Michael Hakl

23 total papers · 900 total citations
13 papers, 665 citations indexed

About

Michael Hakl is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Michael Hakl has authored 13 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Atomic and Molecular Physics, and Optics, 9 papers in Materials Chemistry and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Michael Hakl's work include Topological Materials and Phenomena (6 papers), Graphene research and applications (5 papers) and Semiconductor Quantum Structures and Devices (3 papers). Michael Hakl is often cited by papers focused on Topological Materials and Phenomena (6 papers), Graphene research and applications (5 papers) and Semiconductor Quantum Structures and Devices (3 papers). Michael Hakl collaborates with scholars based in France, Czechia and Switzerland. Michael Hakl's co-authors include M. Orlita, Joris van Slageren, Petr Neugebauer, Yvonne Rechkemmer, Mihail Atanasov, Frauke D. Breitgoff, Biprajit Sarkar, Margarethe Van Der Meer, Frank Neese and Liviu Ungur and has published in prestigious journals such as Nature Communications, Scientific Reports and Chemical Science.

In The Last Decade

Michael Hakl

13 papers receiving 658 citations

Hit Papers

A four-coordinate cobalt(... 2016 2026 2019 2022 2016 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Michael Hakl 554 498 145 131 107 13 665
Roland Bastardis 370 0.7× 522 1.0× 114 0.8× 152 1.2× 76 0.7× 18 619
Ana Repollés 382 0.7× 450 0.9× 101 0.7× 170 1.3× 105 1.0× 12 600
Simon G. McAdams 529 1.0× 484 1.0× 129 0.9× 51 0.4× 129 1.2× 10 664
Fadi El Hallak 475 0.9× 546 1.1× 121 0.8× 193 1.5× 78 0.7× 17 694
Ella Lachman 552 1.0× 425 0.9× 82 0.6× 258 2.0× 88 0.8× 14 740
Ch. Cartier dit Moulin 417 0.8× 404 0.8× 73 0.5× 121 0.9× 50 0.5× 18 648
Elena Garlatti 327 0.6× 507 1.0× 114 0.8× 186 1.4× 180 1.7× 33 691
Tilmann Bodenstein 343 0.6× 395 0.8× 105 0.7× 87 0.7× 57 0.5× 15 554
Marina Servol 431 0.8× 529 1.1× 254 1.8× 125 1.0× 29 0.3× 26 741
Eva Lucaccini 541 1.0× 608 1.2× 217 1.5× 48 0.4× 136 1.3× 8 672

Countries citing papers authored by Michael Hakl

Since Specialization
Citations

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

Fields of papers citing papers by Michael Hakl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Hakl

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