Itiya Aneece

497 total citations
22 papers, 311 citations indexed

About

Itiya Aneece is a scholar working on Ecology, Media Technology and Ecological Modeling. According to data from OpenAlex, Itiya Aneece has authored 22 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ecology, 6 papers in Media Technology and 4 papers in Ecological Modeling. Recurrent topics in Itiya Aneece's work include Remote Sensing in Agriculture (12 papers), Remote-Sensing Image Classification (6 papers) and Species Distribution and Climate Change (4 papers). Itiya Aneece is often cited by papers focused on Remote Sensing in Agriculture (12 papers), Remote-Sensing Image Classification (6 papers) and Species Distribution and Climate Change (4 papers). Itiya Aneece collaborates with scholars based in United States and India. Itiya Aneece's co-authors include Prasad S. Thenkabail, Pardhasaradhi Teluguntla, Adam Oliphant, Daniel J. Foley, Howard E. Epstein, Lindsay B. Wheeler, Michael S. Palmer, Manuel Lerdau, Richard Massey and Russell G. Congalton and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Remote Sensing and Remote Sensing.

In The Last Decade

Itiya Aneece

20 papers receiving 301 citations

Peers

Itiya Aneece
Junlong Zheng China
Lan Xun China
Lukas Blickensdörfer Germany
Luqi Xing China
Marcin Kluczek Poland
José Bofana China
Yunfei Wu China
Hugo do Nascimento Bendini Brazil
Zhenbang Hao China
Tengyan Liu China
Junlong Zheng China
Itiya Aneece
Citations per year, relative to Itiya Aneece Itiya Aneece (= 1×) peers Junlong Zheng

Countries citing papers authored by Itiya Aneece

Since Specialization
Citations

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

Fields of papers citing papers by Itiya Aneece

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Itiya Aneece

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

All Works

20 of 20 papers shown
1.
Teluguntla, Pardhasaradhi, Adam Oliphant, Itiya Aneece, et al.. (2025). Landsat-Derived Rainfed and Irrigated-Area Product for Conterminous United States for the Year 2020 (LRIP30 CONUS 2020) Using Supervised and Unsupervised Machine Learning on the Cloud. Photogrammetric Engineering & Remote Sensing. 91(11). 703–714.
2.
McCormick, Richard L., Prasad S. Thenkabail, Itiya Aneece, et al.. (2025). Artificial Neural Network Multi-layer Perceptron Models to Classify California's Crops using Harmonized Landsat Sentinel (HLS) Data. Photogrammetric Engineering & Remote Sensing. 91(2). 91–100. 2 indexed citations
3.
4.
Thenkabail, Prasad S., Itiya Aneece, & Pardhasaradhi Teluguntla. (2024). Special Issue Introduction: Ushering a New Era of Hyperspectral Remote Sensing to Advance Remote Sensing Science in the Twenty-first Century. Photogrammetric Engineering & Remote Sensing. 90(8). 467–470. 1 indexed citations
5.
Aneece, Itiya, Prasad S. Thenkabail, Richard L. McCormick, et al.. (2024). Machine Learning and New-Generation Spaceborne Hyperspectral Data Advance Crop Type Mapping. Photogrammetric Engineering & Remote Sensing. 90(11). 687–698. 6 indexed citations
6.
Oliphant, Adam, Prasad S. Thenkabail, Pardhasaradhi Teluguntla, et al.. (2024). Automated Cropland Fallow Algorithm (ACFA) for the Northern Great Plains of USA. International Journal of Digital Earth. 17(1). 3 indexed citations
7.
Thenkabail, Prasad S., Itiya Aneece, & Pardhasaradhi Teluguntla. (2024). New Generation Hyperspectral Data for Quantum Leap in Remote Sensing Science for Agriculture. Photogrammetric Engineering & Remote Sensing. 90(11). 661–663.
8.
Foley, Daniel J., Prasad S. Thenkabail, Adam Oliphant, Itiya Aneece, & Pardhasaradhi Teluguntla. (2023). Crop Water Productivity from Cloud-Based Landsat Helps Assess California’s Water Savings. Remote Sensing. 15(19). 4894–4894. 5 indexed citations
9.
Aneece, Itiya, Daniel J. Foley, Prasad S. Thenkabail, Adam Oliphant, & Pardhasaradhi Teluguntla. (2022). New Generation Hyperspectral Data From DESIS Compared to High Spatial Resolution PlanetScope Data for Crop Type Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 7846–7858. 15 indexed citations
10.
Aneece, Itiya & Prasad S. Thenkabail. (2022). New Generation Hyperspectral Sensors DESIS and PRISMA Provide Improved Agricultural Crop Classifications. Photogrammetric Engineering & Remote Sensing. 88(11). 715–729. 16 indexed citations
11.
Aneece, Itiya & Prasad S. Thenkabail. (2021). DESIS and PRISMA: A study of a new generation of spaceborne hyperspectral sensors in the study of world crops. 479–479. 3 indexed citations
12.
13.
Thenkabail, Prasad S., Itiya Aneece, Pardhasaradhi Teluguntla, & Adam Oliphant. (2021). Hyperspectral Narrowband Data Propel Gigantic Leap in the Earth Remote Sensing. Photogrammetric Engineering & Remote Sensing. 87(7). 461–467. 6 indexed citations
14.
Aneece, Itiya & Prasad S. Thenkabail. (2021). Classifying Crop Types Using Two Generations of Hyperspectral Sensors (Hyperion and DESIS) with Machine Learning on the Cloud. Remote Sensing. 13(22). 4704–4704. 20 indexed citations
15.
Anderson, R. B., et al.. (2019). The Python Hyperspectral Analysis Tool (PyHAT) and Laser-Induced Breakdown Spectroscopy Spectral Database. LPICo. 2151. 7101. 1 indexed citations
16.
Foley, Daniel J., Prasad S. Thenkabail, Itiya Aneece, Pardhasaradhi Teluguntla, & Adam Oliphant. (2019). A meta-analysis of global crop water productivity of three leading world crops (wheat, corn, and rice) in the irrigated areas over three decades. International Journal of Digital Earth. 13(8). 939–975. 64 indexed citations
17.
Aneece, Itiya, Howard E. Epstein, & Manuel Lerdau. (2017). Correlating species and spectral diversities using hyperspectral remote sensing in early‐successional fields. Ecology and Evolution. 7(10). 3475–3488. 22 indexed citations
18.
Aneece, Itiya & Howard E. Epstein. (2016). Identifying invasive plant species using field spectroscopy in the VNIR region in successional systems of north-central Virginia. International Journal of Remote Sensing. 38(1). 100–122. 12 indexed citations
19.
Palmer, Michael S., Lindsay B. Wheeler, & Itiya Aneece. (2016). Does the Document Matter? The Evolving Role of Syllabi in Higher Education. Change The Magazine of Higher Learning. 48(4). 36–47. 22 indexed citations
20.
Aneece, Itiya & Howard E. Epstein. (2015). Distinguishing Early Successional Plant Communities Using Ground-Level Hyperspectral Data. Remote Sensing. 7(12). 16588–16606. 9 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

Breakdown of academic impact, for papers by Junlong Zheng Breakdown of academic impact, for papers by Lan Xun Breakdown of academic impact, for papers by Lukas Blickensdörfer Breakdown of academic impact, for papers by Luqi Xing Breakdown of academic impact, for papers by Marcin Kluczek Breakdown of academic impact, for papers by José Bofana Breakdown of academic impact, for papers by Yunfei Wu Breakdown of academic impact, for papers by Hugo do Nascimento Bendini Breakdown of academic impact, for papers by Zhenbang Hao Breakdown of academic impact, for papers by Tengyan Liu
Rankless by CCL
2026