Ivan Kassal

4.4k total citations · 2 hit papers
46 papers, 2.9k citations indexed

About

Ivan Kassal is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Ivan Kassal has authored 46 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Atomic and Molecular Physics, and Optics, 14 papers in Artificial Intelligence and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Ivan Kassal's work include Spectroscopy and Quantum Chemical Studies (17 papers), Organic Electronics and Photovoltaics (13 papers) and Quantum Information and Cryptography (13 papers). Ivan Kassal is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (17 papers), Organic Electronics and Photovoltaics (13 papers) and Quantum Information and Cryptography (13 papers). Ivan Kassal collaborates with scholars based in Australia, United States and United Kingdom. Ivan Kassal's co-authors include Alán Aspuru‐Guzik, A. G. White, Alessandro Fedrizzi, Matthew A. Broome, Samantha N. Hood, B. P. Lanyon, Masoud Mohseni, James Whitfield, Takuya Kitagawa and Erez Berg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

Ivan Kassal

44 papers receiving 2.8k citations

Hit Papers

Towards quantum chemistry on a quantum computer 2010 2026 2015 2020 2010 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan Kassal Australia 25 1.7k 1.5k 703 329 289 46 2.9k
Dong Yang China 22 1.7k 1.0× 1.7k 1.1× 428 0.6× 66 0.2× 38 0.1× 57 2.6k
Ivan Rungger Ireland 29 1.6k 1.0× 595 0.4× 1.7k 2.4× 73 0.2× 137 0.5× 108 3.5k
Alex W. Chin United Kingdom 30 3.8k 2.3× 1.4k 0.9× 1.2k 1.8× 442 1.3× 36 0.1× 81 5.0k
Alán Aspuru-Guzik United States 14 763 0.5× 209 0.1× 269 0.4× 70 0.2× 83 0.3× 24 1.2k
Brendon W. Lovett United Kingdom 28 2.5k 1.5× 1.3k 0.9× 652 0.9× 16 0.0× 47 0.2× 106 3.3k
Milena Grifoni Germany 32 3.9k 2.4× 940 0.6× 1.1k 1.6× 61 0.2× 62 0.2× 130 5.0k
Xing Gao China 20 631 0.4× 203 0.1× 707 1.0× 65 0.2× 40 0.1× 45 1.8k
Neil Shenvi United States 21 1.7k 1.0× 885 0.6× 370 0.5× 10 0.0× 414 1.4× 38 2.4k

Countries citing papers authored by Ivan Kassal

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Kassal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Kassal

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Kassal. A scholar is included among the top collaborators of Ivan Kassal 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 Ivan Kassal. Ivan Kassal 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.
Kassal, Ivan, et al.. (2024). Delocalisation enables efficient charge generation in organic photovoltaics, even with little to no energetic offset. Chemical Science. 15(13). 4779–4789. 9 indexed citations
2.
MacDonell, Ryan J., A. D. Rao, Joel Yuen-Zhou, et al.. (2023). Direct observation of geometric-phase interference in dynamics around a conical intersection. Nature Chemistry. 15(11). 1503–1508. 44 indexed citations
3.
MacDonell, Ryan J., et al.. (2023). Predicting molecular vibronic spectra using time-domain analog quantum simulation. Chemical Science. 14(35). 9439–9451. 17 indexed citations
4.
Kassal, Ivan, et al.. (2023). Jumping Kinetic Monte Carlo: Fast and Accurate Simulations of Partially Delocalized Charge Transport in Organic Semiconductors. The Journal of Physical Chemistry Letters. 14(15). 3757–3764. 11 indexed citations
5.
Gauger, Erik M., et al.. (2021). Environmentally Improved Coherent Light Harvesting. The Journal of Physical Chemistry Letters. 12(26). 6143–6151. 15 indexed citations
6.
Kassal, Ivan, et al.. (2021). The Decisive Role of Carrier Delocalisation in Organic Electronics. 1 indexed citations
7.
Hood, Samantha N., Nasim Zarrabi, Paul Meredith, Ivan Kassal, & Ardalan Armin. (2019). Measuring Energetic Disorder in Organic Semiconductors Using the Photogenerated Charge-Separation Efficiency. The Journal of Physical Chemistry Letters. 10(14). 3863–3870. 34 indexed citations
8.
Kassal, Ivan, et al.. (2019). Why are photosynthetic reaction centres dimeric?. Chemical Science. 10(41). 9576–9585. 6 indexed citations
9.
Collado‐Fregoso, Elisa, Samantha N. Hood, Bob C. Schroeder, et al.. (2017). Intercalated vs Nonintercalated Morphologies in Donor–Acceptor Bulk Heterojunction Solar Cells: PBTTT:Fullerene Charge Generation and Recombination Revisited. The Journal of Physical Chemistry Letters. 8(17). 4061–4068. 18 indexed citations
10.
Biggerstaff, D. N., René Heilmann, Markus Gräfe, et al.. (2016). Enhancing coherent transport in a photonic network using controllable decoherence. Nature Communications. 7(1). 11282–11282. 74 indexed citations
11.
Stolterfoht, Martin, et al.. (2016). Slower carriers limit charge generation in organic semiconductor light-harvesting systems. Nature Communications. 7(1). 11944–11944. 64 indexed citations
12.
Kassal, Ivan, et al.. (2015). Benchmarking Calculations of Excitonic Couplings between Bacteriochlorophylls. The Journal of Physical Chemistry B. 120(1). 25–32. 42 indexed citations
13.
Barz, Stefanie, Ivan Kassal, Martin Ringbauer, et al.. (2014). A two-qubit photonic quantum processor and its application to solving systems of linear equations. Scientific Reports. 4(1). 42653–42653. 72 indexed citations
14.
Kassal, Ivan, James Whitfield, Alejandro Perdomo‐Ortiz, Man‐Hong Yung, & Alán Aspuru‐Guzik. (2011). Simulating Chemistry Using Quantum Computers. Annual Review of Physical Chemistry. 62(1). 185–207. 191 indexed citations
15.
Kitagawa, Takuya, Matthew A. Broome, Alessandro Fedrizzi, et al.. (2011). Observation of Topologically Protected Bound States in Photonic Quantum Walks. I750–I750. 2 indexed citations
16.
Kassal, Ivan. (2010). Quantum Computation for Chemical Problems. PhDT.
17.
Broome, Matthew A., Alessandro Fedrizzi, B. P. Lanyon, et al.. (2010). Discrete Single-Photon Quantum Walks with Tunable Decoherence. Physical Review Letters. 104(15). 153602–153602. 292 indexed citations
18.
Lanyon, B. P., James Whitfield, Geoff Gillett, et al.. (2010). Towards quantum chemistry on a quantum computer. Nature Chemistry. 2(2). 106–111. 448 indexed citations breakdown →
19.
Lanyon, B. P., James Whitfield, M. E. Goggin, et al.. (2009). Towards molecular energy calculations on a quantum computer. arXiv (Cornell University). 1 indexed citations
20.
Eremin, Katherine, Jens Stenger, Alán Aspuru‐Guzik, et al.. (2008). Examination of pigments on Thai manuscripts: the first identification of copper citrate. Journal of Raman Spectroscopy. 39(8). 1057–1065. 24 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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