Kamini Yadav

2.9k total citations · 3 hit papers
30 papers, 2.2k citations indexed

About

Kamini Yadav is a scholar working on Ecology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Kamini Yadav has authored 30 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Ecology, 16 papers in Global and Planetary Change and 9 papers in Atmospheric Science. Recurrent topics in Kamini Yadav's work include Remote Sensing in Agriculture (20 papers), Land Use and Ecosystem Services (10 papers) and Remote Sensing and Land Use (9 papers). Kamini Yadav is often cited by papers focused on Remote Sensing in Agriculture (20 papers), Land Use and Ecosystem Services (10 papers) and Remote Sensing and Land Use (9 papers). Kamini Yadav collaborates with scholars based in United States, India and Italy. Kamini Yadav's co-authors include Russell G. Congalton, Prasad S. Thenkabail, Jun Xiong, Murali Krishna Gumma, Pardhasaradhi Teluguntla, Adam Oliphant, Mutlu Özdoğan, Noel Gorelick, Justin Poehnelt and James C. Tilton and has published in prestigious journals such as Remote Sensing of Environment, Landscape and Urban Planning and Remote Sensing.

In The Last Decade

Kamini Yadav

28 papers receiving 2.1k 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.

A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform

2018 424 citations Pardhasaradhi Teluguntla, Prasad S. Thenkabail et al. ISPRS Journal of Photogrammetry and Remote Sensing profile →
Automated cropland mapping of continental Africa using Google Earth Engine cloud computing

2017 382 citations Jun Xiong, Prasad S. Thenkabail et al. ISPRS Journal of Photogrammetry and Remote Sensing profile →
Nominal 30-m Cropland Extent Map of Continental Africa by Integrating Pixel-Based and Object-Based Algorithms Using Sentinel-2 and Landsat-8 Data on Google Earth Engine

2017 312 citations Jun Xiong, Prasad S. Thenkabail et al. Remote Sensing profile →

Peers

Countries citing papers authored by Kamini Yadav

Since Specialization

Citations

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

Fields of papers citing papers by Kamini Yadav

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamini Yadav

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Exploring urban vegetation type and defensible space’s role in building loss during wildfire-driven events in California 2025 ·Landscape and Urban Planning ·Francisco J. Escobedo, Kamini Yadav, (unknown), Nels G. Johnson	0
2	Urban forest cover and ecosystem service response to fire varies across California communities 2024 ·Urban forestry & urban greening ·Francisco J. Escobedo, Kamini Yadav, Alessandro Ossola, (unknown), Stacy A. Drury	3
3	Increasing wildfires and changing sociodemographics in communities across California, USA 2023 ·International Journal of Disaster Risk Reduction ·Kamini Yadav, Francisco J. Escobedo, (unknown), Nels G. Johnson	13
4	Global cropland-extent product at 30-m resolution (GCEP30) derived from Landsat satellite time-series data for the year 2015 using multiple machine-learning algorithms on Google Earth Engine cloud 2021 ·USGS professional paper ·Prasad S. Thenkabail, Pardhasaradhi Teluguntla, Jun Xiong, Adam Oliphant, Russell G. Congalton, Mutlu Özdoğan, Murali Krishna Gumma, James C. Tilton, Chandra Giri, Cristina Milesi, Aparna Phalke, Richard Massey, Kamini Yadav, Temuulen Tsagaan Sankey, (unknown), Itiya Aneece, Daniel J. Foley	50
5	An Integrated Food, Energy, and Water Nexus, Human Well-Being, and Resilience (FEW-WISE) Framework: New Mexico 2021 ·Frontiers in Environmental Science ·Kamini Yadav, Hatim M. E. Geli, Andrés F. Cibils, Michael J. Hayes, Alexander G. Fernald, James T. Peach, Mohammed N. Sawalhah, Vincent Tidwell, (unknown), (unknown), (unknown)	13
6	Mapping croplands of Europe, Middle East, Russia, and Central Asia using Landsat, Random Forest, and Google Earth Engine 2020 ·ISPRS Journal of Photogrammetry and Remote Sensing ·Aparna Phalke, Mutlu Özdoğan, Prasad S. Thenkabail, Tyler Erickson, Noel Gorelick, Kamini Yadav, Russell G. Congalton	136
7	A Cloud-Based Evaluation of the National Land Cover Database to Support New Mexico’s Food–Energy–Water Systems 2020 ·Remote Sensing ·(unknown), Hatim M. E. Geli, Kamini Yadav, (unknown), Yelena Finegold, Kenneth G. Boykin	7
8	ACCURACIES, ERRORS, AND UNCERTAINTIES OF GLOBAL CROPLAND PRODUCTS 2019 ·University of New Hampshire Scholars Repository (University of New Hampshire at Manchester) ·Kamini Yadav	0
9	Evaluating Sampling Designs for Assessing the Accuracy of Cropland Extent Maps in Different Cropland Proportion Regions 2019 ·Journal of Geography Environment and Earth Science International ·Kamini Yadav, Russell G. Congalton	1
10	A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform breakdown → 2018 ·ISPRS Journal of Photogrammetry and Remote Sensing ·Pardhasaradhi Teluguntla, Prasad S. Thenkabail, Adam Oliphant, Jun Xiong, Murali Krishna Gumma, Russell G. Congalton, Kamini Yadav, Alfredo Huete	424
11	Accuracy Assessment of Global Food Security-Support Analysis Data (GFSAD) Cropland Extent Maps Produced at Three Different Spatial Resolutions 2018 ·Remote Sensing ·Kamini Yadav, Russell G. Congalton	31
12	Post‐socialist cropland changes and abandonment in Mongolia 2018 ·Land Degradation and Development ·Temuulen Tsagaan Sankey, Richard Massey, Kamini Yadav, Russell G. Congalton, James C. Tilton	13
13	Sampling Simulations for Assessing the Accuracy of U.S. Agricultural Crop Mapping from Remotely Sensed Imagery 2017 ·EGUGA ·(unknown), Kamini Yadav, Russell G. Congalton	1
14	Nominal 30-m Cropland Extent Map of Continental Africa by Integrating Pixel-Based and Object-Based Algorithms Using Sentinel-2 and Landsat-8 Data on Google Earth Engine breakdown → 2017 ·Remote Sensing ·Jun Xiong, Prasad S. Thenkabail, James C. Tilton, Murali Krishna Gumma, Pardhasaradhi Teluguntla, Adam Oliphant, Russell G. Congalton, Kamini Yadav, Noel Gorelick	312
15	Automated cropland mapping of continental Africa using Google Earth Engine cloud computing breakdown → 2017 ·ISPRS Journal of Photogrammetry and Remote Sensing ·Jun Xiong, Prasad S. Thenkabail, Murali Krishna Gumma, Pardhasaradhi Teluguntla, Justin Poehnelt, Russell G. Congalton, Kamini Yadav, David Thau	382
16	MODIS phenology-derived, multi-year distribution of conterminous U.S. crop types 2017 ·Remote Sensing of Environment ·Richard Massey, Temuulen Tsagaan Sankey, Russell G. Congalton, Kamini Yadav, Prasad S. Thenkabail, Mutlu Özdoğan, Andrew J. Sánchez Meador	130
17	Spectral matching techniques (SMTs) and automated cropland classification algorithms (ACCAs) for mapping croplands of Australia using MODIS 250-m time-series (2000–2015) data 2017 ·International Journal of Digital Earth ·Pardhasaradhi Teluguntla, Prasad S. Thenkabail, Jun Xiong, Murali Krishna Gumma, Russell G. Congalton, Adam Oliphant, Justin Poehnelt, Kamini Yadav, Mahesh Rao, Richard Massey	53
18	NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security Support Analysis Data (GFSAD) Crop Dominance 2010 Global 1 km V001 2016 ·Pardhasaradhi Teluguntla, Prasad S. Thenkabail, Jun Xiong, Murali Krishna Gumma, Chandra Giri, C. Milesi, Mutlu Özdoğan, Russell G. Congalton, James C. Tilton, Temuulen Tsagaan Sankey, (unknown), Aparna Phalke, Kamini Yadav	17
19	Global Land Cover Mapping: A Review and Uncertainty Analysis 2014 ·Remote Sensing ·Russell G. Congalton, Jianyu Gu, Kamini Yadav, Prasad S. Thenkabail, Mutlu Özdoğan	257
20	Assessing impact of forest landscape dynamics on migratory corridors: a case study of two protected areas in Himalayan foothills 2011 ·Biodiversity and Conservation ·P. K. Joshi, Kamini Yadav, Vinay Shankar Prasad Sinha	21

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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