Aarti Aarti

711 total citations
44 papers, 387 citations indexed

About

Aarti Aarti is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Information Systems. According to data from OpenAlex, Aarti Aarti has authored 44 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Plant Science and 6 papers in Information Systems. Recurrent topics in Aarti Aarti's work include Software Engineering Research (4 papers), Face recognition and analysis (4 papers) and Carbon Dioxide Capture Technologies (4 papers). Aarti Aarti is often cited by papers focused on Software Engineering Research (4 papers), Face recognition and analysis (4 papers) and Carbon Dioxide Capture Technologies (4 papers). Aarti Aarti collaborates with scholars based in India, Norway and Australia. Aarti Aarti's co-authors include Swapnil Divekar, Sandeep Kumar, Soumen Dasgupta, Richard Blom, Aud I. Spjelkavik, Raju Pal, Anshu Nanoti, Amar N. Goswami, Madhukar O. Garg and Pushpa Gupta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemistry - A European Journal and Fuel.

In The Last Decade

Aarti Aarti

34 papers receiving 371 citations

Peers

Aarti Aarti
Comparison fields: 5 of 85
  • Mechanical Engineering 149
  • Inorganic Chemistry 102
  • Materials Chemistry 100
  • Biomedical Engineering 53
  • Computer Networks and Communications 48
Replace Wenqiang Du with:
Wenqiang Du China
Hanchen Ye United States
Takumi Watanabe Japan
Surinder Kaur India
Abbas M. Ali Iraq
R. Sivakami India
Ao Wu China
Qi Zuo China
Lun Li China
Jingru Luo United States
Wenqiang Du China View profile →
Citations per field, relative to Aarti Aarti
Aarti Aarti · 1×
Citations per year, relative to Aarti Aarti
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Countries citing papers authored by Aarti Aarti

Since Specialization
Citations

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

Fields of papers citing papers by Aarti Aarti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aarti Aarti

This figure shows the co-authorship network connecting the top 25 collaborators of Aarti Aarti. A scholar is included among the top collaborators of Aarti Aarti 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 Aarti Aarti. Aarti Aarti 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 0
2 0
3 1
4 0
5 0
6 2
7 1
8 40
9 1
10 2
11 18
12 1
13 2
14 1
15 1
16 0
17 4
18 2
19
Optical Character Recognition Using Neural Networks
0
20 0

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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