Anamika Sharma

568 citations
30 papers · 321 indexed · h-index 8
Topics
Air Quality Monitoring and Forecasting (3 papers)Gas Sensing Nanomaterials and Sensors (2 papers)Indoor and Outdoor Localization Technologies (2 papers)

In The Last Decade

Anamika Sharma

27 papers receiving 297 citations

Peers

Anamika Sharma
Comparison fields: 5 of 77
  • Literature and Literary Theory 85
  • Language and Linguistics 73
  • Computer Networks and Communications 68
  • Electrical and Electronic Engineering 63
  • Education 55
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Citations per field
00.5×6.3×
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Citations per year

Countries citing papers authored by Anamika Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Anamika Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anamika Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Anamika Sharma. A scholar is included among the top collaborators of Anamika Sharma 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 Anamika Sharma. Anamika Sharma 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 1
2 1
3 3
4 1
5 3
6
Effect of COVID-19 Pandemic on Indian Construction Projects: Reflection on Major Root Cause of Delays and Recommendation to Overcome Current Crises
2
7 28
8
The Influence of Social, Cultural and Educational Factors on Entrepreneurial Intent and Personality Traits
1
9 6
10 7
11
LDA Based Tea Leaf Classification on the Basis of Shape, Color and Texture
1
12 1
13 3
14 106
15 1
16
Amalgamation of Automated Testing and Data Mining : A Novel Approach in Software Testing
4
17 7
18
Impact of Public Announcement of Open Offer on Shareholders Return: An Empirical Test for Efficient Market Hypothesis
0
19
Challenges: For Building Financial Inclusive India
1
20
Airline Industry in India Facing the Free Fall
0

About Anamika Sharma

Anamika Sharma is a scholar working on Software, Linguistics and Language and Computer Networks and Communications, having authored 30 papers that have together received 321 indexed citations. Recurring topics across this work include Air Quality Monitoring and Forecasting (3 papers), Gas Sensing Nanomaterials and Sensors (2 papers) and Indoor and Outdoor Localization Technologies (2 papers). The work is most often cited by research in Linguistics and Language (54 citations), Literature and Literary Theory (85 citations) and Language and Linguistics (73 citations). Anamika Sharma has collaborated with scholars based in India, United Kingdom and Australia. Frequent co-authors include Siddhartha Chauhan, Archana Aggarwal, Renu Gupta, Saeed Karshenas, Jitendra Singh Rathore, Rajesh Zele, Ronak Sutaria, Brijesh Kumar Mishra, Sarita Sharma and Varun Bhardwaj. Their work appears in journals such as IEEE Sensors Journal, Wireless Networks and Education and Information Technologies.

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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