E. Nagaraju

413 total citations
12 papers, 319 citations indexed

About

E. Nagaraju is a scholar working on Geophysics, Molecular Biology and Atmospheric Science. According to data from OpenAlex, E. Nagaraju has authored 12 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Geophysics, 6 papers in Molecular Biology and 3 papers in Atmospheric Science. Recurrent topics in E. Nagaraju's work include Geological and Geochemical Analysis (11 papers), earthquake and tectonic studies (8 papers) and High-pressure geophysics and materials (7 papers). E. Nagaraju is often cited by papers focused on Geological and Geochemical Analysis (11 papers), earthquake and tectonic studies (8 papers) and High-pressure geophysics and materials (7 papers). E. Nagaraju collaborates with scholars based in India, Australia and Canada. E. Nagaraju's co-authors include V. Parashuramulu, Anil Kumar, Yuhan Rao, Jean Besse, D. Srinivasa Sarma, M. Venkateshwarlu, Anil Kumar, Donald W. Davis, A.C. Narayana and Ravi Shankar and has published in prestigious journals such as Chemical Geology, Tectonophysics and Geoderma.

In The Last Decade

E. Nagaraju

11 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Nagaraju India 11 309 72 68 33 19 12 319
V. Parashuramulu India 11 376 1.2× 94 1.3× 70 1.0× 26 0.8× 20 1.1× 16 379
Borja Antolín Germany 9 358 1.2× 70 1.0× 77 1.1× 50 1.5× 17 0.9× 13 378
B. Bayou Algeria 12 312 1.0× 47 0.7× 118 1.7× 34 1.0× 9 0.5× 23 326
K. Donnelly United States 5 389 1.3× 94 1.3× 28 0.4× 49 1.5× 35 1.8× 6 401
Olivier Blein France 9 358 1.2× 91 1.3× 32 0.5× 38 1.2× 31 1.6× 23 393
Marcus C. Tate Australia 10 370 1.2× 152 2.1× 25 0.4× 48 1.5× 19 1.0× 13 381
Anthony F. Pivarunas United States 8 265 0.9× 55 0.8× 130 1.9× 52 1.6× 17 0.9× 22 287
Allen Schaen United States 7 194 0.6× 81 1.1× 16 0.2× 32 1.0× 7 0.4× 14 207
Fernando Javier D’Eramo Argentina 13 424 1.4× 189 2.6× 24 0.4× 52 1.6× 19 1.0× 29 441
Manuel Demartis Argentina 10 310 1.0× 134 1.9× 15 0.2× 37 1.1× 10 0.5× 28 327

Countries citing papers authored by E. Nagaraju

Since Specialization
Citations

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

Fields of papers citing papers by E. Nagaraju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Nagaraju

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

All Works

12 of 12 papers shown
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Nagaraju, E., et al.. (2020). Preliminary anisotropy of magnetic susceptibility studies on 2367 Ma Bangalore-Karimnagar giant dyke swarm, southern India: Implications for magma flow. Physics of The Earth and Planetary Interiors. 306. 106540–106540. 13 indexed citations
4.
Sarma, D. Srinivasa, et al.. (2020). Pb–Pb baddeleyite ages of mafic dyke swarms from the Dharwar Craton: Implications for Paleoproterozoic LIPs and diamond potential of mantle keel. Geoscience Frontiers. 11(6). 2127–2139. 22 indexed citations
5.
Nagaraju, E. & V. Parashuramulu. (2019). AMS studies on a 450 km long 2216 Ma dyke from Dharwar craton, India: Implications to magma flow. Geoscience Frontiers. 10(5). 1931–1939. 13 indexed citations
6.
Nagaraju, E., et al.. (2018). A 2207 Ma radiating mafic dyke swarm from eastern Dharwar craton, Southern India: Drift history through Paleoproterozoic. Precambrian Research. 317. 89–100. 31 indexed citations
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Nagaraju, E., et al.. (2017). Paleomagnetism and geochronological studies on a 450 km long 2216 Ma dyke from the Dharwar craton, southern India. Physics of The Earth and Planetary Interiors. 274. 222–231. 31 indexed citations
9.
Kumar, Anil, V. Parashuramulu, & E. Nagaraju. (2015). A 2082 Ma radiating dyke swarm in the Eastern Dharwar Craton, southern India and its implications to Cuddapah basin formation. Precambrian Research. 266. 490–505. 66 indexed citations
10.
Kumar, Anil, E. Nagaraju, D. Srinivasa Sarma, & Donald W. Davis. (2014). Precise Pb baddeleyite geochronology by the thermal extraction-thermal ionization mass spectrometry method. Chemical Geology. 372. 72–79. 31 indexed citations
11.
Srivastava, Priyeshu, S. J. Sangode, D. C. Meshram, et al.. (2012). Paleoweathering and depositional conditions in the inter-flow sediment units (bole beds) of Deccan Volcanic Province, India: A mineral magnetic approach. Geoderma. 177-178. 90–109. 16 indexed citations
12.
Kumar, Anil, E. Nagaraju, Jean Besse, & Yuhan Rao. (2012). New age, geochemical and paleomagnetic data on a 2.21Ga dyke swarm from south India: Constraints on Paleoproterozoic reconstruction. Precambrian Research. 220-221. 123–138. 62 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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