Ashwin Ramdas

423 total citations
2 papers, 2 citations indexed

About

Ashwin Ramdas is a scholar working on Electrical and Electronic Engineering, Pollution and Artificial Intelligence. According to data from OpenAlex, Ashwin Ramdas has authored 2 papers receiving a total of 2 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Electrical and Electronic Engineering, 1 paper in Pollution and 1 paper in Artificial Intelligence. Recurrent topics in Ashwin Ramdas's work include Solar Radiation and Photovoltaics (1 paper), Innovation Diffusion and Forecasting (1 paper) and Energy and Environment Impacts (1 paper). Ashwin Ramdas is often cited by papers focused on Solar Radiation and Photovoltaics (1 paper), Innovation Diffusion and Forecasting (1 paper) and Energy and Environment Impacts (1 paper). Ashwin Ramdas collaborates with scholars based in United States. Ashwin Ramdas's co-authors include Ben Sigrin, Kelsey Horowitz, Gregory N. Nielson, Daniel W. Cunningham and Zigurts K. Majumdar and has published in prestigious journals such as .

In The Last Decade

Ashwin Ramdas

2 papers receiving 2 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ashwin Ramdas United States	2	1	1	1	1	1	2	2
F. Devoto Australia	2		1 1.0×				2	2
Mark Barszczyk Canada	2						2	2
Kimberly V. Amelsberg United States	2						2	2
B. Alotaibi Saudi Arabia	2						2	2
O. Hartbrich Germany	2				1 1.0×		5	2
Durgesh India	2						3	2
Francisco Javier Parra Bermúdez Australia	2						3	2
Ignacio Ruelas Colombia	2						3	2
R. Lu China	2						3	2

Countries citing papers authored by Ashwin Ramdas

Since Specialization

Citations

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

Fields of papers citing papers by Ashwin Ramdas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashwin Ramdas

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

All Works

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2 of 2 papers shown

1.

Horowitz, Kelsey, Gregory N. Nielson, Daniel W. Cunningham, et al.. (2020). Revisiting the Effects of Photovoltaic Module Efficiency on Installed System Cost and Market Adoption. 2054–2056. 1 indexed citations

2.

Ramdas, Ashwin, Kelsey Horowitz, & Ben Sigrin. (2019). Quantifying the Relationship Between Higher Photovoltaic Module Efficiency and the Adoption of Distributed Solar. 607–614. 1 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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