Nitin Rai

434 total citations · 1 hit paper
13 papers, 285 citations indexed

About

Nitin Rai is a scholar working on Plant Science, Ecology and Analytical Chemistry. According to data from OpenAlex, Nitin Rai has authored 13 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 6 papers in Ecology and 2 papers in Analytical Chemistry. Recurrent topics in Nitin Rai's work include Smart Agriculture and AI (11 papers), Remote Sensing in Agriculture (6 papers) and Date Palm Research Studies (4 papers). Nitin Rai is often cited by papers focused on Smart Agriculture and AI (11 papers), Remote Sensing in Agriculture (6 papers) and Date Palm Research Studies (4 papers). Nitin Rai collaborates with scholars based in United States, India and Thailand. Nitin Rai's co-authors include Xin Sun, Yu Zhang, Sreekala G. Bajwa, Xin Sun, Billy G. Ram, Leon Schumacher, Kirk Howatt, Michael Ostlie, María B. Villamil and Yu Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers and Electronics in Agriculture and Pest Management Science.

In The Last Decade

Nitin Rai

11 papers receiving 274 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.

Applications of deep learning in precision weed management: A review

2023 128 citations Nitin Rai, Yu Zhang et al. Computers and Electronics in Agriculture profile →

Peers

Nitin Rai

PS

ECOLO

AC

FS

BE

E.J. Pekkeriet Netherlands

Mansoor Alam United States

Jake Wood Australia

Yanyun Han China

Brendan Calvert Australia

Muhammad Shahab Alam Pakistan

Wesley Banks United States

Shouhui Pan China

Chetan Badgujar United States

Loukas Athanasakos Greece

E.J. Pekkeriet Netherlands

Nitin Rai

246 ×1.0

PS

35 ×0.6

ECOLO

31 ×1.0

AC

15 ×0.5

FS

25 ×1.1

BE

Citations per year, relative to Nitin Rai Nitin Rai (= 1×) peers E.J. Pekkeriet

Countries citing papers authored by Nitin Rai

Since Specialization

Citations

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

Fields of papers citing papers by Nitin Rai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nitin Rai

This figure shows the co-authorship network connecting the top 25 collaborators of Nitin Rai. A scholar is included among the top collaborators of Nitin Rai 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 Nitin Rai. Nitin Rai 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:

13 of 13 papers shown

1.

Rai, Nitin, et al.. (2025). Deep learning for sunflower (Helianthus annuus L.) mapping and stand counting: Trade-offs between closed vs. open-access methods. Smart Agricultural Technology. 12. 101235–101235.

2.

Rai, Nitin, Arnold W. Schumann, & Nathan S. Boyd. (2025). PhytoSynth: Leveraging Multi-modal Generative Models for Crop Disease Data Generation with Novel Benchmarking and Prompt Engineering Approach. 5371–5380.

3.

Huang, Yanbo, Xin Sun, Nitin Rai, et al.. (2025). Remote sensing for precision weed management. Pest Management Science. 81(8). 4190–4199. 1 indexed citations

4.

Rai, Nitin, et al.. (2024). Advances in weed identification using hyperspectral imaging: A comprehensive review of platform sensors and deep learning techniques. Journal of Agriculture and Food Research. 18. 101388–101388. 6 indexed citations

5.

Zhang, Yu, Cengiz Koparan, Nitin Rai, et al.. (2024). Advances in ground robotic technologies for site-specific weed management in precision agriculture: A review. Computers and Electronics in Agriculture. 225. 109363–109363. 45 indexed citations

6.

Rai, Nitin, et al.. (2024). A case study on canola (Brassica napus L.) potential yield prediction using remote sensing imagery and advanced data analytics. SHILAP Revista de lepidopterología. 9. 100698–100698. 2 indexed citations

7.

Rai, Nitin & Xin Sun. (2024). WeedVision: A single-stage deep learning architecture to perform weed detection and segmentation using drone-acquired images. Computers and Electronics in Agriculture. 219. 108792–108792. 32 indexed citations

8.

Rai, Nitin, et al.. (2023). Multi-format open-source weed image dataset for real-time weed identification in precision agriculture. Data in Brief. 51. 109691–109691. 13 indexed citations

9.

Rai, Nitin, Yu Zhang, María B. Villamil, et al.. (2023). Agricultural weed identification in images and videos by integrating optimized deep learning architecture on an edge computing technology. Computers and Electronics in Agriculture. 216. 108442–108442. 49 indexed citations

10.

Rai, Nitin, Yu Zhang, Billy G. Ram, et al.. (2023). Applications of deep learning in precision weed management: A review. Computers and Electronics in Agriculture. 206. 107698–107698. 128 indexed citations breakdown →

11.

Rai, Nitin, Xin Sun, C. Igathinathane, Kirk Howatt, & Michael Ostlie. (2023). Aerial-Based Weed Detection Using Low-Cost and Lightweight Deep Learning Models on an Edge Platform. Journal of the ASABE. 66(5). 1041–1055. 2 indexed citations

12.

Rai, Nitin & Paulo Flores. (2021). Leveraging transfer learning in ArcGIS Pro to detect �doubles� in a sunflower field. 5 indexed citations

13.

Rai, Nitin, et al.. (2013). Automatic blur detection in mobile captured document images: Towards quality check in mobile based document imaging applications. 2. 299–304. 2 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.

Explore authors with similar magnitude of impact