Robert MacKnight

820 citations
4 papers · 419 indexed · 1 hit paper · h-index 4

Robert MacKnight

4 papers receiving 396 citations

Hit Papers

Autonomous chemical research with large language models4062023202620242025100200300400

Peers

Robert MacKnight
Comparison fields: 5 of 105
  • Health Informatics 30
  • Information Systems and Management 45
  • Computational Theory and Mathematics 68
  • Materials Chemistry 179
  • Artificial Intelligence 82
Replace Ben Kline with:
Ben Kline United States
Sam Cox United States
Daniil A. Boiko Russia
Oliver Schilter Switzerland
Carlo Baldassari Switzerland
David Milsted United States
Amalie Trewartha United States
Michael Krein United States
Kevin Cruse United States
Luca Torresi Germany
Robert MacKnight relative to Ben Kline United States Ben Kline's profile →
Citations per field
00.5×1.5×
Ben Kline · 1×
Citations per year

Countries citing papers authored by Robert MacKnight

Since Specialization
Citations

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

Fields of papers citing papers by Robert MacKnight

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 9 scholars most cited alongside Robert MacKnight, 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 Robert MacKnight Line = papers co-authored together Robert MacKnight links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown

About Robert MacKnight

Robert MacKnight is a scholar working on Biophysics, Geophysics, Computational Theory and Mathematics, Artificial Intelligence and Materials Chemistry, having authored 4 papers that have together received 419 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (2 papers), Law, AI, and Intellectual Property (1 paper), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper), Bacillus and Francisella bacterial research (1 paper), Geochemistry and Geologic Mapping (1 paper), Geological and Geochemical Analysis (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Health Informatics (30 citations), Information Systems and Management (45 citations), Computational Theory and Mathematics (68 citations), Materials Chemistry (179 citations) and Artificial Intelligence (82 citations). Robert MacKnight has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Gabriel dos Passos Gomes, Ben Kline, Daniil A. Boiko, Eli A. Silver, Jaspreet Pannu, W. L. Pickles, Magda‐Viola Hanke, Thomas V. Inglesby and Anita Cicero. Their work appears in journals such as Nature Computational Science, Nature, Geosphere and PLoS Computational Biology.

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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