Manisha Aeri

646 total citations
71 papers, 215 citations indexed

About

Manisha Aeri is a scholar working on Plant Science, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Manisha Aeri has authored 71 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Plant Science, 12 papers in Computer Vision and Pattern Recognition and 10 papers in Artificial Intelligence. Recurrent topics in Manisha Aeri's work include Smart Agriculture and AI (22 papers), Spectroscopy and Chemometric Analyses (8 papers) and Plant Disease Management Techniques (6 papers). Manisha Aeri is often cited by papers focused on Smart Agriculture and AI (22 papers), Spectroscopy and Chemometric Analyses (8 papers) and Plant Disease Management Techniques (6 papers). Manisha Aeri collaborates with scholars based in India, United States and Cyprus. Manisha Aeri's co-authors include Vinay Kukreja, Shiva Mehta, Vikrant Sharma, Ramiz Salama, Satya Prakash Yadav, Fadi Al‐Turjman, Rishabh Sharma, N. Yuvaraj, Deepak Upadhyay and Fadi Al‐Turjman and has published in prestigious journals such as Measurement Sensors, Türk bilgisayar ve matematik eğitimi dergisi and 2022 IEEE Delhi Section Conference (DELCON).

In The Last Decade

Manisha Aeri

52 papers receiving 212 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Manisha Aeri India	7	46	38	28	25	22	71	215
Kireet Joshi India	8	61 1.3×	39 1.0×	36 1.3×	31 1.2×	20 0.9×	73	241
Naina Chaudhary India	7	20 0.4×	34 0.9×	27 1.0×	22 0.9×	27 1.2×	33	232
E. Naresh India	8	21 0.5×	47 1.2×	27 1.0×	25 1.0×	33 1.5×	45	178
Domenic T. Sanchez Philippines	7	86 1.9×	43 1.1×	15 0.5×	46 1.8×	22 1.0×	23	243
Rejwan Bin Sulaiman United Kingdom	8	33 0.7×	106 2.8×	22 0.8×	54 2.2×	17 0.8×	30	221
Rishika Yadav India	8	85 1.8×	51 1.3×	33 1.2×	17 0.7×	20 0.9×	29	279
Dibyahash Bordoloi India	8	49 1.1×	29 0.8×	20 0.7×	15 0.6×	25 1.1×	55	172
Dhananjay Bisen India	9	50 1.1×	66 1.7×	16 0.6×	15 0.6×	39 1.8×	26	269
Manika Manwal India	8	41 0.9×	34 0.9×	17 0.6×	11 0.4×	14 0.6×	75	171

Countries citing papers authored by Manisha Aeri

Since Specialization

Citations

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

Fields of papers citing papers by Manisha Aeri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manisha Aeri

This figure shows the co-authorship network connecting the top 25 collaborators of Manisha Aeri. A scholar is included among the top collaborators of Manisha Aeri 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 Manisha Aeri. Manisha Aeri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Kukreja, Vinay, et al.. (2024). An Integrated GoogleNet with Convolutional Neural Networks Model for Multiclass Bean Leaf Lesion Detection. 1–6. 3 indexed citations

2.

Sivakumaran, Dhanasekaran, et al.. (2024). Enhancing Network Security in Distributed Environments using Block Chain-based Solutions. 1–6. 1 indexed citations

3.

Upadhyay, Deepak, Manisha Aeri, Vinay Kukreja, & Rishabh Sharma. (2024). Improving Anthracnose Severity Grading in Green Beans through CNN-LSTM Integration. 1–4. 1 indexed citations

4.

Sivakumaran, Dhanasekaran, et al.. (2024). Utilizing Cloud Computing for Distributed Training of Deep Learning Models. 1–6. 8 indexed citations

5.

Aeri, Manisha, et al.. (2024). Machine Learning and AI in Tele-Communication Networks and Iota for Predictive Maintenance. 1–6. 4 indexed citations

6.

Kukreja, Vinay, et al.. (2024). An Advanced YOLOv7 Model for Vehicle Detection to Enhance the Security of Public Places. 213. 1–5. 2 indexed citations

7.

Upadhyay, Deepak, et al.. (2024). Optimizing Anthracnose Severity Grading in Green Beans with CNN-LSTM Integration. 1–5.

8.

Kanna, R. Kishore, et al.. (2024). Classification of Drone Detection Module using Hybrid Learning Algorithms. 672–676.

9.

Sharma, Rishabh, et al.. (2024). Integrating Convolutional Neural Networks and Random Forest for Accurate Grading of Rice Spot Disease Severity. 1–4. 2 indexed citations

10.

Singh, Sanjay Kumar, et al.. (2024). Patterns of Widespread Structural Abnormalities in Autism Spectrum Disorder using Diffusion Tensor Imaging. 691–696. 1 indexed citations

11.

Mishra, Amit Kumar, et al.. (2024). The Smart Sustainable Development of Automation Mobility in Industry 4.0 using IoT based Sensor Networks. 1714–1719.

12.

Kukreja, Vinay, et al.. (2024). Cricket's Computational Core: Enhanced Shot Classification with Convolutional Neural Networks And SVM. 1–6. 1 indexed citations

13.

Gupta, Adarsh, et al.. (2024). NeuroDetect: Advanced Parkinson’s Disease Identification Using Machine Learning Techniques. 1–6. 1 indexed citations

14.

Aeri, Manisha, et al.. (2024). Tomato Leaf Disease Detection: Deciphering Disease Severity with CNN-RF Intelligence. 1–6. 1 indexed citations

15.

Mehta, Shiva, et al.. (2024). Rhythmic Resonance: A New Era of Musical Instrument Categorization with CNN-SVM. 1–6. 1 indexed citations

16.

Aeri, Manisha, et al.. (2024). Automated Detection and Severity Levels Grading of Rice Spot Disease for Precision Crop Management. 1–5.

17.

Yuvaraj, N., et al.. (2024). Multi-Scale Object Detection and Classification using Machine Learning and Image Processing. 1–6. 9 indexed citations

18.

Sharma, Rishabh, et al.. (2024). Enhancing Anthracnose Severity Grading in Green Beans Through Integration of Deep Learning Models. 1–4. 1 indexed citations

19.

Salama, Ramiz, Fadi Al‐Turjman, Manisha Aeri, & Satya Prakash Yadav. (2023). Intelligent Hardware Solutions for COVID -19 and Alike Diagnosis - A survey. 10 indexed citations

20.

Sharma, Vikrant, Vinay Kukreja, Shiva Mehta, & Manisha Aeri. (2023). BananaLeafNet: Federated Learning CNNs for Multiclass Disease Identification in Banana Crops. 1–6. 1 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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