V. N. Kodagali

462 citations
33 papers · 368 indexed · h-index 13

V. N. Kodagali

33 papers receiving 338 citations

Peers

V. N. Kodagali
Comparison fields: 5 of 42
  • Geophysics 167
  • Atmospheric Science 114
  • Oceanography 106
  • Geochemistry and Petrology 92
  • Earth-Surface Processes 71
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Countries citing papers authored by V. N. Kodagali

Since Specialization
Citations

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

Fields of papers citing papers by V. N. Kodagali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. N. Kodagali. 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 V. N. Kodagali. The network helps show where V. N. Kodagali may publish in the future.

Co-authorship network of co-authors of V. N. Kodagali

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 17
2 25
3 12
4
Application of artificial neural networks to segmentation and classification of topographic profiles of ridge-flank seafloor
3
5
The Northern Central Indian Ridge: Geology and tectonics of fracture zones-dominated spreading ridge segments
18
6 13
7
Geomorphological and petrological observations along a segment of slow-spreading Carlsberg Ridge
15
8 3
9 6
10
Exploration of the Carlsberg Rodge
2
11 18
12
THE MEANDERING INDUS CHANNELS : STUDY IN A SMALL AREA BY THE MULTIBEAM SWATH BATHYMETRY SYSTEM : HYDROSWEEP
4
13 3
14 8
15 8
16 3
17 22
18
Detailed Bathymetric Surveys in the Central Indian Basin
13
19 4
20
Seabed topography and distribution of manganese nodules in the Central Indian Ocean
10

About V. N. Kodagali

V. N. Kodagali is a scholar working on Earth-Surface Processes, Geology and Oceanography, having authored 33 papers that have together received 368 indexed citations. Recurring topics across this work include Geological formations and processes (11 papers), Geology and Paleoclimatology Research (9 papers) and Underwater Acoustics Research (9 papers). The work is most often cited by research in Geochemistry and Petrology (92 citations), Geophysics (167 citations) and Geology (68 citations). V. N. Kodagali has collaborated with scholars based in India, Germany and Australia. Frequent co-authors include M. Shyam Prasad, Sridhar D. Iyer, Rahul Sharma, T. Ramprasad, Bishwajit Chakraborty, K. A. Kamesh Raju, K. S. Krishna, R. A. Hagen, Hans Werner Schenke and R.R. Nair. Their work appears in journals such as Journal of Geophysical Research Atmospheres, IEEE Transactions on Geoscience and Remote Sensing and The Journal of the Acoustical Society of America.

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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