Mary C. Maas

36 total papers · 1.3k total citations
28 papers, 841 citations indexed

About

Mary C. Maas is a scholar working on Paleontology, Social Psychology and Anthropology. According to data from OpenAlex, Mary C. Maas has authored 28 papers receiving a total of 841 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Paleontology, 14 papers in Social Psychology and 12 papers in Anthropology. Recurrent topics in Mary C. Maas's work include Evolution and Paleontology Studies (18 papers), Primate Behavior and Ecology (14 papers) and Pleistocene-Era Hominins and Archaeology (12 papers). Mary C. Maas is often cited by papers focused on Evolution and Paleontology Studies (18 papers), Primate Behavior and Ecology (14 papers) and Pleistocene-Era Hominins and Archaeology (12 papers). Mary C. Maas collaborates with scholars based in United States, Netherlands and Türkiye. Mary C. Maas's co-authors include Elizabeth R. Dumont, David W. Krause, Philip D. Gingerich, Gregg F. Gunnell, Elwyn L. Simons, Mark F. Teaford, J. G. M. Thewissen, Suzanne G. Strait, John Kappelman and Michèle E. Morgan and has published in prestigious journals such as Palaeogeography Palaeoclimatology Palaeoecology, American Journal of Physical Anthropology and Journal of Human Evolution.

In The Last Decade

Mary C. Maas

26 papers receiving 781 citations

Author Peers

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

Author						Papers	Cites
Mary C. Maas	479	298	248	228	136	28	841
Jeffrey K. McKee	327 0.7×	253 0.8×	177 0.7×	351 1.5×	64 0.5×	49	949
Kieran P. McNulty	650 1.4×	200 0.7×	276 1.1×	542 2.4×	93 0.7×	63	1.0k
Todd C. Rae	364 0.8×	226 0.8×	277 1.1×	234 1.0×	134 1.0×	38	908
Justin A. Ledogar	317 0.7×	178 0.6×	239 1.0×	172 0.8×	95 0.7×	28	702
Jessica R. Scott	425 0.9×	303 1.0×	217 0.9×	339 1.5×	62 0.5×	20	733
Blaine W. Schubert	732 1.5×	504 1.7×	166 0.7×	449 2.0×	164 1.2×	45	990
Thomas Koppe	205 0.4×	172 0.6×	253 1.0×	128 0.6×	62 0.5×	46	806
Matthew C. Mihlbachler	741 1.5×	517 1.7×	110 0.4×	501 2.2×	119 0.9×	30	931
Siobhán B. Cooke	448 0.9×	238 0.8×	290 1.2×	159 0.7×	168 1.2×	47	757
Wendy Dirks	287 0.6×	277 0.9×	197 0.8×	266 1.2×	58 0.4×	33	813

Countries citing papers authored by Mary C. Maas

Since Specialization

Citations

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

Fields of papers citing papers by Mary C. Maas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary C. Maas. 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 Mary C. Maas. The network helps show where Mary C. Maas may publish in the future.

Co-authorship network of co-authors of Mary C. Maas

This figure shows the co-authorship network connecting the top 25 collaborators of Mary C. Maas. A scholar is included among the top collaborators of Mary C. Maas 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 Mary C. Maas. Mary C. Maas 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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