Anuja Sharma

445 citations
28 papers · 316 · h-index 7

Impact in

Papers in

Anuja Sharma

24 papers receiving 313 citations

Peers

Anuja Sharma
Comparison fields: 5 of 78
  • Computational Mathematics 9
  • Radiology, Nuclear Medicine and Imaging 155
  • Pediatrics, Perinatology and Child Health 119
  • Cognitive Neuroscience 84
  • Oceanography 32
Replace Ting‐Shuo Yo with:
Ting‐Shuo Yo Taiwan
Shu Su China
Shengli Chen China
Kate Duffy United States
Matthias Bittner Germany
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Citations per field
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Citations per year

Countries citing papers authored by Anuja Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Anuja Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anuja Sharma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anuja Sharma Line = papers co-authored together Anuja Sharma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012159
2 201452
3 201923
4 201921
5 20159
6
Fertilizer subsidies in India: an insight to distribution and equity issues.
20178
7 20167
8 20234
9 20133
10 20133
11 20203
12 20203
13 20083
14 20162
15 20142
16 20242
17
USING GINI COEFFICIENT FOR ANALYSING DISTRIBUTION OF COMMUNITY FORESTS IN NEPAL BY DEVELOPMENT AND ECOLOGICAL REGIONS
20102
18 19702
19 20232
20 20131

About Anuja Sharma

Anuja Sharma is a scholar working on Radiology, Nuclear Medicine and Imaging, Aerospace Engineering, Oceanography, Artificial Intelligence and Electrical and Electronic Engineering, having authored 28 papers that have together received 316 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (9 papers), Advanced MRI Techniques and Applications (5 papers), Calibration and Measurement Techniques (3 papers), Conservation, Biodiversity, and Resource Management (3 papers), Spacecraft Design and Technology (2 papers), Medical Image Segmentation Techniques (2 papers), Geophysics and Gravity Measurements (2 papers) and Forest Management and Policy (2 papers). The work is most often cited by research in Computational Mathematics (9 citations), Radiology, Nuclear Medicine and Imaging (155 citations), Pediatrics, Perinatology and Child Health (119 citations), Cognitive Neuroscience (84 citations) and Oceanography (32 citations). Anuja Sharma has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Guido Gerig, Sylvain Gouttard, Martin Styner, Xiujuan Geng, Weili Lin, Hongbin Gu, John H. Gilmore, Suchandra Aich Bhowmick, Raj Kumar and Hans J. Johnson. Their work appears in journals such as Current Science, NeuroImage, Diversity, International Journal of Applied Earth Observation and Geoinformation and Frontiers in Neuroinformatics.

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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