Akshay Wadia

531 total citations
5 papers, 114 citations indexed

About

Akshay Wadia is a scholar working on Artificial Intelligence, Genetics and Electrical and Electronic Engineering. According to data from OpenAlex, Akshay Wadia has authored 5 papers receiving a total of 114 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Genetics and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Akshay Wadia's work include Genomics and Rare Diseases (2 papers), Cancer Genomics and Diagnostics (2 papers) and Cryptography and Data Security (2 papers). Akshay Wadia is often cited by papers focused on Genomics and Rare Diseases (2 papers), Cancer Genomics and Diagnostics (2 papers) and Cryptography and Data Security (2 papers). Akshay Wadia collaborates with scholars based in United States. Akshay Wadia's co-authors include Amit Sahai, Beth A. Glenn, Roshan Bastani, Timothy R. Tangherlini, Catherine M. Crespi, Roja Bandari, Vwani Roychowdhury, Farhad Hormozdiari, Eleazar Eskin and Jong Wha J. Joo and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Information Theory and Genome Research.

In The Last Decade

Akshay Wadia

5 papers receiving 108 citations

Peers

Countries citing papers authored by Akshay Wadia

Since Specialization

Citations

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

Fields of papers citing papers by Akshay Wadia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akshay Wadia

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

All Works

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5 of 5 papers shown

#	Work	Indexed citations
1	“Mommy Blogs” and the Vaccination Exemption Narrative: Results From A Machine-Learning Approach for Story Aggregation on Parenting Social Media Sites 2016 ·JMIR Public Health and Surveillance ·Timothy R. Tangherlini, Vwani Roychowdhury, Beth A. Glenn, Catherine M. Crespi, Roja Bandari, Akshay Wadia, (unknown), (unknown), Roshan Bastani	67
2	Private Interactive Communication Across an Adversarial Channel 2015 ·IEEE Transactions on Information Theory ·Ran Gelles, Amit Sahai, Akshay Wadia	4
3	Identifying genetic relatives without compromising privacy 2014 ·Genome Research ·Dan He, Nicholas A. Furlotte, Farhad Hormozdiari, Jong Wha J. Joo, Akshay Wadia, Rafail Ostrovsky, Amit Sahai, Eleazar Eskin	28
4	Private interactive communication across an adversarial channel 2014 ·Ran Gelles, Amit Sahai, Akshay Wadia	4
5	Privacy preserving protocol for detecting genetic relatives using rare variants 2014 ·Bioinformatics ·Farhad Hormozdiari, Jong Wha J. Joo, Akshay Wadia, (unknown), (unknown), Amit Sahai, Eleazar Eskin	11

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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