Aanis Ahmad

868 total citations · 1 hit paper
12 papers, 553 citations indexed

About

Aanis Ahmad is a scholar working on Plant Science, Cell Biology and Ecology. According to data from OpenAlex, Aanis Ahmad has authored 12 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 5 papers in Cell Biology and 1 paper in Ecology. Recurrent topics in Aanis Ahmad's work include Smart Agriculture and AI (11 papers), Plant Disease Management Techniques (8 papers) and Plant Pathogens and Fungal Diseases (5 papers). Aanis Ahmad is often cited by papers focused on Smart Agriculture and AI (11 papers), Plant Disease Management Techniques (8 papers) and Plant Pathogens and Fungal Diseases (5 papers). Aanis Ahmad collaborates with scholars based in United States and India. Aanis Ahmad's co-authors include Dharmendra Saraswat, Aly El Gamal, Varun Aggarwal and Gurmukh S. Johal and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Remote Sensing.

In The Last Decade

Aanis Ahmad

11 papers receiving 533 citations

Hit Papers

A survey on using deep learning techniques for plant dise... 2022 2026 2023 2024 2022 50 100 150
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.

  1. A survey on using deep learning techniques for plant disease diagnosis and recommendations for development of appropriate tools
    2022 193 citations Aanis Ahmad, Dharmendra Saraswat et al. SHILAP Revista de lepidopterología profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aanis Ahmad United States 7 503 150 101 34 19 12 553
Sri Charan Kakarla United States 6 464 0.9× 133 0.9× 222 2.2× 27 0.8× 48 2.5× 7 578
Guofeng Yang China 11 247 0.5× 114 0.8× 59 0.6× 19 0.6× 12 0.6× 22 354
Jiuxi Li China 9 304 0.6× 87 0.6× 53 0.5× 32 0.9× 15 0.8× 25 399
Henry Ruiz United States 7 488 1.0× 97 0.6× 153 1.5× 22 0.6× 57 3.0× 14 572
Xiaojun Jin China 10 404 0.8× 99 0.7× 89 0.9× 27 0.8× 21 1.1× 24 473
Koushik Nagasubramanian United States 8 540 1.1× 225 1.5× 209 2.1× 37 1.1× 31 1.6× 10 674
Sk Mahmudul Hassan India 6 498 1.0× 182 1.2× 71 0.7× 27 0.8× 6 0.3× 14 569
Fanfeng Meng China 4 435 0.9× 228 1.5× 69 0.7× 16 0.5× 8 0.4× 6 486
Jone Echazarra Spain 5 774 1.5× 331 2.2× 173 1.7× 49 1.4× 21 1.1× 8 851
Kamlesh Golhani Malaysia 5 296 0.6× 195 1.3× 140 1.4× 19 0.6× 19 1.0× 5 377

Countries citing papers authored by Aanis Ahmad

Since Specialization
Citations

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

Fields of papers citing papers by Aanis Ahmad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aanis Ahmad

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

All Works

12 of 12 papers shown
1.
Ahmad, Aanis, Varun Aggarwal, Dharmendra Saraswat, & Gurmukh S. Johal. (2024). UAS and UGV-Based Disease Management  System for Diagnosing Corn Diseases Above  and Below the Canopy Using Deep Learning. Journal of the ASABE. 67(1). 161–179. 1 indexed citations
2.
Ahmad, Aanis, Varun Aggarwal, & Dharmendra Saraswat. (2023). BNNDC: Branched neural network for plant disease identification. SHILAP Revista de lepidopterología. 5. 100315–100315. 5 indexed citations
3.
Ahmad, Aanis, Aly El Gamal, & Dharmendra Saraswat. (2023). Toward Generalization of Deep Learning-Based Plant Disease Identification Under Controlled and Field Conditions. IEEE Access. 11. 9042–9057. 64 indexed citations
4.
Ahmad, Aanis, Dharmendra Saraswat, & Aly El Gamal. (2022). A survey on using deep learning techniques for plant disease diagnosis and recommendations for development of appropriate tools. SHILAP Revista de lepidopterología. 3. 100083–100083. 193 indexed citations breakdown →
5.
Ahmad, Aanis, Varun Aggarwal, Dharmendra Saraswat, Aly El Gamal, & Gurmukh S. Johal. (2022). GeoDLS: A Deep Learning-Based Corn Disease Tracking and Location System Using RTK Geolocated UAS Imagery. Remote Sensing. 14(17). 4140–4140. 8 indexed citations
6.
7.
Ahmad, Aanis, et al.. (2022). A two-stage deep-learning based segmentation model for crop disease quantification based on corn field imagery. SHILAP Revista de lepidopterología. 3. 100108–100108. 78 indexed citations
8.
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10.
Ahmad, Aanis. (2021). CD&S Dataset. OSF Preprints (OSF Preprints). 1 indexed citations
11.
Ahmad, Aanis, et al.. (2021). Deep Learning-Based Object Detection System for Identifying Weeds Using UAS Imagery. Remote Sensing. 13(24). 5182–5182. 42 indexed citations
12.
Ahmad, Aanis, et al.. (2021). Performance of deep learning models for classifying and detecting common weeds in corn and soybean production systems. Computers and Electronics in Agriculture. 184. 106081–106081. 125 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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