Stuart I. Campbell

3.3k total citations · 1 hit paper
39 papers, 1.1k citations indexed

About

Stuart I. Campbell is a scholar working on Information Systems and Management, Radiation and Materials Chemistry. According to data from OpenAlex, Stuart I. Campbell has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems and Management, 10 papers in Radiation and 10 papers in Materials Chemistry. Recurrent topics in Stuart I. Campbell's work include Scientific Computing and Data Management (11 papers), Nuclear Physics and Applications (8 papers) and Advanced Data Storage Technologies (6 papers). Stuart I. Campbell is often cited by papers focused on Scientific Computing and Data Management (11 papers), Nuclear Physics and Applications (8 papers) and Advanced Data Storage Technologies (6 papers). Stuart I. Campbell collaborates with scholars based in United States, United Kingdom and France. Stuart I. Campbell's co-authors include Anibal J. Ramirez‐Cuesta, Ruth Newby, Chiu C. Tang, Sihai Yang⧫, Martin Schröder, Victoria García Sakai, Samantha K. Callear, Pascal Manuel, Daniel Allan and Thomas A Caswell and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Chemistry and Journal of Applied Crystallography.

In The Last Decade

Stuart I. Campbell

34 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Supramolecular binding and separation of hydrocarbons within a functionalized porous metal–organic framework

2014 596 citations Sihai Yang⧫, Anibal J. Ramirez‐Cuesta et al. Nature Chemistry profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stuart I. Campbell United States	12	641	579	231	158	93	39	1.1k
Peter Luksch Germany	8	818 1.3×	177 0.3×	89 0.4×	66 0.4×	263 2.8×	36	1.3k
Peter F. Peterson United States	14	567 0.9×	98 0.2×	85 0.4×	236 1.5×	125 1.3×	26	938
Bharat Medasani United States	16	913 1.4×	173 0.3×	158 0.7×	12 0.1×	339 3.6×	28	1.4k
Simon Batzner United States	11	1.8k 2.9×	81 0.1×	137 0.6×	38 0.2×	411 4.4×	17	2.3k
George Opletal Australia	19	810 1.3×	112 0.2×	119 0.5×	16 0.1×	276 3.0×	53	1.2k
Lance J. Nelson United States	7	1.0k 1.6×	82 0.1×	187 0.8×	15 0.1×	254 2.7×	8	1.3k
Shuichi Iwata Japan	20	727 1.1×	54 0.1×	183 0.8×	59 0.4×	318 3.4×	163	1.5k
Takashi Kikuchi Japan	18	298 0.5×	79 0.1×	79 0.3×	59 0.4×	284 3.1×	233	1.2k
Nils Zimmermann United States	16	1.3k 2.0×	356 0.6×	176 0.8×	10 0.1×	333 3.6×	24	1.8k
Nongnuch Artrith United States	25	2.5k 3.9×	127 0.2×	252 1.1×	54 0.3×	1.0k 11.0×	39	3.4k

Countries citing papers authored by Stuart I. Campbell

Since Specialization

Citations

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

Fields of papers citing papers by Stuart I. Campbell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stuart I. Campbell. 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 Stuart I. Campbell. The network helps show where Stuart I. Campbell may publish in the future.

Co-authorship network of co-authors of Stuart I. Campbell

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

All Works

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20 of 20 papers shown

Olds, Daniel, et al.. (2024). Facile Integration of Robots into Experimental Orchestration at Scientific User Facilities. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 9578–9584. 1 indexed citations

Campbell, Stuart I., et al.. (2024). A Data-Driven Approach to Understanding Customer Satisfaction. Research Padua Archive (University of Padua). 5.

Moriarty, M., et al.. (2024). AI Assistance in Providing Tax Advice – A Practical Study. European Taxation. 64(4).

Maffettone, Phillip M., Daniel Allan, Stuart I. Campbell, et al.. (2023). Self-driving multimodal studies at user facilities. Acta Crystallographica Section A Foundations and Advances. 79(a1). a325–a325. 1 indexed citations

Maffettone, Phillip M., Pascal Friederich, Sterling G. Baird, et al.. (2023). What is missing in autonomous discovery: open challenges for the community. Digital Discovery. 2(6). 1644–1659. 24 indexed citations

Maffettone, Phillip M., et al.. (2022). Machine learning enabling high-throughput and remote operations at large-scale user facilities. Digital Discovery. 1(4). 413–426. 12 indexed citations

Maffettone, Phillip M., et al.. (2021). Gaming the beamlines—employing reinforcement learning to maximize scientific outcomes at large-scale user facilities. Machine Learning Science and Technology. 2(2). 25025–25025. 10 indexed citations

Olds, Daniel, Daniel Allan, Thomas A Caswell, et al.. (2021). Optimizing High- Throughput Capabilities by Leveraging Reinforcement Learning Methods with the Bluesky Suite. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 585. 36–42. 2 indexed citations

Campbell, Stuart I., Daniel Allan, Andi Barbour, et al.. (2020). Outlook for artificial intelligence and machine learning at the NSLS-II. Machine Learning Science and Technology. 2(1). 13001–13001. 15 indexed citations

10.

Kalinin, Sergei V., Ian Foster, Surya R. Kalidindi, et al.. (2020). Handbook on Big Data and Machine Learning in the Physical Sciences. WORLD SCIENTIFIC eBooks. 1 indexed citations

11.

Foster, Ian, Surya R. Kalidindi, Turab Lookman, et al.. (2020). Handbook on Big Data and Machine Learning in the Physical Sciences. WORLD SCIENTIFIC eBooks. 3 indexed citations

12.

Kalinin, Sergei V., Ian Foster, Surya R. Kalidindi, et al.. (2020). Handbook on Big Data and Machine Learning in the Physical Sciences. WORLD SCIENTIFIC eBooks. 7 indexed citations

13.

Campbell, Stuart I., G. Carini, Yu‐chen Karen Chen‐Wiegart, et al.. (2020). Future trends in synchrotron science at NSLS-II. Journal of Physics Condensed Matter. 32(37). 374008–374008. 10 indexed citations

14.

Koerner, Lucas J., Thomas A Caswell, Daniel Allan, & Stuart I. Campbell. (2019). A Python Instrument Control and Data Acquisition Suite for Reproducible Research. IEEE Transactions on Instrumentation and Measurement. 69(4). 1698–1707. 14 indexed citations

15.

Könnecke, Mark, H. J. Bernstein, Aaron S. Brewster, et al.. (2015). The NeXus data format. Journal of Applied Crystallography. 48(1). 301–305. 127 indexed citations

16.

Yang⧫, Sihai, Anibal J. Ramirez‐Cuesta, Ruth Newby, et al.. (2014). Supramolecular binding and separation of hydrocarbons within a functionalized porous metal–organic framework. Nature Chemistry. 7(2). 121–129. 596 indexed citations breakdown →

17.

Miller, Stephen D., Al Geist, K. W. Herwig, et al.. (2010). The SNS/HFIR Web Portal System – How Can it Help Me?. Journal of Physics Conference Series. 251. 12096–12096.

18.

Campbell, Stuart I., et al.. (2009). NEXOF RA: A Reference Architecture for the NESSI Open Service Framework.. Ibis. 8. 53–56. 1 indexed citations

19.

Campbell, Stuart I., et al.. (1999). Open Genie Reference Manual - Version 2.0. 1 indexed citations

20.

Ross, D.K., et al.. (1999). Muon diffusion in metallic hydride systems. Journal of Alloys and Compounds. 293-295. 292–295. 1 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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