A. Krishna

2.1k total citations
2 papers, 10 citations indexed

About

A. Krishna is a scholar working on Artificial Intelligence, Control and Systems Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, A. Krishna has authored 2 papers receiving a total of 10 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Control and Systems Engineering and 1 paper in Atomic and Molecular Physics, and Optics. Recurrent topics in A. Krishna's work include Quantum Mechanics and Applications (1 paper), Fault Detection and Control Systems (1 paper) and Anomaly Detection Techniques and Applications (1 paper). A. Krishna is often cited by papers focused on Quantum Mechanics and Applications (1 paper), Fault Detection and Control Systems (1 paper) and Anomaly Detection Techniques and Applications (1 paper). A. Krishna collaborates with scholars based in India, France and United States. A. Krishna's co-authors include Paul Boniol, Ruey S. Tsay, Michael J. Franklin, Qinghua Liu, Aaron J. Elmore, Mong‐Han Huang, Themis Palpanas and John Paparrizos and has published in prestigious journals such as The VLDB Journal and Quantum Information Processing.

In The Last Decade

A. Krishna

1 paper receiving 10 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
A. Krishna India	1	9	8	4	2	1	2	10
A. Ryzhikov Russia	3	10 1.1×	5 0.6×	3 0.8×		1 1.0×	6	13
A. Mughal United States	3	8 0.9×	9 1.1×	9 2.3×			7	17
Siu-Ming Yiu Hong Kong	2	15 1.7×	3 0.4×	3 0.8×		1 1.0×	2	16
X. K. Zhou China	2	6 0.7×	7 0.9×	2 0.5×			4	13
Iroro Orife United States	3	12 1.3×	6 0.8×	1 0.3×			6	19
A. Ashkenazi Canada	2	7 0.8×	3 0.4×	3 0.8×			2	14
L. F. Chaparro Sierra Colombia	3	9 1.0×	2 0.3×	3 0.8×	1 0.5×		8	18
Artidoro Pagnoni United States	2	6 0.7×	2 0.3×	3 0.8×			4	10
Kelley Dempsey Egypt	4	5 0.6×	3 0.4×	8 2.0×		1 1.0×	5	20

Countries citing papers authored by A. Krishna

Since Specialization

Citations

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

Fields of papers citing papers by A. Krishna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Krishna

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

All Works

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2 of 2 papers shown

1.

Boniol, Paul, A. Krishna, Qinghua Liu, et al.. (2025). VUS: effective and efficient accuracy measures for time-series anomaly detection. The VLDB Journal. 34(3). 10 indexed citations

2.

Krishna, A., et al.. (2025). Bidirectional quantum teleportation using quantum walks. Quantum Information Processing. 24(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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