Surojit Chatterjee

1.1k total citations
8 papers, 685 citations indexed

About

Surojit Chatterjee is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Surojit Chatterjee has authored 8 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Surojit Chatterjee's work include Advanced Clustering Algorithms Research (4 papers), Image Retrieval and Classification Techniques (2 papers) and Data Management and Algorithms (2 papers). Surojit Chatterjee is often cited by papers focused on Advanced Clustering Algorithms Research (4 papers), Image Retrieval and Classification Techniques (2 papers) and Data Management and Algorithms (2 papers). Surojit Chatterjee collaborates with scholars based in United States, Sweden and India. Surojit Chatterjee's co-authors include Gholamhosein Sheikholeslami, Aidong Zhang, Anirban Pal, Dantong Yu, Yuchen Wu, Eric Herlenius, Daniel Silva, Yuan Wang, Ricardo Vinuesa and Aidong Zhang and has published in prestigious journals such as The VLDB Journal, Very Large Data Bases and Anesthesia Essays and Researches.

In The Last Decade

Surojit Chatterjee

8 papers receiving 616 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Surojit Chatterjee United States 5 454 293 174 158 70 8 685
Younès Bennani France 16 489 1.1× 138 0.5× 66 0.4× 206 1.3× 65 0.9× 94 673
Zhengzheng Xing Canada 8 402 0.9× 393 1.3× 76 0.4× 61 0.4× 13 0.2× 8 669
Jihong Ouyang China 17 564 1.2× 71 0.2× 115 0.7× 131 0.8× 42 0.6× 77 814
Stanley A. Shanies United States 5 342 0.8× 107 0.4× 63 0.4× 152 1.0× 20 0.3× 6 632
Caiming Zhong China 13 369 0.8× 119 0.4× 75 0.4× 271 1.7× 121 1.7× 42 632
Liudmila Ulanova United States 10 414 0.9× 489 1.7× 99 0.6× 105 0.7× 14 0.2× 11 759
Mohammad Taha Bahadori United States 12 656 1.4× 105 0.4× 37 0.2× 77 0.5× 24 0.3× 19 837
Gholamhosein Sheikholeslami United States 11 617 1.4× 383 1.3× 181 1.0× 381 2.4× 73 1.0× 18 1.0k

Countries citing papers authored by Surojit Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Surojit Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Surojit Chatterjee

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

All Works

8 of 8 papers shown
1.
Vinuesa, Ricardo, et al.. (2022). An LSTM-based Recurrent Neural Network for Neonatal Sepsis Detection in Preterm Infants. 1–6. 2 indexed citations
2.
Zaheer, Manzil, Amr Ahmed, Yuan Wang, et al.. (2019). Uncovering Hidden Structure in Sequence Data via Threading Recurrent Models. 186–194. 1 indexed citations
4.
Yu, Dantong, Surojit Chatterjee, & Aidong Zhang. (2003). Efficiently detecting arbitrary shaped clusters in image databases. 187–194. 1 indexed citations
5.
Sheikholeslami, Gholamhosein, et al.. (2002). NeuroMerge: an approach for merging heterogeneous features in content-based image retrieval systems. 106–113. 4 indexed citations
6.
Sheikholeslami, Gholamhosein, Surojit Chatterjee, & Aidong Zhang. (2000). WaveCluster: a wavelet-based clustering approach for spatial data in very large databases. The VLDB Journal. 8(3-4). 289–304. 172 indexed citations
7.
Sheikholeslami, Gholamhosein, Surojit Chatterjee, & Aidong Zhang. (1998). WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases. Very Large Data Bases. 428–439. 465 indexed citations
8.
Zhang, Aidong, Gholamhosein Sheikholeslami, Surojit Chatterjee, & Dantong Yu. (1998). Efficiently Detecting Arbitrary Shaped Clusters in Very Large Datasets with High Dimensions. 4 indexed citations

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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