Ritvik Sahajpal

4.2k total citations · 1 hit paper
43 papers, 1.5k citations indexed

About

Ritvik Sahajpal is a scholar working on Global and Planetary Change, Ecology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Ritvik Sahajpal has authored 43 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Global and Planetary Change, 18 papers in Ecology and 9 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Ritvik Sahajpal's work include Remote Sensing in Agriculture (18 papers), Land Use and Ecosystem Services (12 papers) and Climate change impacts on agriculture (9 papers). Ritvik Sahajpal is often cited by papers focused on Remote Sensing in Agriculture (18 papers), Land Use and Ecosystem Services (12 papers) and Climate change impacts on agriculture (9 papers). Ritvik Sahajpal collaborates with scholars based in United States, Netherlands and Germany. Ritvik Sahajpal's co-authors include Xuesong Zhang, R. C. Izaurralde, Ilya Gelfand, Katherine L. Gross, G. Philip Robertson, G. C. Hurtt, Louise Chini, Steve Frolking, Fernando Sedano and Matthew C. Hansen and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ritvik Sahajpal

42 papers receiving 1.5k citations

Hit Papers

align trajectories sort by overperformance

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.

Sustainable bioenergy production from marginal lands in the US Midwest

2013 585 citations Ilya Gelfand, Ritvik Sahajpal et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ritvik Sahajpal United States	17	622	432	345	331	233	43	1.5k
Zhangcai Qin China	26	518 0.8×	579 1.3×	531 1.5×	577 1.7×	371 1.6×	69	2.1k
Varaprasad Bandaru United States	19	405 0.7×	309 0.7×	242 0.7×	206 0.6×	161 0.7×	35	1.0k
Tyler J. Lark United States	17	880 1.4×	232 0.5×	712 2.1×	166 0.5×	342 1.5×	39	1.9k
Eric Casella United Kingdom	23	592 1.0×	552 1.3×	295 0.9×	379 1.1×	451 1.9×	32	1.6k
Rastislav Skalský Austria	20	592 1.0×	289 0.7×	447 1.3×	220 0.7×	410 1.8×	50	2.2k
Évelyne Thiffault Canada	26	1.2k 1.9×	408 0.9×	392 1.1×	178 0.5×	354 1.5×	89	2.1k
Bharat Sharma Acharya United States	20	300 0.5×	163 0.4×	240 0.7×	102 0.3×	220 0.9×	48	1.6k
Ryan M. Bright Norway	24	1.2k 2.0×	131 0.3×	365 1.1×	184 0.6×	773 3.3×	58	2.2k
Anna Repo Finland	18	819 1.3×	262 0.6×	227 0.7×	108 0.3×	263 1.1×	35	1.3k
DoKyoung Lee United States	20	173 0.3×	739 1.7×	162 0.5×	479 1.4×	164 0.7×	85	1.4k

Countries citing papers authored by Ritvik Sahajpal

Since Specialization

Citations

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

Fields of papers citing papers by Ritvik Sahajpal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ritvik Sahajpal

This figure shows the co-authorship network connecting the top 25 collaborators of Ritvik Sahajpal. A scholar is included among the top collaborators of Ritvik Sahajpal 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 Ritvik Sahajpal. Ritvik Sahajpal 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

Geyman, Emily, et al.. (2025). An Africa-wide agricultural production database to support policy and satellite-based measurement systems. Scientific Data. 12(1). 1087–1087.

Székely, Balázs, et al.. (2023). Crop Yield Estimation Using Sentinel-3 SLSTR, Soil Data, and Topographic Features Combined with Machine Learning Modeling: A Case Study of Nepal. AgriEngineering. 5(4). 1766–1788. 6 indexed citations

Ma, Lei, G. C. Hurtt, Lesley Ott, et al.. (2022). Global evaluation of the Ecosystem Demography model (ED v3.0). Geoscientific model development. 15(5). 1971–1994. 15 indexed citations

Hosseini, Mehdi, et al.. (2022). SOYBEAN YIELD FORECAST USING DUAL-POLARIMETRIC C-BAND SYNTHETIC APERTURE RADAR. SHILAP Revista de lepidopterología. V-3-2022. 405–410. 5 indexed citations

Ma, Lei, G. C. Hurtt, Lesley Ott, et al.. (2021). Global Evaluation of the Ecosystem Demography Model (ED v3.0). Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations

Sedano, F., Sá Nogueira Lisboa, Ritvik Sahajpal, et al.. (2021). The connection between forest degradation and urban energy demand in sub-Saharan Africa: a characterization based on high-resolution remote sensing data. Environmental Research Letters. 16(6). 64020–64020. 8 indexed citations

Chini, Louise, G. C. Hurtt, Ritvik Sahajpal, et al.. (2021). Land-use harmonization datasets for annual global carbon budgets. Earth system science data. 13(8). 4175–4189. 58 indexed citations

Ma, Lei, Ritvik Sahajpal, Jae Edmonds, et al.. (2021). Geospatial assessment of the economic opportunity for reforestation in Maryland, USA. Environmental Research Letters. 16(8). 84012–84012. 5 indexed citations

Ma, Lei, G. C. Hurtt, Louise Chini, et al.. (2020). Global rules for translating land-use change (LUH2) to land-cover change for CMIP6 using GLM2. Geoscientific model development. 13(7). 3203–3220. 41 indexed citations

10.

Hosseini, Mehdi, Hannah Kerner, Ritvik Sahajpal, et al.. (2020). Evaluating the Impact of the 2020 Iowa Derecho on Corn and Soybean Fields Using Synthetic Aperture Radar. Remote Sensing. 12(23). 3878–3878. 16 indexed citations

11.

Ma, Lei, G. C. Hurtt, Lesley Ott, et al.. (2020). Global Ecosystem Demography Model (ED-global v1.0): Development, Calibration and Evaluation for NASA’s Global Ecosystem Dynamics Investigation (GEDI). 4 indexed citations

12.

Sedano, F., Sá Nogueira Lisboa, Laura Duncanson, et al.. (2019). Monitoring forest degradation from charcoal production with historical Landsat imagery. A case study in southern Mozambique. Environmental Research Letters. 15(1). 15001–15001. 28 indexed citations

13.

Hurtt, G. C., J. Fisk, Ritvik Sahajpal, et al.. (2019). Potential Transient Response of Terrestrial Vegetation and Carbon in Northern North America from Climate Change. Climate. 7(9). 113–113. 5 indexed citations

14.

Hurtt, G. C., Ritvik Sahajpal, Amanda Armstrong, et al.. (2019). Beyond MRV: high-resolution forest carbon modeling for climate mitigation planning over Maryland, USA. Environmental Research Letters. 14(4). 45013–45013. 36 indexed citations

15.

Ma, Lei, G. C. Hurtt, Louise Chini, et al.. (2019). Global Transition Rules for Translating Land-use Change (LUH2) To Land-cover Change for CMIP6 using GLM2. Open access LMU (Ludwid Maxmilian's Universitat Munchen). 9 indexed citations

16.

Humber, M. L., et al.. (2018). Remote sensing observations capture winter crop rotation in Argentina. AGU Fall Meeting Abstracts. 2018. 1 indexed citations

17.

Hurtt, G. C., et al.. (2016). Potential Vegetation and Carbon Redistribution in Northern North America from Climate Change. Climate. 4(1). 2–2. 13 indexed citations

18.

Hurtt, G. C., Ralph Dubayah, J. Fisk, et al.. (2015). High-Resolution Modeling Disturbance-Induced Forest Carbon Dynamics with Lidar and Landsat Observations. 2015 AGU Fall Meeting. 2015. 1 indexed citations

19.

Sahajpal, Ritvik, Xuesong Zhang, R. C. Izaurralde, Ilya Gelfand, & G. C. Hurtt. (2014). Identifying representative crop rotation patterns and grassland loss in the US Western Corn Belt. Computers and Electronics in Agriculture. 108. 173–182. 49 indexed citations

20.

Zhang, Xuesong, Ritvik Sahajpal, David H. Manowitz, et al.. (2014). Multi-scale geospatial agroecosystem modeling: A case study on the influence of soil data resolution on carbon budget estimates. The Science of The Total Environment. 479-480. 138–150. 20 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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