Adam Wasserman

1.4k total citations
50 papers, 1.0k citations indexed

About

Adam Wasserman is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Physical and Theoretical Chemistry. According to data from OpenAlex, Adam Wasserman has authored 50 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Atomic and Molecular Physics, and Optics, 17 papers in Materials Chemistry and 13 papers in Physical and Theoretical Chemistry. Recurrent topics in Adam Wasserman's work include Advanced Chemical Physics Studies (39 papers), Spectroscopy and Quantum Chemical Studies (15 papers) and Machine Learning in Materials Science (13 papers). Adam Wasserman is often cited by papers focused on Advanced Chemical Physics Studies (39 papers), Spectroscopy and Quantum Chemical Studies (15 papers) and Machine Learning in Materials Science (13 papers). Adam Wasserman collaborates with scholars based in United States, Germany and South Korea. Adam Wasserman's co-authors include Morrel H. Cohen, Kieron Burke, Peter Elliott, Yuming Shi, Martín A. Mosquera, Eunji Sim, Min Cheol Kim, Neepa T. Maitra, Michele Pavanello and Nimrod Moiseyev and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Physical Review A.

In The Last Decade

Adam Wasserman

47 papers receiving 989 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adam Wasserman United States 18 812 352 209 162 123 50 1.0k
Hilke Bahmann Germany 19 607 0.7× 284 0.8× 151 0.7× 158 1.0× 138 1.1× 30 907
Benjamin Helmich‐Paris Germany 15 600 0.7× 298 0.8× 187 0.9× 125 0.8× 142 1.2× 23 986
Ryan M. Richard United States 18 795 1.0× 430 1.2× 243 1.2× 140 0.9× 164 1.3× 34 1.2k
Jun Shen United States 21 941 1.2× 387 1.1× 158 0.8× 120 0.7× 102 0.8× 50 1.2k
Bingbing Suo China 19 571 0.7× 407 1.2× 173 0.8× 224 1.4× 116 0.9× 84 1.1k
Ajith Perera United States 20 1.0k 1.2× 307 0.9× 260 1.2× 171 1.1× 106 0.9× 67 1.3k
Emil Proynov Canada 18 794 1.0× 286 0.8× 238 1.1× 93 0.6× 202 1.6× 45 1.1k
Kenichiro Saita Japan 17 580 0.7× 347 1.0× 219 1.0× 103 0.6× 185 1.5× 35 1.2k
Gergely Gidofalvi United States 17 1.1k 1.3× 279 0.8× 198 0.9× 249 1.5× 188 1.5× 29 1.4k
Chad E. Hoyer United States 14 578 0.7× 235 0.7× 181 0.9× 121 0.7× 121 1.0× 22 838

Countries citing papers authored by Adam Wasserman

Since Specialization
Citations

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

Fields of papers citing papers by Adam Wasserman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Wasserman

This figure shows the co-authorship network connecting the top 25 collaborators of Adam Wasserman. A scholar is included among the top collaborators of Adam Wasserman 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 Adam Wasserman. Adam Wasserman 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.
Wasserman, Adam, et al.. (2025). Spin-Density Functional Regularization for Singlet Diradicals. Journal of Chemical Theory and Computation. 21(17). 8420–8433.
2.
Wasserman, Adam, et al.. (2022). pyCADMium: Chemical Atoms in Diatomic Molecules. Aprolate spheroidal Python module for embedding calculations. The Journal of Open Source Software. 7(77). 4459–4459. 1 indexed citations
3.
Wasserman, Adam & Michele Pavanello. (2020). Quantum embedding electronic structure methods. International Journal of Quantum Chemistry. 120(21). 19 indexed citations
4.
Wasserman, Adam, et al.. (2020). Towards a density functional theory of molecular fragments. What is the shape of atoms in molecules?. Revista de la Academia Colombiana de Ciencias Exactas Físicas y Naturales. 44(170). 269–279. 2 indexed citations
5.
Wasserman, Adam, et al.. (2017). Numerical methods for the inverse problem of density functional theory. International Journal of Quantum Chemistry. 118(1). 52 indexed citations
6.
Wasserman, Adam, et al.. (2017). The Importance of Being Inconsistent. Annual Review of Physical Chemistry. 68(1). 555–581. 86 indexed citations
7.
Borca, Carlos H., Lyudmila V. Slipchenko, & Adam Wasserman. (2016). Ground-State Charge Transfer: Lithium–Benzene and the Role of Hartree–Fock Exchange. The Journal of Physical Chemistry A. 120(41). 8190–8198. 10 indexed citations
8.
Wasserman, Adam, et al.. (2015). Fragment-based treatment of delocalization and static correlation errors in density-functional theory. The Journal of Chemical Physics. 143(23). 234105–234105. 25 indexed citations
9.
Mosquera, Martín A., et al.. (2013). Fragment-Based Time-Dependent Density Functional Theory. Physical Review Letters. 111(2). 23001–23001. 22 indexed citations
10.
Wasserman, Adam, et al.. (2012). Fragment occupations in partition density functional theory. Physical Chemistry Chemical Physics. 14(21). 7780–7780. 16 indexed citations
11.
Zhang, Yu, et al.. (2012). Density-functional derivative discontinuities at the maximum number of bound electrons. Physical Review A. 85(4). 2 indexed citations
12.
Wasserman, Adam, et al.. (2011). Density Functional Resonance Theory of Unbound Electronic Systems. Physical Review Letters. 107(16). 163002–163002. 23 indexed citations
13.
Elliott, Peter, Kieron Burke, Morrel H. Cohen, & Adam Wasserman. (2010). Partition density-functional theory. Physical Review A. 82(2). 125 indexed citations
14.
Landry, Brian R., Adam Wasserman, & Eric J. Heller. (2009). Semiclassical Ground-State Energies of Many-Electron Systems. Physical Review Letters. 103(6). 66401–66401. 2 indexed citations
15.
Faassen, Meta van, Adam Wasserman, E. Engel, Fan Zhang, & Kieron Burke. (2007). Time-Dependent Density Functional Calculation ofeHScattering. Physical Review Letters. 99(4). 43005–43005. 17 indexed citations
16.
Wasserman, Adam & Nimrod Moiseyev. (2007). Hohenberg-Kohn Theorem for the Lowest-Energy Resonance of Unbound Systems. Physical Review Letters. 98(9). 93003–93003. 11 indexed citations
17.
Wasserman, Adam & Kieron Burke. (2005). Rydberg Transition Frequencies from the Local Density Approximation. Physical Review Letters. 95(16). 163006–163006. 27 indexed citations
18.
Wasserman, Adam, Neepa T. Maitra, & Kieron Burke. (2003). Accurate Rydberg Excitations from the Local Density Approximation. Physical Review Letters. 91(26). 263001–263001. 34 indexed citations
19.
Wasserman, Adam & Kieron Burke. (2002). A Guided Tour of Mathematical Methods for the Physical Sciences. Materials Research Bulletin. 37(5). 1023–1023. 5 indexed citations
20.
Wasserman, Adam, et al.. (1963). ANALYSIS OF THE DYNAMICS OF A REFLECTOR-PERTURBED REACTOR. Transactions of the American Nuclear Society. 2 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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