart Disease Prediction International journal of scientific and technology research ·A. Lakshmanarao,Y. Swathi,P.Sri Sai Sundareswar	2019	40
20	An Effective Multiple Linear Regression Model For Power Load Prediction Journal of Emerging Technologies and Innovative Research ·A. Lakshmanarao,G. Vijay Kumar,T. Srinivasa Ravi Kiran	2018	2

About A. Lakshmanarao

A. Lakshmanarao is a scholar working on Health Information Management, Signal Processing and Information Systems, having authored 74 papers that have together received 348 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (14 papers), Advanced Malware Detection Techniques (12 papers), Artificial Intelligence in Healthcare (11 papers), Spam and Phishing Detection (10 papers), Smart Agriculture and AI (6 papers), COVID-19 diagnosis using AI (4 papers), Financial Distress and Bankruptcy Prediction (4 papers) and Sentiment Analysis and Opinion Mining (3 papers). The work is most often cited by research in Health Information Management (70 citations), Medical Laboratory Technology (12 citations) and Signal Processing (69 citations). A. Lakshmanarao has collaborated with scholars based in India, Nepal and Italy. Frequent co-authors include S. Satyanarayana, Shashi Kant Mishra, Shashi Mesapam, P V V S Srinivas, Permanand Mohan, M. S. Sridhar, Amrita Kumari, Priyanka Kumari, G. R. Reddy and C. Prakash. Their work appears in journals such as Swarm and Evolutionary Computation, International Journal of Interactive Mobile Technologies (iJIM) and International Journal of Online and Biomedical Engineering (iJOE).

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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