Komal Sanjeev

464 total citations
4 papers, 94 citations indexed

About

Komal Sanjeev is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Komal Sanjeev has authored 4 papers receiving a total of 94 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Komal Sanjeev's work include CRISPR and Genetic Engineering (1 paper), RNA modifications and cancer (1 paper) and Cryptography and Data Security (1 paper). Komal Sanjeev is often cited by papers focused on CRISPR and Genetic Engineering (1 paper), RNA modifications and cancer (1 paper) and Cryptography and Data Security (1 paper). Komal Sanjeev collaborates with scholars based in India and Ireland. Komal Sanjeev's co-authors include Anmol Kiran, Pavel V. Baranov, Ajit Chaturvedi, Yohan Jarosz, Barbara Piasecka, Marta Rosikiewicz, Walid H. Gharib, Anne Niknejad, Aurélie Comte and Frederic Bastian and has published in prestigious journals such as Nucleic Acids Research and METRON.

In The Last Decade

Komal Sanjeev

3 papers receiving 94 citations

Peers

Komal Sanjeev

MB

CR

IMMUN

GENET

CCM

Tera Bowers United States

Justin Hong United States

Yiwei Lai China

Ines Rabano United States

Qingyu Cheng China

Boying Gong United States

Dongshunyi Li United States

Miao Zhu China

Yi‐Lan Weng United States

Xueyun Bi China

Tera Bowers United States

Komal Sanjeev

75 ×0.8

MB

28 ×1.1

CR

7 ×1.0

IMMUN

6 ×2.0

GENET

0 ×0.0

CCM

Citations per year, relative to Komal Sanjeev Komal Sanjeev (= 1×) peers Tera Bowers

Countries citing papers authored by Komal Sanjeev

Since Specialization

Citations

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

Fields of papers citing papers by Komal Sanjeev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Komal Sanjeev

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

All Works

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4 of 4 papers shown

1.

Sanjeev, Komal, et al.. (2024). An Accelerator to Additive Homomorphism to Handle Encrypted Data. 19(1). 1–25.

2.

Kiran, Anmol, et al.. (2012). Darned in 2013: inclusion of model organisms and linking with Wikipedia. Nucleic Acids Research. 41(D1). D258–D261. 91 indexed citations

3.

Bastian, Frederic, Aurélie Comte, Walid H. Gharib, et al.. (2010). Bgee: a database for the study of gene expression evolution. 1. 1 indexed citations

4.

Chaturvedi, Ajit, et al.. (2001). Multi-stage estimation procedures for the "range" of two-parameter uniform distribution. METRON. 179–186. 2 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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