Avishek Saha

1.2k total citations
36 papers, 717 citations indexed

About

Avishek Saha is a scholar working on Computer Vision and Pattern Recognition, Filtration and Separation and Artificial Intelligence. According to data from OpenAlex, Avishek Saha has authored 36 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 11 papers in Filtration and Separation and 10 papers in Artificial Intelligence. Recurrent topics in Avishek Saha's work include Chemical and Physical Properties in Aqueous Solutions (11 papers), Crystallization and Solubility Studies (10 papers) and Thermodynamic properties of mixtures (9 papers). Avishek Saha is often cited by papers focused on Chemical and Physical Properties in Aqueous Solutions (11 papers), Crystallization and Solubility Studies (10 papers) and Thermodynamic properties of mixtures (9 papers). Avishek Saha collaborates with scholars based in India, United States and Russia. Avishek Saha's co-authors include Hal Daumé, Abhishek Kumar, Suresh Venkatasubramanian, Divesh Srivastava, Piyush Rai, Shamik Sural, Jayanta Mukherjee, Lukasz Golab, Flip Korn and Howard Karloff and has published in prestigious journals such as Chemical Physics Letters, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Avishek Saha

33 papers receiving 689 citations

Peers

Avishek Saha
Comparison fields: 5 of 115
  • Artificial Intelligence 412
  • Computer Vision and Pattern Recognition 233
  • Management Science and Operations Research 123
  • Signal Processing 112
  • Computer Networks and Communications 100
Replace Cong Fu with:
Cong Fu China
Christina Teflioudi Germany
Ariel Kleiner United States
Huaiyu Zhu United States
Akihiro Inokuchi Japan
Brijnesh J. Jain Germany
Takanori Maehara Japan
Manfred Jaeger Denmark
Christopher Musco United States
Cong Fu China View profile →
Citations per field, relative to Avishek Saha
Avishek Saha · 1×
Citations per year, relative to Avishek Saha
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Countries citing papers authored by Avishek Saha

Since Specialization
Citations

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

Fields of papers citing papers by Avishek Saha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Avishek Saha

This figure shows the co-authorship network connecting the top 25 collaborators of Avishek Saha. A scholar is included among the top collaborators of Avishek Saha 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 Avishek Saha. Avishek Saha 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 4
5 9
6 9
7 12
8 3
9 4
10 2
11 0
12 1
13 18
14 17
15 2
16 7
17
Online Learning of Multiple Tasks and Their Relationships
37
18 21
19
Co-regularization Based Semi-supervised Domain Adaptation
99
20
Domain Adaptation meets Active Learning
69

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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