Mark D. Scherz

123 total papers · 2.1k total citations
77 papers, 925 citations indexed

About

Mark D. Scherz is a scholar working on Global and Planetary Change, Ecology, Evolution, Behavior and Systematics and Ecological Modeling. According to data from OpenAlex, Mark D. Scherz has authored 77 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Global and Planetary Change, 34 papers in Ecology, Evolution, Behavior and Systematics and 26 papers in Ecological Modeling. Recurrent topics in Mark D. Scherz's work include Amphibian and Reptile Biology (68 papers), Species Distribution and Climate Change (26 papers) and Bat Biology and Ecology Studies (18 papers). Mark D. Scherz is often cited by papers focused on Amphibian and Reptile Biology (68 papers), Species Distribution and Climate Change (26 papers) and Bat Biology and Ecology Studies (18 papers). Mark D. Scherz collaborates with scholars based in Germany, Madagascar and United States. Mark D. Scherz's co-authors include Frank Glaw, Miguel Vences, Andolalao Rakotoarison, Martin Heß, Martina Schwager, Anouk van ’t Padje, Jörn Köhler, Angelica Crottini, Oliver Hawlitschek and Alireza Zamani and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Mark D. Scherz

76 papers receiving 909 citations

Author Peers

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

Author Last Decade Papers Cites
Mark D. Scherz 461 296 259 257 200 77 925
Maciej Pabijan 519 1.1× 244 0.8× 191 0.7× 411 1.6× 240 1.2× 50 890
Oliver Hawlitschek 275 0.6× 377 1.3× 184 0.7× 324 1.3× 220 1.1× 62 801
Xianguang Guo 402 0.9× 198 0.7× 306 1.2× 430 1.7× 206 1.0× 76 1.0k
César L. Barrio‐Amorós 686 1.5× 295 1.0× 164 0.6× 260 1.0× 309 1.5× 65 927
Weiwei Zhou 462 1.0× 223 0.8× 243 0.9× 421 1.6× 280 1.4× 60 1.1k
Coleman J. Goin 549 1.2× 253 0.9× 175 0.7× 214 0.8× 186 0.9× 58 970
Néstor G. Basso 556 1.2× 236 0.8× 130 0.5× 207 0.8× 152 0.8× 70 933
Zhiyong Yuan 641 1.4× 187 0.6× 201 0.8× 325 1.3× 371 1.9× 50 833
Christian L. Cox 459 1.0× 513 1.7× 205 0.8× 257 1.0× 192 1.0× 70 1.2k
Arley Camargo 636 1.4× 349 1.2× 160 0.6× 363 1.4× 376 1.9× 34 1.0k

Countries citing papers authored by Mark D. Scherz

Since Specialization
Citations

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

Fields of papers citing papers by Mark D. Scherz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark D. Scherz. 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 Mark D. Scherz. The network helps show where Mark D. Scherz may publish in the future.

Co-authorship network of co-authors of Mark D. Scherz

This figure shows the co-authorship network connecting the top 25 collaborators of Mark D. Scherz. A scholar is included among the top collaborators of Mark D. Scherz 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 Mark D. Scherz. Mark D. Scherz 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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