Mary Willis

10 total papers · 607 total citations
7 papers, 542 citations indexed

About

Mary Willis is a scholar working on Materials Chemistry, Inorganic Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Mary Willis has authored 7 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Materials Chemistry, 3 papers in Inorganic Chemistry and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Mary Willis's work include Boron and Carbon Nanomaterials Research (4 papers), Inorganic Fluorides and Related Compounds (3 papers) and Boron Compounds in Chemistry (2 papers). Mary Willis is often cited by papers focused on Boron and Carbon Nanomaterials Research (4 papers), Inorganic Fluorides and Related Compounds (3 papers) and Boron Compounds in Chemistry (2 papers). Mary Willis collaborates with scholars based in United States and Germany. Mary Willis's co-authors include Puru Jena, Anil K. Kandalam, Gerd Ganteför, Pratik Koirala, Boggavarapu Kiran, C. Paduani, Miao Miao Wu, Kit H. Bowen, Kiran Bala and Ralf Burgert and has published in prestigious journals such as Science, Angewandte Chemie International Edition and The Journal of Physical Chemistry C.

In The Last Decade

Mary Willis

7 papers receiving 540 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mary Willis 293 282 236 94 76 7 542
J. Niu 388 1.3× 104 0.4× 138 0.6× 75 0.8× 93 1.2× 14 513
Mark Wójcik 314 1.1× 71 0.3× 213 0.9× 99 1.1× 30 0.4× 16 548
Miao Miao Wu 388 1.3× 202 0.7× 211 0.9× 52 0.6× 56 0.7× 15 556
G. Longoni 252 0.9× 239 0.8× 64 0.3× 71 0.8× 261 3.4× 7 526
Pekka Pyykkoe 195 0.7× 347 1.2× 253 1.1× 39 0.4× 81 1.1× 12 481
Zeng-Guang Zhang 361 1.2× 301 1.1× 335 1.4× 31 0.3× 57 0.8× 21 599
Michael L. Lesiecki 194 0.7× 122 0.4× 221 0.9× 40 0.4× 57 0.8× 20 536
Yuan Feng 196 0.7× 215 0.8× 260 1.1× 20 0.2× 39 0.5× 18 463
D. Brennan 262 0.9× 56 0.2× 161 0.7× 95 1.0× 68 0.9× 18 519
Mark H. McAdon 208 0.7× 161 0.6× 208 0.9× 29 0.3× 145 1.9× 16 542

Countries citing papers authored by Mary Willis

Since Specialization
Citations

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

Fields of papers citing papers by Mary Willis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary Willis

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

All Works

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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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