David Kim

14.6k total citations · 5 hit papers
124 papers, 9.6k citations indexed

About

David Kim is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, David Kim has authored 124 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Atomic and Molecular Physics, and Optics, 26 papers in Artificial Intelligence and 22 papers in Computer Vision and Pattern Recognition. Recurrent topics in David Kim's work include Quantum and electron transport phenomena (21 papers), Vaccine Coverage and Hesitancy (18 papers) and Quantum Information and Cryptography (15 papers). David Kim is often cited by papers focused on Quantum and electron transport phenomena (21 papers), Vaccine Coverage and Hesitancy (18 papers) and Quantum Information and Cryptography (15 papers). David Kim collaborates with scholars based in United States, United Kingdom and Switzerland. David Kim's co-authors include Shahram Izadi, Otmar Hilliges, Jamie Shotton, Andrew Fitzgibbon, Steve Hodges, David Molyneaux, Richard A. Newcombe, Andrew J. Davison, Cherie R. Kagan and Carolyn B. Bridges and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

David Kim

120 papers receiving 9.2k citations

Hit Papers

KinectFusion: Real-time dense surface mapping and tracking 2011 2026 2016 2021 2011 2016 2017 2016 2015 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Kim United States 48 3.4k 2.3k 1.6k 1.4k 1.3k 124 9.6k
Xiaofeng Ren United States 47 4.1k 1.2× 1.7k 0.8× 252 0.2× 876 0.6× 454 0.3× 203 8.5k
Toshio Fukuda Japan 63 2.3k 0.7× 1.3k 0.6× 2.1k 1.3× 1.1k 0.8× 538 0.4× 1.8k 22.9k
Ramesh Raskar United States 66 9.4k 2.7× 904 0.4× 1.1k 0.7× 58 0.0× 3.3k 2.6× 400 16.8k
Russell H. Taylor United States 57 4.1k 1.2× 1.7k 0.7× 611 0.4× 71 0.1× 294 0.2× 501 16.9k
Hiroshi Ishikawa Japan 76 3.1k 0.9× 214 0.1× 6.0k 3.7× 3.4k 2.4× 84 0.1× 1.1k 25.1k
Jannick P. Rolland United States 48 2.3k 0.7× 416 0.2× 1.2k 0.8× 99 0.1× 1.6k 1.2× 445 9.6k
C.‐C. Jay Kuo United States 69 13.1k 3.8× 574 0.2× 4.2k 2.6× 56 0.0× 127 0.1× 1.2k 23.6k
Min Xu China 44 3.0k 0.9× 540 0.2× 1.2k 0.7× 370 0.3× 141 0.1× 467 8.4k
Zengfu Wang China 33 4.3k 1.3× 924 0.4× 1.1k 0.7× 1.4k 1.0× 128 0.1× 264 7.9k
Christopher M. Brown United States 36 2.9k 0.9× 867 0.4× 563 0.3× 66 0.0× 162 0.1× 127 7.6k

Countries citing papers authored by David Kim

Since Specialization
Citations

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

Fields of papers citing papers by David Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Kim

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

All Works

20 of 20 papers shown
1.
Naik, Ravi, Bethany M. Niedzielski, David Kim, et al.. (2025). Photon blockade in a Tavis-Cummings system. Physical Review Applied. 24(4).
2.
Lazar, Jeffrey, et al.. (2024). Prometheus: An open-source neutrino telescope simulation. Computer Physics Communications. 304. 109298–109298. 4 indexed citations
3.
Karamlou, Amir H., Ilan T. Rosen, Agustín Di Paolo, et al.. (2024). Probing entanglement in a 2D hard-core Bose–Hubbard lattice. Nature. 629(8012). 561–566. 14 indexed citations
4.
Rosen, Ilan T., Max Hays, Amir H. Karamlou, et al.. (2024). A synthetic magnetic vector potential in a 2D superconducting qubit array. Nature Physics. 20(12). 1881–1887. 9 indexed citations
5.
Kim, David, Michael J. Thrall, Pamela Michelow, et al.. (2024). The current state of digital cytology and artificial intelligence (AI): global survey results from the American Society of Cytopathology Digital Cytology Task Force. Journal of the American Society of Cytopathology. 13(5). 319–328. 13 indexed citations
6.
Kim, David, Oscar Lin, Momin T. Siddiqui, et al.. (2023). The Current State of Whole Slide Imaging and Artificial Intelligence in Cytology Practice: Global Survey Results from the American Society of Cytopathology Digital Cytology White Paper Task Force. Journal of the American Society of Cytopathology. 12(5). S72–S73. 1 indexed citations
7.
Kim, David, Kaitlin E. Sundling, Renu K. Virk, et al.. (2023). Digital cytology part 2: artificial intelligence in cytology: a concept paper with review and recommendations from the American Society of Cytopathology Digital Cytology Task Force. Journal of the American Society of Cytopathology. 13(2). 97–110. 33 indexed citations
8.
Hays, Max, Youngkyu Sung, Bharath Kannan, et al.. (2023). High-Fidelity, Frequency-Flexible Two-Qubit Fluxonium Gates with a Transmon Coupler. Physical Review X. 13(3). 74 indexed citations
9.
Kim, David, Kaitlin E. Sundling, Renu K. Virk, et al.. (2023). Digital cytology part 1: digital cytology implementation for practice: a concept paper with review and recommendations from the American Society of Cytopathology Digital Cytology Task Force. Journal of the American Society of Cytopathology. 13(2). 86–96. 27 indexed citations
10.
Hazard, Thomas, Wayne Woods, Cyrus F. Hirjibehedin, et al.. (2023). Characterization of superconducting through-silicon vias as capacitive elements in quantum circuits. Applied Physics Letters. 123(15). 9 indexed citations
11.
Lienhard, Benjamin, Antti Vepsäläinen, Luke C. G. Govia, et al.. (2022). Deep-Neural-Network Discrimination of Multiplexed Superconducting-Qubit States. Physical Review Applied. 17(1). 27 indexed citations
12.
Karamlou, Amir H., Jochen Braumüller, Yariv Yanay, et al.. (2022). Quantum transport and localization in 1d and 2d tight-binding lattices. npj Quantum Information. 8(1). 36 indexed citations
13.
Braumüller, Jochen, Amir H. Karamlou, Yariv Yanay, et al.. (2021). Probing quantum information propagation with out-of-time-ordered correlators. Nature Physics. 18(2). 172–178. 82 indexed citations
14.
Braumüller, Jochen, Antti Vepsäläinen, Youngkyu Sung, et al.. (2020). Characterizing and Optimizing Qubit Coherence Based on SQUID Geometry. Physical Review Applied. 13(5). 48 indexed citations
15.
Lüpke, Uwe von, F. Beaudoin, Leigh Norris, et al.. (2020). Two-Qubit Spectroscopy of Spatiotemporally Correlated Quantum Noise in Superconducting Qubits. PRX Quantum. 1(1). 58 indexed citations
16.
Sung, Youngkyu, F. Beaudoin, Leigh Norris, et al.. (2019). Non-Gaussian noise spectroscopy with a superconducting qubit sensor. Nature Communications. 10(1). 3715–3715. 61 indexed citations
17.
Rabouw, Freddy T., Aurelio A. Rossinelli, Sriharsha V. Jayanti, et al.. (2018). Room-Temperature Strong Coupling of CdSe Nanoplatelets and Plasmonic Hole Arrays. Nano Letters. 19(1). 108–115. 34 indexed citations
18.
Wang, Joel I-Jan, Daniel Rodan‐Legrain, Landry Bretheau, et al.. (2018). Coherent control of a hybrid superconducting circuit made with graphene-based van der Waals heterostructures. Nature Nanotechnology. 14(2). 120–125. 121 indexed citations
19.
Kress, Stephan J. P., Jian Cui, Patrik Rohner, et al.. (2017). A customizable class of colloidal-quantum-dot metallic lasers and amplifiers. Science Advances. 3(9). e1700688–e1700688. 49 indexed citations
20.
Williams, Walter W., Peng-Jun Lu, Alissa O’Halloran, et al.. (2015). Vaccination coverage among adults, excluding influenza vaccination - United States, 2013.. PubMed. 64(4). 95–102. 153 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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