Eric Jankowski

779 total citations
32 papers, 563 citations indexed

About

Eric Jankowski is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Eric Jankowski has authored 32 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Materials Chemistry, 10 papers in Electrical and Electronic Engineering and 6 papers in Biomedical Engineering. Recurrent topics in Eric Jankowski's work include Machine Learning in Materials Science (8 papers), Organic Electronics and Photovoltaics (8 papers) and Pickering emulsions and particle stabilization (6 papers). Eric Jankowski is often cited by papers focused on Machine Learning in Materials Science (8 papers), Organic Electronics and Photovoltaics (8 papers) and Pickering emulsions and particle stabilization (6 papers). Eric Jankowski collaborates with scholars based in United States, Australia and Germany. Eric Jankowski's co-authors include Sharon C. Glotzer, Arthi Jayaraman, Matthew L. Jones, Trung Dac Nguyen, Michael M. Henry, Joshua A. Anderson, Michael Engel, Carolyn L. Phillips, Bhaskar Jyoti Krishnatreya and Kazem V. Edmond and has published in prestigious journals such as The Journal of Chemical Physics, ACS Nano and The Journal of Physical Chemistry B.

In The Last Decade

Eric Jankowski

31 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Jankowski United States 14 327 171 124 95 86 32 563
Edward H. Feng United States 8 230 0.7× 191 1.1× 117 0.9× 27 0.3× 93 1.1× 10 552
Sivasurender Chandran India 17 424 1.3× 81 0.5× 287 2.3× 28 0.3× 95 1.1× 38 733
Jaroslav Ilnytskyi Ukraine 17 443 1.4× 55 0.3× 80 0.6× 82 0.9× 191 2.2× 69 860
Nattaporn Chattham Thailand 13 182 0.6× 127 0.7× 53 0.4× 27 0.3× 208 2.4× 51 755
Antonio Pizzirusso Italy 14 234 0.7× 87 0.5× 67 0.5× 22 0.2× 150 1.7× 18 577
J. Wayne Mullinax United States 10 279 0.9× 75 0.4× 40 0.3× 99 1.0× 33 0.4× 23 487
Άννα Παναγοπούλου Greece 13 329 1.0× 73 0.4× 184 1.5× 29 0.3× 49 0.6× 15 599
Ronald H. J. Otten Netherlands 9 229 0.7× 37 0.2× 71 0.6× 90 0.9× 57 0.7× 10 400
Andrew J. Peters United States 15 301 0.9× 62 0.4× 225 1.8× 25 0.3× 286 3.3× 51 807
Guolong Zhu China 16 294 0.9× 31 0.2× 53 0.4× 88 0.9× 114 1.3× 25 593

Countries citing papers authored by Eric Jankowski

Since Specialization
Citations

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

Fields of papers citing papers by Eric Jankowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Jankowski

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Jankowski. A scholar is included among the top collaborators of Eric Jankowski 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 Eric Jankowski. Eric Jankowski 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.
Wiggins, Jeffrey S., et al.. (2025). Representing Structural Isomer Effects in a Coarse-Grain Model of Poly(Ether Ketone Ketone). Polymers. 17(1). 117–117.
2.
Jankowski, Eric, et al.. (2025). Validating Structural Predictions of Conjugated Macromolecules in Espaloma-Enabled Reproducible Workflows. International Journal of Molecular Sciences. 26(2). 478–478. 1 indexed citations
3.
Jankowski, Eric, et al.. (2023). FlowerMD: Flexible Library of Organic Workflows andExtensible Recipes for Molecular Dynamics. The Journal of Open Source Software. 8(92). 5989–5989. 1 indexed citations
4.
Jankowski, Eric, Mandy Schlosser, Thorsten Wiech, Günter Wolf, & Martin Busch. (2023). SARS-CoV-2 infection: a possible trigger for the recurrence of IgA nephropathy after kidney transplantation?. Journal of Nephrology. 36(6). 1683–1687. 1 indexed citations
5.
Smith, Justin C., et al.. (2021). Self-Assembly of Ge and GaAs Quantum Dots under Tensile Strain on InAlAs(111)A. Crystal Growth & Design. 21(3). 1674–1682. 3 indexed citations
6.
Muhich, Christopher L., et al.. (2021). Molecular Simulations for Understanding the Stabilization of Fullerenes in Water. 12(1). 39–48. 3 indexed citations
7.
Cummings, Peter T., Christopher R. Iacovella, Ákos Lédeczi, et al.. (2021). Open‐source molecular modeling software in chemical engineering focusing on the Molecular Simulation Design Framework. AIChE Journal. 67(3). 28 indexed citations
8.
Henry, Michael M., et al.. (2020). General-Purpose Coarse-Grained Toughened Thermoset Model for 44DDS/DGEBA/PES. Polymers. 12(11). 2547–2547. 6 indexed citations
9.
Jones, Matthew L., et al.. (2020). Development of a Molecular Model for Understanding the Polymer-metal Interface in Solid State Pumps. 11(2). 12–22. 2 indexed citations
10.
Jones, Matthew L., et al.. (2019). Machine learning predictions of electronic couplings for charge transport calculations of P3HT. AIChE Journal. 65(12). 25 indexed citations
11.
Jankowski, Eric, et al.. (2019). Perspective on coarse-graining, cognitive load, and materials simulation. Computational Materials Science. 171. 109129–109129. 7 indexed citations
12.
Jones, Matthew L., et al.. (2018). Using graphs to quantify energetic and structural order in semicrystalline oligothiophene thin films. Molecular Systems Design & Engineering. 3(5). 853–867. 12 indexed citations
13.
Jankowski, Eric, et al.. (2014). Controlling the Morphology of Model Conjugated Thiophene Oligomers through Alkyl Side Chain Length, Placement, and Interactions. Macromolecules. 47(8). 2736–2747. 36 indexed citations
14.
Phillips, Carolyn L., Eric Jankowski, Bhaskar Jyoti Krishnatreya, et al.. (2014). Digital colloids: reconfigurable clusters as high information density elements. Soft Matter. 10(38). 7468–7479. 45 indexed citations
15.
Glotzer, Sharon C., et al.. (2013). Massively parallel Monte Carlo for many-particle simulations on GPUs. Bulletin of the American Physical Society. 2013. 1 indexed citations
16.
Anderson, Joshua A., et al.. (2013). Massively parallel Monte Carlo for many-particle simulations on GPUs. Journal of Computational Physics. 254. 27–38. 52 indexed citations
17.
Phillips, Carolyn L., et al.. (2012). Self-assembled clusters of spheres related to spherical codes. Physical Review E. 86(4). 41124–41124. 21 indexed citations
18.
Jankowski, Eric, et al.. (2012). Thermal and athermal three-dimensional swarms of self-propelled particles. Physical Review E. 86(1). 11136–11136. 27 indexed citations
19.
Jankowski, Eric & Sharon C. Glotzer. (2012). Screening and designing patchy particles for optimized self-assembly propensity through assembly pathway engineering. Soft Matter. 8(10). 2852–2852. 31 indexed citations
20.
Nguyen, Trung Dac, Eric Jankowski, & Sharon C. Glotzer. (2011). Self-Assembly and Reconfigurability of Shape-Shifting Particles. ACS Nano. 5(11). 8892–8903. 72 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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2026