Anant Kharkar

693 total citations · 1 hit paper
3 papers, 266 citations indexed

About

Anant Kharkar is a scholar working on Molecular Biology, Information Systems and Signal Processing. According to data from OpenAlex, Anant Kharkar has authored 3 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Information Systems and 1 paper in Signal Processing. Recurrent topics in Anant Kharkar's work include Machine Learning in Bioinformatics (1 paper), Protein Structure and Dynamics (1 paper) and Software Reliability and Analysis Research (1 paper). Anant Kharkar is often cited by papers focused on Machine Learning in Bioinformatics (1 paper), Protein Structure and Dynamics (1 paper) and Software Reliability and Analysis Research (1 paper). Anant Kharkar collaborates with scholars based in United States, Finland and United Kingdom. Anant Kharkar's co-authors include Charlotte Rochereau, George M. Church, Joanna Zhang, Gustaf Ahdritz, Surojit Biswas, Koushik Roy, Ratul Chowdhury, Peter K. Sorger, Nazim Bouatta and Mohammed AlQuraishi and has published in prestigious journals such as Nature Biotechnology and arXiv (Cornell University).

In The Last Decade

Anant Kharkar

3 papers receiving 259 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Single-sequence protein structure prediction using a language model and deep learning

2022 234 citations Ratul Chowdhury, Nazim Bouatta et al. Nature Biotechnology profile →

Peers

Countries citing papers authored by Anant Kharkar

Since Specialization

Citations

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

Fields of papers citing papers by Anant Kharkar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anant Kharkar

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

All Works

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3 of 3 papers shown

#	Work	Indexed citations
1	TrojanPuzzle: Covertly Poisoning Code-Suggestion Models 2024 ·Hojjat Aghakhani, Wei Dai, Andre Manoel, (unknown), Anant Kharkar, Christopher Kruegel, Giovanni Vigna, David J. Evans, (unknown), Robert B. Sim	12
2	Single-sequence protein structure prediction using a language model and deep learning breakdown → 2022 ·Nature Biotechnology ·Ratul Chowdhury, Nazim Bouatta, Surojit Biswas, (unknown), Anant Kharkar, Koushik Roy, Charlotte Rochereau, Gustaf Ahdritz, Joanna Zhang, George M. Church, Peter K. Sorger, Mohammed AlQuraishi	234
3	Learning to reduce false positives in analytic bug detectors 2022 ·arXiv (Cornell University) ·Anant Kharkar, (unknown), (unknown), Xiaoyu Liu, X. Shi, Colin B. Clement, Neel Sundaresan	20

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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