Vandana B. Malode

499 total citations · 1 hit paper
11 papers, 326 citations indexed

About

Vandana B. Malode is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Vandana B. Malode has authored 11 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Vandana B. Malode's work include Advanced Wireless Communication Techniques (2 papers), AI in cancer detection (2 papers) and Smart Agriculture and AI (2 papers). Vandana B. Malode is often cited by papers focused on Advanced Wireless Communication Techniques (2 papers), AI in cancer detection (2 papers) and Smart Agriculture and AI (2 papers). Vandana B. Malode collaborates with scholars based in India. Vandana B. Malode's co-authors include B. P. Patil and Sagar Rathod and has published in prestigious journals such as Artificial Intelligence in Agriculture, Advanced materials research and Pattern Recognition and Image Analysis.

In The Last Decade

Vandana B. Malode

10 papers receiving 290 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.

Transfer Learning for Multi-Crop Leaf Disease Image Classification using Convolutional Neural Network VGG

2022 265 citations Vandana B. Malode et al. Artificial Intelligence in Agriculture profile →

Peers

Vandana B. Malode

PS

AC

ECOLO

AI

CVPR

Sundar Anand India

R. Malmathanraj India

Vaibhav Tiwari India

N. Krishnamoorthy India

Hamdi Yalın Yalıç Türkiye

Di Cai China

Mukund Pratap Singh India

Amit Sinha India

Nidhi Kundu India

Sundar Anand India

Vandana B. Malode

356 ×1.5

PS

146 ×1.5

AC

53 ×1.6

ECOLO

24 ×0.8

AI

48 ×1.7

CVPR

Citations per year, relative to Vandana B. Malode Vandana B. Malode (= 1×) peers Sundar Anand

Countries citing papers authored by Vandana B. Malode

Since Specialization

Citations

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

Fields of papers citing papers by Vandana B. Malode

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vandana B. Malode. 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 Vandana B. Malode. The network helps show where Vandana B. Malode may publish in the future.

Co-authorship network of co-authors of Vandana B. Malode

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

All Works

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11 of 11 papers shown

1.

Malode, Vandana B., et al.. (2022). Transfer Learning for Multi-Crop Leaf Disease Image Classification using Convolutional Neural Network VGG. Artificial Intelligence in Agriculture. 6. 23–33. 265 indexed citations breakdown →

2.

Rathod, Sagar, et al.. (2022). Studies on Structural, Infrared and Optical Properties of Cobalt Ferrite Thin Film Grown by Spray Pyrolysis Technique. Advanced materials research. 1169. 43–48. 1 indexed citations

3.

Malode, Vandana B., et al.. (2021). Tomato Leaf Disease Detection and Classification using Convolution Neural Network. 564–570. 21 indexed citations

4.

Malode, Vandana B., et al.. (2018). A Novel Approach based on Average Information Parameters for Investigation and Diagnosis of Lung Cancer using ANN. Pattern Recognition and Image Analysis. 28(2). 301–309. 3 indexed citations

5.

Malode, Vandana B., et al.. (2018). An Innovative Approach for Investigation and Diagnosis of Lung Cancer by Utilizing Average Information Parameters. Procedia Computer Science. 132. 525–533. 5 indexed citations

6.

Malode, Vandana B., et al.. (2016). Communication Interface for Deaf-Mute People using Microsoft Kinect. 6 indexed citations

7.

Malode, Vandana B., et al.. (2016). New approach of statistical analysis for lung disease diagnosis using microscopy images. 1. 378–383. 3 indexed citations

8.

Malode, Vandana B., et al.. (2016). Morphology based approach for Microaneurysm detection from retinal image. 635–639. 4 indexed citations

9.

Malode, Vandana B., et al.. (2013). Implementation of automatic speaker recognition on TMS320C6713 using MFCC. 1–4. 1 indexed citations

10.

Malode, Vandana B. & B. P. Patil. (2012). BER performance of LBC coded OFDM in different channels. 1. 106–110. 1 indexed citations

11.

Malode, Vandana B. & B. P. Patil. (2010). PAPR Reduction Using Modified Selective Mapping Technique. 16 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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