Pranav Dave

4.8k total citations
3 papers, 9 citations indexed

About

Pranav Dave is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Statistical and Nonlinear Physics. According to data from OpenAlex, Pranav Dave has authored 3 papers receiving a total of 9 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Astronomy and Astrophysics, 2 papers in Nuclear and High Energy Physics and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Pranav Dave's work include Astrophysics and Cosmic Phenomena (2 papers), Radio Astronomy Observations and Technology (2 papers) and Neutrino Physics Research (1 paper). Pranav Dave is often cited by papers focused on Astrophysics and Cosmic Phenomena (2 papers), Radio Astronomy Observations and Technology (2 papers) and Neutrino Physics Research (1 paper). Pranav Dave collaborates with scholars based in India, Germany and United States. Pranav Dave's co-authors include I. Taboada and Amit M. Joshi and has published in prestigious journals such as Proceedings Of Science and Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019).

In The Last Decade

Pranav Dave

2 papers receiving 9 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pranav Dave India 2 8 5 1 1 1 3 9
T. Murach Germany 3 8 1.0× 5 1.0× 5 10
L. Truong United States 2 8 1.0× 5 1.0× 1 1.0× 1 1.0× 2 9
A. Jardin-Blicq Germany 2 9 1.1× 5 1.0× 4 9
Alessio Porcelli Switzerland 3 9 1.1× 5 1.0× 3 11
J. Migenda United Kingdom 2 8 1.0× 6 1.2× 5 9
G. Spengler Germany 2 8 1.0× 5 1.0× 8 9
Teresa Toscano Spain 3 8 1.0× 5 1.0× 1 1.0× 7 11
Ugo GIACCARI Argentina 2 7 0.9× 5 1.0× 2 7
Juan Carlos Arteaga Velázquez Mexico 2 7 0.9× 5 1.0× 4 7
T. Salagnac France 3 8 1.0× 4 0.8× 1 1.0× 3 10

Countries citing papers authored by Pranav Dave

Since Specialization
Citations

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

Fields of papers citing papers by Pranav Dave

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pranav Dave

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

All Works

3 of 3 papers shown
1.
Dave, Pranav, et al.. (2023). A time variability test for neutrino sources identified by IceCube.. Proceedings Of Science. 973–973.
2.
Dave, Pranav & I. Taboada. (2019). Neutrinos from Primordial Black Hole Evaporation. Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019). 863–863. 8 indexed citations
3.
Dave, Pranav & Amit M. Joshi. (2019). Prediction Based Method for Faster Compressive Sensing Reconstruction Using OMP. 1–4. 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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