M. J. Hearn

17 total papers · 905 total citations
17 papers, 776 citations indexed

About

M. J. Hearn is a scholar working on Computational Mechanics, Polymers and Plastics and Surfaces, Coatings and Films. According to data from OpenAlex, M. J. Hearn has authored 17 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Mechanics, 7 papers in Polymers and Plastics and 4 papers in Surfaces, Coatings and Films. Recurrent topics in M. J. Hearn's work include Ion-surface interactions and analysis (12 papers), Electron and X-Ray Spectroscopy Techniques (4 papers) and Polymer Nanocomposite Synthesis and Irradiation (4 papers). M. J. Hearn is often cited by papers focused on Ion-surface interactions and analysis (12 papers), Electron and X-Ray Spectroscopy Techniques (4 papers) and Polymer Nanocomposite Synthesis and Irradiation (4 papers). M. J. Hearn collaborates with scholars based in United Kingdom and United States. M. J. Hearn's co-authors include D. Briggs, Buddy D. Ratner, Sung Chul Yoon, Robert D. Short, Morgan R. Alexander, David C. Briggs, John Hammond, Graham J. Leggett, S. Reichlmaier and John C. Vickerman and has published in prestigious journals such as Macromolecules, Langmuir and Polymer.

In The Last Decade

M. J. Hearn

17 papers receiving 704 citations

Author Peers

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

Author						Papers	Cites
M. J. Hearn	441	217	198	195	180	17	776
Matt Wagner	547 1.2×	189 0.9×	218 1.1×	138 0.7×	177 1.0×	17	864
X. Vanden Eynde	314 0.7×	139 0.6×	271 1.4×	76 0.4×	148 0.8×	34	636
J. Brison	398 0.9×	102 0.5×	187 0.9×	51 0.3×	137 0.8×	29	694
Kai‐Mo Ng	156 0.4×	54 0.2×	270 1.4×	81 0.4×	72 0.4×	32	750
David S. Jensen	174 0.4×	57 0.3×	404 2.0×	93 0.5×	127 0.7×	30	735
Michael A. Vail	140 0.3×	83 0.4×	363 1.8×	75 0.4×	128 0.7×	22	649
Andrew E. Dadson	148 0.3×	85 0.4×	362 1.8×	76 0.4×	136 0.8×	23	645
F. E. Bartell	129 0.3×	35 0.2×	189 1.0×	331 1.7×	58 0.3×	21	802
H.‐U. Poll	78 0.2×	25 0.1×	130 0.7×	173 0.9×	178 1.0×	25	644
Reinhard Kersting	339 0.8×	103 0.5×	240 1.2×	11 0.1×	221 1.2×	24	747

Countries citing papers authored by M. J. Hearn

Since Specialization

Citations

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

Fields of papers citing papers by M. J. Hearn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. J. Hearn

This figure shows the co-authorship network connecting the top 25 collaborators of M. J. Hearn. A scholar is included among the top collaborators of M. J. Hearn 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 M. J. Hearn. M. J. Hearn 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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