Phila Rembold

11 total papers · 688 total citations
6 papers, 451 citations indexed

About

Phila Rembold is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Structural Biology. According to data from OpenAlex, Phila Rembold has authored 6 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Atomic and Molecular Physics, and Optics, 4 papers in Artificial Intelligence and 1 paper in Structural Biology. Recurrent topics in Phila Rembold's work include Quantum Information and Cryptography (4 papers), Quantum Computing Algorithms and Architecture (3 papers) and Spectroscopy and Quantum Chemical Studies (1 paper). Phila Rembold is often cited by papers focused on Quantum Information and Cryptography (4 papers), Quantum Computing Algorithms and Architecture (3 papers) and Spectroscopy and Quantum Chemical Studies (1 paper). Phila Rembold collaborates with scholars based in Germany, Italy and Austria. Phila Rembold's co-authors include Simone Montangero, Tommaso Calarco, Marco Rossignolo, Hannes Pichler, Ahmed Omran, A. S. Zibrov, Giulia Semeghini, Harry Levine, Alexander Keesling and Jian Cui and has published in prestigious journals such as Science, Computer Physics Communications and Physical review. A.

In The Last Decade

Phila Rembold

4 papers receiving 440 citations

Hit Papers

Generation and manipulati... 2019 2026 2021 2023 2019 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Phila Rembold 394 327 37 20 18 6 451
Marco Rossignolo 430 1.1× 318 1.0× 55 1.5× 22 1.1× 22 1.2× 4 494
Aline Vernier 507 1.3× 237 0.7× 36 1.0× 24 1.2× 30 1.7× 6 547
Matthew Ebert 402 1.0× 303 0.9× 12 0.3× 32 1.6× 35 1.9× 10 513
C. S. Wood 422 1.1× 331 1.0× 22 0.6× 16 0.8× 22 1.2× 5 467
Frank Ziesel 359 0.9× 298 0.9× 47 1.3× 9 0.5× 13 0.7× 10 408
Hyosub Kim 356 0.9× 187 0.6× 24 0.6× 18 0.9× 21 1.2× 15 404
Raphael Kaubruegger 363 0.9× 289 0.9× 32 0.9× 28 1.4× 17 0.9× 8 446
Leigh Norris 368 0.9× 335 1.0× 38 1.0× 35 1.8× 32 1.8× 13 423
Aishwarya Kumar 365 0.9× 264 0.8× 22 0.6× 7 0.3× 33 1.8× 17 422
Jeeva S. Anandan 445 1.1× 261 0.8× 88 2.4× 12 0.6× 22 1.2× 8 478

Countries citing papers authored by Phila Rembold

Since Specialization
Citations

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

Fields of papers citing papers by Phila Rembold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phila Rembold

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

All Works

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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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