Ajinkya Kale

646 total citations
15 papers, 274 citations indexed

About

Ajinkya Kale is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Ajinkya Kale has authored 15 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Ajinkya Kale's work include Advanced Image and Video Retrieval Techniques (5 papers), Multimodal Machine Learning Applications (4 papers) and Recommender Systems and Techniques (3 papers). Ajinkya Kale is often cited by papers focused on Advanced Image and Video Retrieval Techniques (5 papers), Multimodal Machine Learning Applications (4 papers) and Recommender Systems and Techniques (3 papers). Ajinkya Kale collaborates with scholars based in United States, India and Netherlands. Ajinkya Kale's co-authors include Zhe Lin, Handong Zhao, Michael Maire, Jianming Zhang, Yilin Wang, Jason Kuen, Xin Yuan, Trung Bui, Zhaowen Wang and Zhankui He and has published in prestigious journals such as SHILAP Revista de lepidopterología, Language Resources and Evaluation and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Ajinkya Kale

15 papers receiving 272 citations

Peers

Ajinkya Kale
Comparison fields: 5 of 54
  • Computer Vision and Pattern Recognition 165
  • Artificial Intelligence 140
  • Information Systems 50
  • Management Science and Operations Research 13
  • Radiology, Nuclear Medicine and Imaging 12
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Citations per field, relative to Ajinkya Kale
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Citations per year, relative to Ajinkya Kale
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Countries citing papers authored by Ajinkya Kale

Since Specialization
Citations

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

Fields of papers citing papers by Ajinkya Kale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ajinkya Kale

This figure shows the co-authorship network connecting the top 25 collaborators of Ajinkya Kale. A scholar is included among the top collaborators of Ajinkya Kale 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 Ajinkya Kale. Ajinkya Kale is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 1
2 42
3 36
4 8
5 33
6 1
7 97
8 32
9 1
10
Search Query Language Identification Using Weak Labeling
1
11 12
12
Wireless Sensor Network Hardware Platforms and Multi- channel Communication Protocols: A Survey
4
13 1
14 2
15
A Novel Binary Division Algorithm Based On Vedic Mathematics And Applications To Polynomial Division.
3

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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