Ian M. Pendleton

412 total citations
8 papers, 320 citations indexed

About

Ian M. Pendleton is a scholar working on Materials Chemistry, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Ian M. Pendleton has authored 8 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Materials Chemistry, 2 papers in Organic Chemistry and 2 papers in Molecular Biology. Recurrent topics in Ian M. Pendleton's work include Machine Learning in Materials Science (4 papers), Perovskite Materials and Applications (2 papers) and Asymmetric Hydrogenation and Catalysis (2 papers). Ian M. Pendleton is often cited by papers focused on Machine Learning in Materials Science (4 papers), Perovskite Materials and Applications (2 papers) and Asymmetric Hydrogenation and Catalysis (2 papers). Ian M. Pendleton collaborates with scholars based in United States. Ian M. Pendleton's co-authors include Paul M. Zimmerman, Joshua Schrier, Alexander J. Norquist, Melanie S. Sanford, Mónica H. Pérez‐Temprano, Emory M. Chan, Mansoor Ani Najeeb, Matthias Zeller, Zhi Li and Wesley Wang and has published in prestigious journals such as Journal of the American Chemical Society, Chemistry of Materials and The Journal of Physical Chemistry B.

In The Last Decade

Ian M. Pendleton

8 papers receiving 319 citations

Peers

Ian M. Pendleton

MC

EEE

OC

BE

IC

Andrés Aguilar‐Granda Mexico

Baicheng Zhang China

Gary Tom Canada

Casper Welzel Andersen Denmark

Jenya Vestfrid Israel

Daniel Salley United Kingdom

Itsuki Miyazato Japan

Jiechun Liang China

Thomas Fellowes Australia

Nicholas H. Angello United States

Andrés Aguilar‐Granda Mexico

Ian M. Pendleton

273 ×1.4

MC

100 ×1.0

EEE

96 ×1.4

OC

110 ×3.0

BE

75 ×2.0

IC

Citations per year, relative to Ian M. Pendleton Ian M. Pendleton (= 1×) peers Andrés Aguilar‐Granda

Countries citing papers authored by Ian M. Pendleton

Since Specialization

Citations

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

Fields of papers citing papers by Ian M. Pendleton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian M. Pendleton

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

All Works

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8 of 8 papers shown

1.

Haddox, Hugh K., et al.. (2021). The Role of Configurational Entropy in Miniprotein Stability. The Journal of Physical Chemistry B. 125(12). 3057–3065. 1 indexed citations

2.

Li, Zhi, Mansoor Ani Najeeb, Ian M. Pendleton, et al.. (2020). Robot-Accelerated Perovskite Investigation and Discovery. Chemistry of Materials. 32(13). 5650–5663. 135 indexed citations

3.

Nisbet, Matthew L., Ian M. Pendleton, Gene M. Nolis, et al.. (2020). Machine-Learning-Assisted Synthesis of Polar Racemates. Journal of the American Chemical Society. 142(16). 7555–7566. 26 indexed citations

4.

Pendleton, Ian M., et al.. (2020). Can Machines “Learn” Halide Perovskite Crystal Formation without Accurate Physicochemical Features?. The Journal of Physical Chemistry C. 124(25). 13982–13992. 11 indexed citations

5.

Pendleton, Ian M., Zhi Li, Mansoor Ani Najeeb, et al.. (2019). Experiment Specification, Capture and Laboratory Automation Technology (ESCALATE): a software pipeline for automated chemical experimentation and data management. MRS Communications. 9(3). 846–859. 56 indexed citations

6.

Pendleton, Ian M.. (2018). Computational Chemistry Studies of Organometallic Energy Landscapes. Deep Blue (University of Michigan). 1 indexed citations

7.

Pendleton, Ian M., et al.. (2016). Mechanism for Forming B,C,N,O Rings from NH₃BH₃ and CO₂ via Reaction Discovery Computations. The Journal of Physical Chemistry A. 120(8). 1135–1144. 15 indexed citations

8.

Pendleton, Ian M., Mónica H. Pérez‐Temprano, Melanie S. Sanford, & Paul M. Zimmerman. (2016). Experimental and Computational Assessment of Reactivity and Mechanism in C(sp³)–N Bond-Forming Reductive Elimination from Palladium(IV). Journal of the American Chemical Society. 138(18). 6049–6060. 75 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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