Paul Raccuglia

1.7k citations
2 papers · 1.3k indexed · 1 hit paper · h-index 2
Topics
X-ray Diffraction in Crystallography (1 paper)Recommender Systems and Techniques (1 paper)Speech and dialogue systems (1 paper)
Journals
Nature
Partner nations
United States

In The Last Decade

Paul Raccuglia

2 papers receiving 1.2k citations

Hit Papers

Machine-learning-assisted materials discovery using faile...201620262019202220164008001.2k

Peers

Paul Raccuglia
Comparison fields: 5 of 109
  • Materials Chemistry 872
  • Electrical and Electronic Engineering 245
  • Mechanical Engineering 217
  • Computational Theory and Mathematics 198
  • Biomedical Engineering 183
Replace Philip Adler with:
Philip Adler United Kingdom
Malia B. Wenny United States
Katherine C. Elbert United States
Steven K. Kauwe United States
A. Gilad Kusne United States
Weike Ye United States
Tianlu Zhao China
Amil Merchant United States
Tanjin He United States
Paul Raccuglia relative to Philip Adler United Kingdom Philip Adler's profile →
Citations per field
00.5×1.5×
Philip Adler · 1×
Citations per year

Countries citing papers authored by Paul Raccuglia

Since Specialization
Citations

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

Fields of papers citing papers by Paul Raccuglia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Raccuglia

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Raccuglia. A scholar is included among the top collaborators of Paul Raccuglia 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 Paul Raccuglia. Paul Raccuglia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

2 of 2 papers shown
#WorkIndexed citations
1
Machine-learning-assisted materials discovery using failed experimentsbreakdown →
1251
2 1

About Paul Raccuglia

Paul Raccuglia is a scholar working on Inorganic Chemistry, Information Systems and Artificial Intelligence, having authored 2 papers that have together received 1.3k indexed citations. Recurring topics across this work include X-ray Diffraction in Crystallography (1 paper), Recommender Systems and Techniques (1 paper) and Speech and dialogue systems (1 paper). The work is most often cited by research in Materials Chemistry (872 citations), Computational Theory and Mathematics (198 citations) and Metals and Alloys (28 citations). Paul Raccuglia has collaborated with scholars based in United States. Frequent co-authors include Philip Adler, Katherine C. Elbert, Aurelio Mollo, Malia B. Wenny, Mat­thias Zeller, Sorelle A. Friedler, Joshua Schrier, Alexander J. Norquist, François Mairesse and Shiv Vitaladevuni. Their work appears in journals such as Nature.

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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