Narina Thakur

807 total citations
28 papers, 443 citations indexed

About

Narina Thakur is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Narina Thakur has authored 28 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Narina Thakur's work include Information Retrieval and Search Behavior (3 papers), Data Quality and Management (3 papers) and Text and Document Classification Technologies (3 papers). Narina Thakur is often cited by papers focused on Information Retrieval and Search Behavior (3 papers), Data Quality and Management (3 papers) and Text and Document Classification Technologies (3 papers). Narina Thakur collaborates with scholars based in India, Australia and United Arab Emirates. Narina Thakur's co-authors include Aakanksha Sharma, Amanpreet Singh, Rachna Jain, Preeti Nagrath, Sachin Goyal, Shivani Kapania, Yu‐Chen Hu, Biswaranjan Acharya, Shruti Agarwal and Aman Jain and has published in prestigious journals such as Multimedia Tools and Applications, Soft Computing and Concurrency and Computation Practice and Experience.

In The Last Decade

Narina Thakur

24 papers receiving 416 citations

Peers

Narina Thakur
Comparison fields: 5 of 112
  • Artificial Intelligence 119
  • Computer Vision and Pattern Recognition 105
  • Information Systems 55
  • Building and Construction 41
  • Electrical and Electronic Engineering 40
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Steve A. Adeshina Nigeria
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Citations per field, relative to Narina Thakur
Narina Thakur · 1×
Citations per year, relative to Narina Thakur
Narina Thakur · 1×

Countries citing papers authored by Narina Thakur

Since Specialization
Citations

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

Fields of papers citing papers by Narina Thakur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Narina Thakur

This figure shows the co-authorship network connecting the top 25 collaborators of Narina Thakur. A scholar is included among the top collaborators of Narina Thakur 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 Narina Thakur. Narina Thakur 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
# Work Indexed citations
1 28
2 0
3 1
4 4
5 3
6 6
7 4
8 16
9 3
10 26
11 2
12 1
13 1
14 20
15
A review of supervised machine learning algorithms
211
16
Contrasting and Evaluating Different Clustering Algorithms: A Literature Review
1
17
The Evolution and Future Scope of Augmented Reality
12
18 11
19
Schemes and Practices of Learning Object Repository: A Literature Review
0
20 1

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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