Satish Chandra

63 total papers · 833 total citations
45 papers, 542 citations indexed

About

Satish Chandra is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Satish Chandra has authored 45 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 8 papers in Computer Networks and Communications. Recurrent topics in Satish Chandra's work include Medical Image Segmentation Techniques (6 papers), Service-Oriented Architecture and Web Services (5 papers) and AI in cancer detection (4 papers). Satish Chandra is often cited by papers focused on Medical Image Segmentation Techniques (6 papers), Service-Oriented Architecture and Web Services (5 papers) and AI in cancer detection (4 papers). Satish Chandra collaborates with scholars based in India, United States and Canada. Satish Chandra's co-authors include Harinder Singh, Satya Prakash Ghrera, Reema Aswani, Eran Yahav, Marco Pistoia, Stephen J. Fink, Arpan Kumar Kar, H. W. Toolan, Stefano De Stefani and Robert Schrèk and has published in prestigious journals such as The Journal of Cell Biology, JNCI Journal of the National Cancer Institute and International Journal of Rock Mechanics and Mining Sciences.

In The Last Decade

Satish Chandra

41 papers receiving 504 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Satish Chandra 203 93 76 73 67 45 542
Jinze Liu 264 1.3× 82 0.9× 27 0.4× 66 0.9× 38 0.6× 46 483
Ameen Banjar 186 0.9× 101 1.1× 66 0.9× 60 0.8× 117 1.7× 45 551
Waleed Alomoush 236 1.2× 134 1.4× 84 1.1× 91 1.2× 17 0.3× 34 534
Mohd Arfian Ismail 236 1.2× 46 0.5× 119 1.6× 126 1.7× 64 1.0× 66 502
Eslam Al Maghayreh 207 1.0× 79 0.8× 85 1.1× 55 0.8× 43 0.6× 36 464
Fawad Khan 194 1.0× 122 1.3× 94 1.2× 129 1.8× 28 0.4× 56 482
Souham Meshoul 287 1.4× 165 1.8× 54 0.7× 61 0.8× 35 0.5× 75 604
Beizhan Wang 200 1.0× 136 1.5× 221 2.9× 157 2.2× 50 0.7× 57 593
Long Yu 120 0.6× 129 1.4× 112 1.5× 146 2.0× 91 1.4× 43 563
Wan Mohd Nazmee Wan Zainon 244 1.2× 115 1.2× 38 0.5× 99 1.4× 20 0.3× 48 515

Countries citing papers authored by Satish Chandra

Since Specialization
Citations

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

Fields of papers citing papers by Satish Chandra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satish Chandra

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

All Works

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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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