Logan Ward
- Materials Chemistry top 1%
- Machine Learning in Materials Science 36
- X-ray Diffraction in Crystallography 15
- Nuclear Materials and Properties 4
- Metals and Alloys top 5%
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 14
- Ceramics and Composites top 5%
- Catalysis top 5%
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- Scientific Computing and Data Management 9
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- Metallic Glasses and Amorphous Alloys 7
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- Cloud Computing and Resource Management 4
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- Biomedical Text Mining and Ontologies 4
- Co-authors
- Ankit AgrawalChristopher WolvertonAlok ChoudharyChris WolvertonIan FosterApurva MehtaKyle ChardJason Hattrick‐Simpers
- Journals
- The Journal of Physical Chemistry A (4 papers)Acta Materialia (4 papers)Physical Review Materials (3 papers)
- Partner nations
- United StatesUnited KingdomEgypt
In The Last Decade
Logan Ward
74 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Materials Chemistry 3.5k
- Metals and Alloys 138
- Computational Theory and Mathematics 792
- Ceramics and Composites 158
- Catalysis 187
Countries citing papers authored by Logan Ward
This map shows the geographic impact of Logan Ward'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 Logan Ward with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Logan Ward more than expected).
Fields of papers citing papers by Logan Ward
This network shows the impact of papers produced by Logan Ward. 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 Logan Ward. The network helps show where Logan Ward may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Logan Ward, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 11 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 25 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 11 | |
| 10 | 2022 | 21 | |
| 11 | 2021 | 37 | |
| 12 | 2021 | 48 | |
| 13 | 2020 | 0 | |
| 14 | 2019 | 9 | |
| 15 | 2019 | 26 | |
| 16 | 2019 | 34 | |
| 17 | Accelerated Discovery of Quaternary Heusler with High-Throughput Density Functional Theory and Machine Learning | 2018 | 1 |
| 18 | Accurate Models of Formation Enthalpy Created using Machine Learning and Voronoi Tessellations | 2016 | 1 |
| 19 | 2015 | 4 | |
| 20 | Predictive Modeling for Developing Novel Metallic Glass Alloys | 2012 | 2 |
About Logan Ward
Logan Ward is a scholar working on Information Systems and Management, Materials Chemistry and Computational Theory and Mathematics, having authored 77 papers that have together received 4.7k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (36 papers), X-ray Diffraction in Crystallography (15 papers), Computational Drug Discovery Methods (14 papers), Scientific Computing and Data Management (9 papers), Metallic Glasses and Amorphous Alloys (7 papers), Cloud Computing and Resource Management (4 papers), Nuclear Materials and Properties (4 papers) and Biomedical Text Mining and Ontologies (4 papers). The work is most often cited by research in Materials Chemistry (3.5k citations), Metals and Alloys (138 citations) and Computational Theory and Mathematics (792 citations). Logan Ward has collaborated with scholars based in United States, United Kingdom and Egypt. Frequent co-authors include Ankit Agrawal, Christopher Wolverton, Alok Choudhary, Chris Wolverton, Ian Foster, Apurva Mehta, Kyle Chard, Jason Hattrick‐Simpers, Fang Ren and Travis Williams. Their work appears in journals such as The Journal of Physical Chemistry A, Acta Materialia, Physical Review Materials, npj Computational Materials and Scientific Reports.
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.