Anuj Sharma

1.6k citations
53 papers · 979 indexed · 1 hit paper · h-index 13
Topics
Handwritten Text Recognition Techniques (20 papers)Vehicle License Plate Recognition (12 papers)Hand Gesture Recognition Systems (6 papers)

In The Last Decade

Anuj Sharma

49 papers receiving 938 citations

Hit Papers

Problem formulations and solvers in linear SVM: a review20182026202020232018100200300400

Peers

Anuj Sharma
Comparison fields: 5 of 143
  • Computer Vision and Pattern Recognition 272
  • Artificial Intelligence 227
  • Media Technology 174
  • Molecular Biology 150
  • Computational Theory and Mathematics 102
Replace Sultan Almotairi with:
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Anuj Sharma relative to Sultan Almotairi Saudi Arabia Sultan Almotairi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Anuj Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Anuj Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anuj Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Anuj Sharma. A scholar is included among the top collaborators of Anuj 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 Anuj Sharma. Anuj 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 2
2 1
3 3
4 13
5 1
6 19
7 4
8 17
9 7
10 2
11 2
12
Problem formulations and solvers in linear SVM: a reviewbreakdown →
403
13
Mini-batch Block-coordinate based Stochastic Average Adjusted Gradient Methods to Solve Big Data Problems
5
14 15
15
A Survey on Spectrum Sensing Techniques for Cognitive Radio
10
16
Maintaining software through bit-parallelism and hashing the parameterized q-grams
1
17 4
18 32
19 30
20
Online preprocessing of handwritten Gurmukhi strokes
9

About Anuj Sharma

Anuj Sharma is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 53 papers that have together received 979 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (20 papers), Vehicle License Plate Recognition (12 papers) and Hand Gesture Recognition Systems (6 papers). The work is most often cited by research in Media Technology (174 citations), Human-Computer Interaction (76 citations) and Computer Vision and Pattern Recognition (272 citations). Anuj Sharma has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Kalpana Dahiya, Vinod Kumar Chauhan, Rajendra Kumar Sharma, Christos Andronis, Andreas Persidis, Spyros Deftereos, Rajesh Kumar, Sukhdeep Singh, Rajesh Kumar and Rajiv Kumar Sharma. Their work appears in journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Magnetic Resonance in Medicine.

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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