Philip Waite

435 total citations
10 papers, 256 citations indexed

About

Philip Waite is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Artificial Intelligence. According to data from OpenAlex, Philip Waite has authored 10 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Nuclear and High Energy Physics, 3 papers in Astronomy and Astrophysics and 2 papers in Artificial Intelligence. Recurrent topics in Philip Waite's work include Particle physics theoretical and experimental studies (7 papers), Cosmology and Gravitation Theories (3 papers) and High-Energy Particle Collisions Research (2 papers). Philip Waite is often cited by papers focused on Particle physics theoretical and experimental studies (7 papers), Cosmology and Gravitation Theories (3 papers) and High-Energy Particle Collisions Research (2 papers). Philip Waite collaborates with scholars based in United Kingdom, United States and India. Philip Waite's co-authors include Michael Spannowsky, Michael Spannowsky, Andreas Maier, Graham D. Kribs, Richard Ruíz, Michael Spannowsky, Heidi Rzehak, Manimala Mitra, C. P. Hays and Valentin V. Khoze and has published in prestigious journals such as Nuclear Physics B, Journal of High Energy Physics and Physical review. D.

In The Last Decade

Philip Waite

10 papers receiving 253 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philip Waite United Kingdom	6	149	66	43	39	24	10	256
Adriano Mele Italy	11	160 1.1×	22 0.3×	27 0.6×	14 0.4×	64 2.7×	34	233
Aritra Biswas India	10	164 1.1×	19 0.3×	45 1.0×	6 0.2×	11 0.5×	21	256
Partha Sarathi Pal India	7	101 0.7×	13 0.2×	65 1.5×	11 0.3×	74 3.1×	35	233
Christine Hennig Germany	10	153 1.0×	15 0.2×	39 0.9×	14 0.4×	9 0.4×	34	235
Juan Pavez Chile	7	187 1.3×	118 1.8×	36 0.8×	16 0.4×	10 0.4×	14	314
J.P. Qian China	10	251 1.7×	43 0.7×	49 1.1×	5 0.1×	11 0.5×	22	320
V. A. Nechitaǐlo Russia	10	152 1.0×	6 0.1×	11 0.3×	13 0.3×	18 0.8×	26	272
Matthias Heller Germany	10	74 0.5×	18 0.3×	9 0.2×	5 0.1×	86 3.6×	46	265
Frank Gaede Germany	12	428 2.9×	99 1.5×	45 1.0×	31 0.8×		39	526

Countries citing papers authored by Philip Waite

Since Specialization

Citations

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

Fields of papers citing papers by Philip Waite

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Waite

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Waite. A scholar is included among the top collaborators of Philip Waite 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 Philip Waite. Philip Waite 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.

Waite, Philip, et al.. (2024). Current Balancing of Parallel High Current SiC Half Bridge Modules using Delay Based Active Gate Driving with Inter-Device Inductances. 1073–1080. 1 indexed citations

2.

Khoze, Valentin V., et al.. (2019). Precision measurements for the Higgsploding standard model. Journal of Physics G Nuclear and Particle Physics. 46(6). 65004–65004. 5 indexed citations

3.

Spannowsky, Michael, et al.. (2019). Solving differential equations with neural networks: Applications to the calculation of cosmological phase transitions. Physical review. D. 100(1). 79 indexed citations

4.

Spannowsky, Michael, et al.. (2019). Adversarially-trained autoencoders for robust unsupervised new physics searches. Journal of High Energy Physics. 2019(10). 73 indexed citations

5.

Ruíz, Richard, Michael Spannowsky, & Philip Waite. (2017). Heavy neutrinos from gluon fusion. Physical review. D. 96(5). 21 indexed citations

6.

Hays, C. P., Manimala Mitra, Michael Spannowsky, & Philip Waite. (2017). Prospects for new physics in τ → lμμ at current and future colliders. Journal of High Energy Physics. 2017(5). 6 indexed citations

7.

Kribs, Graham D., Andreas Maier, Heidi Rzehak, Michael Spannowsky, & Philip Waite. (2017). Electroweak oblique parameters as a probe of the trilinear Higgs boson self-interaction. Physical review. D. 95(9). 36 indexed citations

8.

Lenz, Alexander, et al.. (2014). Investigating bounds on decoherence in quantum mechanics via B and D-mixing. Nuclear Physics B. 888. 129–136. 1 indexed citations

9.

Waite, Philip, et al.. (2011). Optimised power converter for multi-MW direct drive permanent magnet wind turbines. European Conference on Power Electronics and Applications. 1–10. 31 indexed citations

10.

Kaderavek, Joan N., et al.. (2004). Substance Abuse in Sixth Grade: Results of a Prevention Program on Adolescents' Self-Reported Drug-Related Attitudes and Behavior. Psychological Reports. 94(1). 225–226. 3 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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