Travis G. Maak

184 total papers · 3.6k total citations
121 papers, 2.5k citations indexed

About

Travis G. Maak is a scholar working on Surgery, Orthopedics and Sports Medicine and Biomedical Engineering. According to data from OpenAlex, Travis G. Maak has authored 121 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Surgery, 31 papers in Orthopedics and Sports Medicine and 18 papers in Biomedical Engineering. Recurrent topics in Travis G. Maak's work include Hip disorders and treatments (53 papers), Orthopaedic implants and arthroplasty (41 papers) and Knee injuries and reconstruction techniques (35 papers). Travis G. Maak is often cited by papers focused on Hip disorders and treatments (53 papers), Orthopaedic implants and arthroplasty (41 papers) and Knee injuries and reconstruction techniques (35 papers). Travis G. Maak collaborates with scholars based in United States, Japan and Austria. Travis G. Maak's co-authors include Stephen K. Aoki, James D. Wylie, Ashley L. Kapron, James T. Beckmann, Jonathan N. Grauer, Russell F. Warren, Asheesh Bedi, Andrew D. Pearle, Volker Musahl and Aaron J. Krych and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Bone and Joint Surgery and Spine.

In The Last Decade

Travis G. Maak

107 papers receiving 2.5k citations

Author Peers

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

Author						Papers	Cites
Travis G. Maak	2.1k	617	430	280	227	121	2.5k
Eoin C. Kavanagh	1.4k 0.7×	839 1.4×	279 0.6×	275 1.0×	307 1.4×	153	2.6k
Kevin Mulhall	2.1k 1.0×	301 0.5×	414 1.0×	364 1.3×	189 0.8×	111	2.8k
Carlos J. Lavernia	3.3k 1.6×	574 0.9×	240 0.6×	211 0.8×	265 1.2×	112	3.9k
Kristofer J. Jones	2.7k 1.3×	684 1.1×	472 1.1×	301 1.1×	641 2.8×	106	3.1k
Vito Pavone	1.3k 0.6×	518 0.8×	312 0.7×	285 1.0×	278 1.2×	174	2.5k
Klaus‐Peter Günther	1.5k 0.7×	449 0.7×	574 1.3×	389 1.4×	129 0.6×	109	2.7k
Aman Dhawan	2.4k 1.2×	901 1.5×	379 0.9×	537 1.9×	580 2.6×	70	3.1k
Ugo Albisinni	792 0.4×	375 0.6×	707 1.6×	281 1.0×	155 0.7×	78	2.2k
David A. Connell	1.9k 0.9×	1.6k 2.6×	350 0.8×	275 1.0×	296 1.3×	49	2.7k
Marios G. Lykissas	2.1k 1.0×	558 0.9×	267 0.6×	365 1.3×	535 2.4×	106	2.9k

Countries citing papers authored by Travis G. Maak

Since Specialization

Citations

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

Fields of papers citing papers by Travis G. Maak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Travis G. Maak. 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 Travis G. Maak. The network helps show where Travis G. Maak may publish in the future.

Co-authorship network of co-authors of Travis G. Maak

This figure shows the co-authorship network connecting the top 25 collaborators of Travis G. Maak. A scholar is included among the top collaborators of Travis G. Maak 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 Travis G. Maak. Travis G. Maak 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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