Martin Fitzner

22 total papers · 771 total citations
17 papers, 570 citations indexed

About

Martin Fitzner is a scholar working on Materials Chemistry, Atmospheric Science and Electrical and Electronic Engineering. According to data from OpenAlex, Martin Fitzner has authored 17 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Materials Chemistry, 7 papers in Atmospheric Science and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Martin Fitzner's work include nanoparticles nucleation surface interactions (7 papers), Machine Learning in Materials Science (4 papers) and Semiconductor materials and devices (4 papers). Martin Fitzner is often cited by papers focused on nanoparticles nucleation surface interactions (7 papers), Machine Learning in Materials Science (4 papers) and Semiconductor materials and devices (4 papers). Martin Fitzner collaborates with scholars based in United Kingdom, Germany and United States. Martin Fitzner's co-authors include Angelos Michaelides, Gabriele C. Sosso, Philipp Pedevilla, Stephen J. Cox, Michael B. Davies, F. Bechstedt, Jean‐Michel Adam, Georg Wuitschik, Torsten Schindler and Raffael Koller and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Physical Review B.

In The Last Decade

Martin Fitzner

16 papers receiving 559 citations

Author Peers

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

Author						Papers	Cites
Martin Fitzner	307	213	151	115	72	17	570
Ryan Gotchy Mullen	228 0.7×	161 0.8×	207 1.4×	116 1.0×	41 0.6×	15	676
Ryan S. DeFever	211 0.7×	80 0.4×	85 0.6×	79 0.7×	25 0.3×	19	504
Marek Litniewski	202 0.7×	142 0.7×	124 0.8×	141 1.2×	115 1.6×	33	605
Andrey V. Brukhno	255 0.8×	272 1.3×	104 0.7×	88 0.8×	17 0.2×	10	536
Zamaan Raza	309 1.0×	88 0.4×	157 1.0×	48 0.4×	55 0.8×	15	621
Robert E. Meredith	122 0.4×	82 0.4×	130 0.9×	122 1.1×	132 1.8×	13	644
Xiao Hu	240 0.8×	119 0.6×	119 0.8×	46 0.4×	97 1.3×	21	602
T. Zykova-Timan	261 0.9×	104 0.5×	122 0.8×	93 0.8×	33 0.5×	15	565
Daniela Polino	289 0.9×	117 0.5×	197 1.3×	80 0.7×	55 0.8×	21	661
V. V. Pisarev	357 1.2×	107 0.5×	52 0.3×	153 1.3×	25 0.3×	45	627

Countries citing papers authored by Martin Fitzner

Since Specialization

Citations

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

Fields of papers citing papers by Martin Fitzner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Fitzner

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Fitzner. A scholar is included among the top collaborators of Martin Fitzner 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 Martin Fitzner. Martin Fitzner 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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