Ian Kivlichan

1.3k total citations
10 papers, 664 citations indexed

About

Ian Kivlichan is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Safety Research. According to data from OpenAlex, Ian Kivlichan has authored 10 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Atomic and Molecular Physics, and Optics and 1 paper in Safety Research. Recurrent topics in Ian Kivlichan's work include Quantum Information and Cryptography (5 papers), Quantum Computing Algorithms and Architecture (5 papers) and Quantum many-body systems (3 papers). Ian Kivlichan is often cited by papers focused on Quantum Information and Cryptography (5 papers), Quantum Computing Algorithms and Architecture (5 papers) and Quantum many-body systems (3 papers). Ian Kivlichan collaborates with scholars based in United States, Australia and Canada. Ian Kivlichan's co-authors include Alán Aspuru‐Guzik, Ryan Babbush, Jarrod R. McClean, Craig Gidney, Nathan Wiebe, Garnet Kin‐Lic Chan, Dominic W. Berry, Peter J. Love, Rachel Rosen and Nitesh Goyal and has published in prestigious journals such as Physical Review Letters, PLoS ONE and Physical Review B.

In The Last Decade

Ian Kivlichan

10 papers receiving 628 citations

Peers

Ian Kivlichan

AI

AMPO

CTM

MC

EEE

Kenneth Wright United States

Hendrik Poulsen Nautrup Austria

Xianyi Zhou China

Abhinav Anand Canada

Dominik Hangleiter United States

Benjamin J. Brown Australia

Fengping Jin Germany

Francesco Tacchino Switzerland

Sukin Sim United States

Zoë Holmes United States

Kenneth Wright United States

Ian Kivlichan

848 ×1.6

AI

711 ×1.9

AMPO

110 ×1.4

CTM

43 ×0.8

MC

124 ×3.0

EEE

Citations per year, relative to Ian Kivlichan Ian Kivlichan (= 1×) peers Kenneth Wright

Countries citing papers authored by Ian Kivlichan

Since Specialization

Citations

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

Fields of papers citing papers by Ian Kivlichan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Kivlichan

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

All Works

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10 of 10 papers shown

1.

Achiam, Joshua, et al.. (2024). Rule Based Rewards for Language Model Safety. 108877–108901. 1 indexed citations

2.

Goyal, Nitesh, Ian Kivlichan, Rachel Rosen, & Lucy Vasserman. (2022). Is Your Toxicity My Toxicity? Exploring the Impact of Rater Identity on Toxicity Annotation. Proceedings of the ACM on Human-Computer Interaction. 6(CSCW2). 1–28. 37 indexed citations

3.

Díaz, Mark, Ian Kivlichan, Rachel Rosen, et al.. (2022). CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation. arXiv (Cornell University). 2342–2351. 42 indexed citations

4.

Lees, Alyssa, et al.. (2021). Capturing Covertly Toxic Speech via Crowdsourcing. 14–20. 11 indexed citations

5.

Kivlichan, Ian, Craig Gidney, Dominic W. Berry, et al.. (2020). Improved Fault-Tolerant Quantum Simulation of Condensed-Phase Correlated Electrons via Trotterization. Quantum. 4. 296–296. 104 indexed citations

6.

Fried, Eliot, Nicolas P. D. Sawaya, Yudong Cao, et al.. (2018). qTorch: The quantum tensor contraction handler. PLoS ONE. 13(12). e0208510–e0208510. 23 indexed citations

7.

Kivlichan, Ian, Jarrod R. McClean, Nathan Wiebe, et al.. (2018). Quantum Simulation of Electronic Structure with Linear Depth and Connectivity. Physical Review Letters. 120(11). 110501–110501. 254 indexed citations

8.

Babbush, Ryan, Dominic W. Berry, Yuval R. Sanders, et al.. (2017). Exponentially more precise quantum simulation of fermions in the configuration interaction representation. Quantum Science and Technology. 3(1). 15006–15006. 55 indexed citations

9.

Babbush, Ryan, et al.. (2016). Exponentially more precise quantum simulation of fermions in second quantization. New Journal of Physics. 18(3). 33032–33032. 85 indexed citations

10.

Reijnders, Anjan, Yao Tian, Luke J. Sandilands, et al.. (2014). Optical evidence of surface state suppression in Bi-based topological insulators. Physical Review B. 89(7). 52 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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