Arkajyoti Saha

488 total citations
18 papers, 261 citations indexed

About

Arkajyoti Saha is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Environmental Engineering. According to data from OpenAlex, Arkajyoti Saha has authored 18 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Environmental Engineering. Recurrent topics in Arkajyoti Saha's work include Advanced Clustering Algorithms Research (9 papers), Face and Expression Recognition (8 papers) and Soil Geostatistics and Mapping (4 papers). Arkajyoti Saha is often cited by papers focused on Advanced Clustering Algorithms Research (9 papers), Face and Expression Recognition (8 papers) and Soil Geostatistics and Mapping (4 papers). Arkajyoti Saha collaborates with scholars based in India and United States. Arkajyoti Saha's co-authors include Swagatam Das, Abhirup Datta, Sumanta Basu, Kasper D. Hansen, Lukas M. Weber, Stephanie C. Hicks, Fulizi Xiong, Kirsten Koehler, Misti Levy Zamora and Drew R. Gentner and has published in prestigious journals such as Nature Communications, Journal of the American Statistical Association and Atmospheric Environment.

In The Last Decade

Arkajyoti Saha

18 papers receiving 260 citations

Peers

Arkajyoti Saha
Comparison fields: 5 of 66
  • Artificial Intelligence 79
  • Environmental Engineering 76
  • Molecular Biology 54
  • Computer Vision and Pattern Recognition 53
  • Health, Toxicology and Mutagenesis 48
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Abhishek Bhatt India
Yibo Huang China
Guoyi Zhang United States
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Citations per field, relative to Arkajyoti Saha
Arkajyoti Saha · 1×
Citations per year, relative to Arkajyoti Saha
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Countries citing papers authored by Arkajyoti Saha

Since Specialization
Citations

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

Fields of papers citing papers by Arkajyoti Saha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arkajyoti Saha

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 1
2 44
3 1
4 6
5 44
6 47
7
Fast Inference for Large Spatial Datasets using BRISC [R package BRISC version 0.2.0]
1
8 18
9 17
10
Axiomatic Generalization of the Membership Degree Weighting Function for Fuzzy C Means Clustering: Theoretical Development and Convergence Analysis
3
11 12
12 8
13 6
14 5
15 2
16 19
17 4
18 23

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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