Martin Baiker

32 total papers · 794 total citations
27 papers, 600 citations indexed

About

Martin Baiker is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Martin Baiker has authored 27 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 11 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Genetics. Recurrent topics in Martin Baiker's work include Medical Imaging Techniques and Applications (9 papers), Forensic and Genetic Research (8 papers) and Image Processing and 3D Reconstruction (6 papers). Martin Baiker is often cited by papers focused on Medical Imaging Techniques and Applications (9 papers), Forensic and Genetic Research (8 papers) and Image Processing and 3D Reconstruction (6 papers). Martin Baiker collaborates with scholars based in Netherlands, United States and New Zealand. Martin Baiker's co-authors include Robert E. Poelmann, M.J.B.M. Pourquié, Beerend P. Hierck, Adriana C. Gittenberger–de Groot, Boudewijn P. F. Lelieveldt, Johan H. C. Reiber, Clemens W.G.M. Löwik, J. Vrolijk, Bianca C.W. Groenendijk and Jouke Dijkstra and has published in prestigious journals such as PLoS ONE, Circulation Research and Atherosclerosis.

In The Last Decade

Martin Baiker

27 papers receiving 585 citations

Author Peers

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

Author						Papers	Cites
Martin Baiker	194	151	150	146	101	27	600
Anita Sengupta	162 0.8×	80 0.5×	140 0.9×	77 0.5×	30 0.3×	24	582
Petter Ranefall	274 1.4×	82 0.5×	74 0.5×	51 0.3×	45 0.4×	32	658
Evan McCreedy	102 0.5×	97 0.6×	126 0.8×	24 0.2×	193 1.9×	25	586
Yifu Ding	116 0.6×	143 0.9×	203 1.4×	43 0.3×	220 2.2×	31	658
Daniel Jiménez‐Carretero	105 0.5×	94 0.6×	155 1.0×	11 0.1×	69 0.7×	36	569
Mika Kaakinen	225 1.2×	33 0.2×	30 0.2×	27 0.2×	57 0.6×	40	530
Lina Basel‐Salmon	209 1.1×	52 0.3×	52 0.3×	283 1.9×	27 0.3×	33	679
Hidenori Machino	169 0.9×	43 0.3×	257 1.7×	16 0.1×	58 0.6×	25	695
S. S. Choi	220 1.1×	19 0.1×	169 1.1×	43 0.3×	88 0.9×	19	510
Kimmo Kartasalo	181 0.9×	92 0.6×	143 1.0×	10 0.1×	98 1.0×	31	619

Countries citing papers authored by Martin Baiker

Since Specialization

Citations

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

Fields of papers citing papers by Martin Baiker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Baiker

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