Markus Neumann

1.8k citations
39 papers · 1.3k · h-index 17

Impact in

Papers in

Markus Neumann

38 papers receiving 1.2k citations

Peers

Markus Neumann
Comparison fields: 5 of 103
  • Cognitive Neuroscience 626
  • Nature and Landscape Conservation 317
  • Experimental and Cognitive Psychology 273
  • Insect Science 143
  • Global and Planetary Change 242
Replace Guang Zhao with:
Guang Zhao China
Peter Shaw United Kingdom
Ian C. Simpson Spain
Pietro Landi South Africa
Nadia Pieretti Italy
Jean Bégin Canada
Hassen Allegue Canada
Holly Hughes United States
Melissa Marselle United Kingdom
Stéphane Champely France
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Citations per field
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Citations per year

Countries citing papers authored by Markus Neumann

Since Specialization
Citations

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

Fields of papers citing papers by Markus Neumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Markus Neumann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Markus Neumann Line = papers co-authored together Markus Neumann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001239
2 2015153
3 2013139
4 201387
5 200868
6 201057
7 200855
8 201652
9 196649
10 200948
11 201642
12 201427
13 201725
14 201725
15 200922
16 201721
17 201218
18 201416
19 201116
20 201913

About Markus Neumann

Markus Neumann is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Nature and Landscape Conservation, Communication and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Face Recognition and Perception (17 papers), Evolutionary Psychology and Human Behavior (8 papers), Neural and Behavioral Psychology Studies (7 papers), Forest ecology and management (6 papers), Visual Attention and Saliency Detection (4 papers), Forest Management and Policy (4 papers), Social Media and Politics (3 papers) and Multisensory perception and integration (3 papers). The work is most often cited by research in Cognitive Neuroscience (626 citations), Nature and Landscape Conservation (317 citations), Experimental and Cognitive Psychology (273 citations), Insect Science (143 citations) and Global and Planetary Change (242 citations). Markus Neumann has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Stefan R. Schweinberger, Franz Starlinger, A. Mike Burton, Romina Palermo, Aldo A. Luisada, Holger Wiese, Gillian Rhodes, Robert Jandl, Louise Ewing and Roberto Canullo. Their work appears in journals such as Neuroreport, Brain Research, Forest Ecology and Management, Quarterly Journal of Experimental Psychology and Cortex.

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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