Martin Tschinkl

40 total papers · 539 total citations
23 papers, 464 citations indexed

About

Martin Tschinkl is a scholar working on Organic Chemistry, Inorganic Chemistry and Spectroscopy. According to data from OpenAlex, Martin Tschinkl has authored 23 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Organic Chemistry, 10 papers in Inorganic Chemistry and 7 papers in Spectroscopy. Recurrent topics in Martin Tschinkl's work include Molecular Sensors and Ion Detection (6 papers), Synthesis and characterization of novel inorganic/organometallic compounds (6 papers) and Advancements in Photolithography Techniques (6 papers). Martin Tschinkl is often cited by papers focused on Molecular Sensors and Ion Detection (6 papers), Synthesis and characterization of novel inorganic/organometallic compounds (6 papers) and Advancements in Photolithography Techniques (6 papers). Martin Tschinkl collaborates with scholars based in United States, Germany and Japan. Martin Tschinkl's co-authors include François P. Gabbaı̈, Jürgen Riede, Annette Schier, James D. Hoefelmeyer, Robert E. Bachman, Marcus Schulte, M. Tsunoda, Alexandre Picot, T.M. Cocker and E.S. Schmidt and has published in prestigious journals such as Angewandte Chemie International Edition, Chemical Communications and Coordination Chemistry Reviews.

In The Last Decade

Martin Tschinkl

21 papers receiving 438 citations

Author Peers

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

Author						Papers	Cites
Martin Tschinkl	332	236	126	103	84	23	464
Edvards Liepiņš	271 0.8×	193 0.8×	119 0.9×	114 1.1×	36 0.4×	43	501
Bruce R. Bender	229 0.7×	217 0.9×	81 0.6×	85 0.8×	56 0.7×	18	507
J. Kopf	377 1.1×	186 0.8×	103 0.8×	70 0.7×	59 0.7×	40	500
Marcus Schulte	331 1.0×	184 0.8×	127 1.0×	78 0.8×	52 0.6×	18	423
T.V. Timofeeva	342 1.0×	159 0.7×	66 0.5×	76 0.7×	69 0.8×	37	497
Jan‐Hendrik Lamm	352 1.1×	176 0.7×	90 0.7×	67 0.7×	64 0.8×	39	422
John R. DeMember	261 0.8×	125 0.5×	78 0.6×	168 1.6×	112 1.3×	25	551
Leo C. D. Groenweghe	306 0.9×	206 0.9×	76 0.6×	76 0.7×	41 0.5×	16	484
Jan Schwabedissen	280 0.8×	197 0.8×	79 0.6×	56 0.5×	115 1.4×	32	416
R. Ambrosetti	215 0.6×	121 0.5×	130 1.0×	141 1.4×	67 0.8×	39	447

Countries citing papers authored by Martin Tschinkl

Since Specialization

Citations

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

Fields of papers citing papers by Martin Tschinkl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Tschinkl

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