Ian Bruno

24.3k citations
32 papers · 19.7k indexed · 4 hit papers · h-index 16

Ian Bruno

30 papers receiving 19.5k citations

Hit Papers

The Cambridge Structural Database7.5k20022026201020182.5k5.0k7.5k

Peers

Ian Bruno
Comparison fields: 5 of 153
  • Physical and Theoretical Chemistry 6.9k
  • Inorganic Chemistry 9.1k
  • Organic Chemistry 8.0k
  • Electronic, Optical and Magnetic Materials 3.3k
  • Materials Chemistry 6.7k
Replace Elna Pidcock with:
Elna Pidcock United Kingdom
Jacco van de Streek Germany
Patrick McCabe United Kingdom
Clare F. Macrae United Kingdom
P.A. Wood United Kingdom
Dylan Jayatilaka Australia
Lee Brammer United Kingdom
Joshua J. McKinnon Australia
Angela Altomare Italy
Célia Fonseca Guerra Netherlands
Ian Bruno relative to Elna Pidcock United Kingdom Elna Pidcock's profile →
Citations per field
00.5×1.5×
Elna Pidcock · 1×
Citations per year

Countries citing papers authored by Ian Bruno

Since Specialization
Citations

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

Fields of papers citing papers by Ian Bruno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ian Bruno, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ian Bruno Line = papers co-authored together Ian Bruno links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20247
2 20240
3 20231
4 20230
5 20234
6 20225
7 20221
8 202220
9 20218
10 20174
11 20161
12
The Cambridge Structural Databasebreakdown →
20167451
13 201425
14 2011113
15 201118
16 2010120
17
Mercury CSD 2.0– new features for the visualization and investigation of crystal structuresbreakdown →
20087600
18
Retrieval of Crystallographically-Derived Molecular Geometry Informationbreakdown →
2004725
19 1997246
20 199711

About Ian Bruno

Ian Bruno is a scholar working on Physical and Theoretical Chemistry, Information Systems and Management, Computational Theory and Mathematics, Information Systems and Pharmaceutical Science, having authored 32 papers that have together received 19.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Crystallography and molecular interactions (11 papers), Research Data Management Practices (10 papers), X-ray Diffraction in Crystallography (10 papers), Scientific Computing and Data Management (8 papers), Machine Learning in Materials Science (5 papers), Crystallization and Solubility Studies (4 papers) and Geochemistry and Geologic Mapping (4 papers). The work is most often cited by research in Physical and Theoretical Chemistry (6.9k citations), Inorganic Chemistry (9.1k citations), Organic Chemistry (8.0k citations), Electronic, Optical and Magnetic Materials (3.3k citations) and Materials Chemistry (6.7k citations). Ian Bruno has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Colin R. Groom, Matthew P. Lightfoot, Suzanna C. Ward, Robin Taylor, Clare F. Macrae, Patrick McCabe, P.A. Wood, Elna Pidcock, James A. Chisholm and Lucía Rodríguez-Monge. Their work appears in journals such as Journal of Applied Crystallography, CrystEngComm, Acta Crystallographica Section B Structural Science, Pure and Applied Chemistry and Journal of Computer-Aided Molecular Design.

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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