Sajal Mitra

459 total citations
5 papers, 28 citations indexed

About

Sajal Mitra is a scholar working on Molecular Biology, Computational Theory and Mathematics and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Sajal Mitra has authored 5 papers receiving a total of 28 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 1 paper in Health, Toxicology and Mutagenesis. Recurrent topics in Sajal Mitra's work include Machine Learning in Bioinformatics (2 papers), Bioinformatics and Genomic Networks (2 papers) and Computational Drug Discovery Methods (2 papers). Sajal Mitra is often cited by papers focused on Machine Learning in Bioinformatics (2 papers), Bioinformatics and Genomic Networks (2 papers) and Computational Drug Discovery Methods (2 papers). Sajal Mitra collaborates with scholars based in India, Malaysia and Italy. Sajal Mitra's co-authors include Debashis De, Массимилиано Феррара, Ali Ahmadian, Ferial Ghaemi, Karen N. Scott, Kerwin L. Rakness and Dipankar Das and has published in prestigious journals such as IEEE Access, Ozone Science and Engineering and Innovations in Systems and Software Engineering.

In The Last Decade

Sajal Mitra

4 papers receiving 26 citations

Peers

Sajal Mitra
Timothy Brunson United States
Luke E. Zabotka United States
Helge Hecht Czechia
Jason Yim United States
Cagatay Dursun United States
Sahar Alkhairy United States
Preeti Choudhary United Kingdom
Sajal Mitra
Citations per year, relative to Sajal Mitra Sajal Mitra (= 1×) peers Daniel Hvidberg Hansen

Countries citing papers authored by Sajal Mitra

Since Specialization
Citations

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

Fields of papers citing papers by Sajal Mitra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sajal Mitra

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

All Works

5 of 5 papers shown
2.
Mitra, Sajal, et al.. (2023). Determining human-coronavirus protein-protein interaction using machine intelligence. Medicine in Novel Technology and Devices. 18. 100228–100228. 7 indexed citations
3.
Das, Dipankar, et al.. (2022). Forecasting adversities of COVID-19 waves in India using intelligent computing. Innovations in Systems and Software Engineering. 20(4). 821–837. 1 indexed citations
4.
Mitra, Sajal, et al.. (2021). Determining Protein–Protein Interaction Using Support Vector Machine: A Review. IEEE Access. 9. 12473–12490. 16 indexed citations
5.
Mitra, Sajal, et al.. (2017). Ozone Plant Operations Under Drought Conditions. Ozone Science and Engineering. 39(3). 202–208. 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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