D. Rassi

624 total citations
31 papers, 508 citations indexed

About

D. Rassi is a scholar working on Atomic and Molecular Physics, and Optics, Cardiology and Cardiovascular Medicine and Surfaces, Coatings and Films. According to data from OpenAlex, D. Rassi has authored 31 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Atomic and Molecular Physics, and Optics, 8 papers in Cardiology and Cardiovascular Medicine and 8 papers in Surfaces, Coatings and Films. Recurrent topics in D. Rassi's work include Atomic and Molecular Physics (11 papers), Electron and X-Ray Spectroscopy Techniques (8 papers) and Laser-induced spectroscopy and plasma (6 papers). D. Rassi is often cited by papers focused on Atomic and Molecular Physics (11 papers), Electron and X-Ray Spectroscopy Techniques (8 papers) and Laser-induced spectroscopy and plasma (6 papers). D. Rassi collaborates with scholars based in United Kingdom. D. Rassi's co-authors include K J Ross, V Pejčev, T W Ottley, Michael J. Lewis, Simon Emery, Orhan Uzun, Michael White, Raoul van Loon, Jason Carson and G. K. James and has published in prestigious journals such as IEEE Transactions on Magnetics, Early Human Development and Physiological Measurement.

In The Last Decade

D. Rassi

29 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Rassi United Kingdom 15 331 126 113 101 90 31 508
Henrik Zimmermann Germany 14 97 0.3× 38 0.3× 117 1.0× 137 1.4× 15 0.2× 41 630
D.L. Kirk United Kingdom 12 198 0.6× 77 0.6× 12 0.1× 6 0.1× 51 0.6× 48 587
Akiko Okano Japan 15 153 0.5× 25 0.2× 111 1.0× 22 0.2× 7 0.1× 34 495
A Válek Hungary 13 104 0.3× 17 0.1× 20 0.2× 11 0.1× 189 2.1× 46 437
Jennifer C. Gibson Australia 11 276 0.8× 7 0.1× 66 0.6× 58 0.6× 63 0.7× 15 458
R. Haug France 10 137 0.4× 67 0.5× 55 0.5× 23 0.2× 37 0.4× 33 393
Jai Won Chung South Korea 14 186 0.6× 13 0.1× 23 0.2× 21 0.2× 5 0.1× 48 551
C. Brassard Canada 11 102 0.3× 3 0.0× 59 0.5× 23 0.2× 224 2.5× 19 614
H. Grahmann Germany 8 65 0.2× 16 0.1× 11 0.1× 17 0.2× 73 0.8× 25 362
Stephen M. Bobbio United States 11 132 0.4× 13 0.1× 25 0.2× 39 0.4× 13 0.1× 32 314

Countries citing papers authored by D. Rassi

Since Specialization
Citations

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

Fields of papers citing papers by D. Rassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Rassi

This figure shows the co-authorship network connecting the top 25 collaborators of D. Rassi. A scholar is included among the top collaborators of D. Rassi 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 D. Rassi. D. Rassi 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.
Carson, Jason, Michael J. Lewis, D. Rassi, & Raoul van Loon. (2019). A data-driven model to study utero-ovarian blood flow physiology during pregnancy. Biomechanics and Modeling in Mechanobiology. 18(4). 1155–1176. 23 indexed citations
2.
Emery, Simon, et al.. (2016). Influence of antenatal physical exercise on heart rate variability and QT variability. The Journal of Maternal-Fetal & Neonatal Medicine. 30(1). 79–84. 8 indexed citations
3.
Emery, Simon, et al.. (2016). Influence of physical exercise on baroreceptor sensitivity during pregnancy. The Journal of Maternal-Fetal & Neonatal Medicine. 30(5). 514–519. 11 indexed citations
4.
Emery, Simon, et al.. (2015). Recruitment of pregnant women to an exercise-intervention study. Journal of Obstetrics and Gynaecology. 36(2). 200–207. 9 indexed citations
5.
Emery, Simon, et al.. (2015). Changes in heart rate variability and QT variability during the first trimester of pregnancy. Physiological Measurement. 36(3). 531–545. 19 indexed citations
6.
Lewis, Michael J., et al.. (2006). Analysis of the QT interval and its variability in healthy adults during rest and exercise. Physiological Measurement. 27(11). 1211–1226. 9 indexed citations
7.
Rassi, D., et al.. (2004). Time domain correlation analysis of heart rate variability in preterm neonates. Early Human Development. 81(4). 341–350. 13 indexed citations
8.
Rassi, D., et al.. (2002). Dynamic analysis of beat-to-beat fetal heart rate variability recorded by squid magnetometer: quantification of sympatho-vagal balance. Early Human Development. 66(1). 1–10. 31 indexed citations
9.
Rassi, D., et al.. (2000). SQUIDS AND THEIR APPLICATIONS. 633–638.
10.
Crowe, John, John M. Herbert, Xianzheng Huang, et al.. (1995). Sequential recording of the abdominal fetal electrocardiogram and magnetocardiogram. Physiological Measurement. 16(1). 43–47. 20 indexed citations
11.
Rassi, D. & Michael J. Lewis. (1995). Power spectral analysis of the foetal magnetocardiogram. Physiological Measurement. 16(2). 111–120. 18 indexed citations
12.
Davies, Shân, et al.. (1994). Magnetic susceptibility mapping of the human thorax using a SQUID Biomagnetometer. Journal of Medical Engineering & Technology. 18(4). 127–133. 3 indexed citations
13.
Melville, D., et al.. (1988). Rapid methods for the calculation of the magnetic fields associated with the human thorax. IEEE Transactions on Magnetics. 24(2). 1978–1980. 2 indexed citations
14.
Rassi, D. & K J Ross. (1980). The ejected-electron spectrum of barium vapour autoionising and Auger levels excited by 20-500 eV electrons. Journal of Physics B Atomic and Molecular Physics. 13(23). 4683–4694. 16 indexed citations
15.
Pejčev, V, T W Ottley, D. Rassi, & K J Ross. (1978). High-resolution ejected-electron spectrum of calcium vapour autoionising levels excited by low-energy electron impact. Journal of Physics B Atomic and Molecular Physics. 11(3). 531–539. 31 indexed citations
16.
Pejčev, V, T W Ottley, D. Rassi, & K J Ross. (1977). Ejected-electron spectrum of Mg I and Mg II autoionising levels between 20 and 53 eV excited by low-energy electron impact on magnesium vapour. Journal of Physics B Atomic and Molecular Physics. 10(12). 2389–2398. 18 indexed citations
17.
Rassi, D., V Pejčev, & K J Ross. (1977). The ejected-electron spectrum of Li I autoionising levels excited by low-energy electron impact on lithium vapour. Journal of Physics B Atomic and Molecular Physics. 10(17). 3535–3542. 45 indexed citations
18.
Pejčev, V, D. Rassi, K J Ross, & T W Ottley. (1977). High-resolution ejected-electron spectrum of rubidium vapour autoionising levels excited by electrons with kinetic energies in the range 27 to 400 eV. Journal of Physics B Atomic and Molecular Physics. 10(9). 1653–1659. 32 indexed citations
19.
Rassi, D., V Pejčev, T W Ottley, & K J Ross. (1977). High-resolution ejected-electron spectrum of magnesium autoionising levels following two-electron excitation by low-energy electron impact. Journal of Physics B Atomic and Molecular Physics. 10(14). 2913–2921. 35 indexed citations
20.
Ross, K J, T W Ottley, V Pejčev, & D. Rassi. (1976). The ejected-electron spectrum of sodium vapour autoionizing levels excited by 35 to 400 eV electrons. Journal of Physics B Atomic and Molecular Physics. 9(18). 3237–3245. 49 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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