Ramachandra Hebbar

613 total citations · 1 hit paper
9 papers, 356 citations indexed

About

Ramachandra Hebbar is a scholar working on Plant Science, Ecology and Media Technology. According to data from OpenAlex, Ramachandra Hebbar has authored 9 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Plant Science, 3 papers in Ecology and 3 papers in Media Technology. Recurrent topics in Ramachandra Hebbar's work include Smart Agriculture and AI (5 papers), Remote-Sensing Image Classification (3 papers) and Remote Sensing in Agriculture (3 papers). Ramachandra Hebbar is often cited by papers focused on Smart Agriculture and AI (5 papers), Remote-Sensing Image Classification (3 papers) and Remote Sensing in Agriculture (3 papers). Ramachandra Hebbar collaborates with scholars based in India. Ramachandra Hebbar's co-authors include N Shashank, Suresh Subramoniam and C. Jeganathan and has published in prestigious journals such as SN Computer Science.

In The Last Decade

Ramachandra Hebbar

7 papers receiving 312 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.

Plant Disease Detection Using Machine Learning

2018 321 citations Ramachandra Hebbar, N Shashank et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ramachandra Hebbar India	4	320	120	45	18	16	9	356
Poornima Singh Thakur India	4	323 1.0×	129 1.1×	37 0.8×	12 0.7×	18 1.1×	8	357
Parul Sharma India	7	293 0.9×	81 0.7×	42 0.9×	16 0.9×	20 1.3×	23	401
Sergio Rodríguez-Vaamonde Spain	5	286 0.9×	139 1.2×	65 1.4×	17 0.9×	17 1.1×	8	333
Monoj K. Pradhan India	7	237 0.7×	108 0.9×	43 1.0×	24 1.3×	29 1.8×	9	325
Jihen Amara Tunisia	4	301 0.9×	123 1.0×	56 1.2×	12 0.7×	26 1.6×	5	341
Guofeng Yang China	11	247 0.8×	114 0.9×	59 1.3×	18 1.0×	24 1.5×	22	354
Chowdhury Rafeed Rahman Bangladesh	5	356 1.1×	152 1.3×	45 1.0×	18 1.0×	23 1.4×	11	476
Vandana B. Malode India	5	234 0.7×	97 0.8×	33 0.7×	31 1.7×	28 1.8×	11	326
Fanfeng Meng China	4	435 1.4×	228 1.9×	69 1.5×	14 0.8×	19 1.2×	6	486
C. K. Sunil India	6	309 1.0×	134 1.1×	50 1.1×	12 0.7×	16 1.0×	7	361

Countries citing papers authored by Ramachandra Hebbar

Since Specialization

Citations

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

Fields of papers citing papers by Ramachandra Hebbar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramachandra Hebbar

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Hebbar, Ramachandra, et al.. (2024). Semi-automatic Labeling of Satellite Images Using Texture Features and Hough Circle Transformation. SN Computer Science. 5(5). 1 indexed citations

2.

Hebbar, Ramachandra, et al.. (2024). Land Use Land Cover Classification using Deep Learning Techniques: A Comparative Study. 7–11. 2 indexed citations

3.

Jeganathan, C., et al.. (2023). Temporal Sentinel-1 SAR Data for Precise Crop Identification And Monitoring. 1–4.

4.

Hebbar, Ramachandra, et al.. (2018). Soil Color Detection Using Knn Classifier. 52–55. 15 indexed citations

5.

Hebbar, Ramachandra, et al.. (2018). CNN Based Technique for Automatic Tree Counting Using Very High Resolution Data. 127–129. 10 indexed citations

6.

Hebbar, Ramachandra, et al.. (2018). Buildings Detection from Very High Resolution Satellite Images Using Segmentation and Morphological Operations. 29. 106–110. 1 indexed citations

7.

Hebbar, Ramachandra, et al.. (2018). Plant Disease Detection Using Machine Learning. 41–45. 321 indexed citations breakdown →

8.

Hebbar, Ramachandra, et al.. (2018). CNN Based Technique for Systematic Classification of Field Photographs. 9. 59–63. 3 indexed citations

9.

Hebbar, Ramachandra, et al.. (2018). AgRobots (A Combination of Image Processing and Data Analytics for Precision Pesticide Use). 100. 56–58. 3 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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