Robert Pollice

3.2k total citations · 4 hit papers
39 papers, 1.7k citations indexed

About

Robert Pollice is a scholar working on Materials Chemistry, Organic Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Robert Pollice has authored 39 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 11 papers in Organic Chemistry and 10 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Robert Pollice's work include Machine Learning in Materials Science (12 papers), Advanced Chemical Physics Studies (9 papers) and Computational Drug Discovery Methods (7 papers). Robert Pollice is often cited by papers focused on Machine Learning in Materials Science (12 papers), Advanced Chemical Physics Studies (9 papers) and Computational Drug Discovery Methods (7 papers). Robert Pollice collaborates with scholars based in Canada, Netherlands and Switzerland. Robert Pollice's co-authors include Alán Aspuru‐Guzik, Gabriel dos Passos Gomes, AkshatKumar Nigam, Peter Chen, Mario Krenn, Cyrille Lavigne, Pascal Friederich, Cher Tian Ser, Matteo Aldeghi and Zhenpeng Yao and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Robert Pollice

38 papers receiving 1.7k citations

Hit Papers

Data-Driven Strategies for Accelerated Materials Design 2021 2026 2022 2024 2021 2022 2022 2022 50 100 150 200 250

Peers

Robert Pollice
Comparison fields: 5 of 122
  • Materials Chemistry 791
  • Electrical and Electronic Engineering 368
  • Computational Theory and Mathematics 335
  • Organic Chemistry 332
  • Molecular Biology 218
Replace Edward O. Pyzer‐Knapp with:
Edward O. Pyzer‐Knapp United Kingdom
Loı̈c M. Roch Switzerland
Álvaro Vázquez‐Mayagoitia United States
Kjell Jorner Sweden
Chenru Duan United States
Carlos Amador‐Bedolla Mexico
Thijs Stuyver Belgium
Johannes Hachmann United States
Gabriel dos Passos Gomes United States
Yi‐Pei Li Taiwan
Edward O. Pyzer‐Knapp United Kingdom View profile →
Citations per field, relative to Robert Pollice
Robert Pollice · 1×
Citations per year, relative to Robert Pollice
Robert Pollice · 1×

Countries citing papers authored by Robert Pollice

Since Specialization
Citations

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

Fields of papers citing papers by Robert Pollice

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Pollice

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Pollice. A scholar is included among the top collaborators of Robert Pollice 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 Robert Pollice. Robert Pollice 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
# Work Indexed citations
1 4
2 1
3 2
4 0
5 2
6 1
7 1
8 21
9 31
10 14
11 12
12 1
13 8
14 52
15
On scientific understanding with artificial intelligence breakdown →
186
16 35
17 126
18 100
19 6
20 2

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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