Max Kleiman‐Weiner

2.0k citations
53 papers · 1.2k · h-index 21

Impact in

Papers in

Max Kleiman‐Weiner

50 papers receiving 1.2k citations

Peers

Max Kleiman‐Weiner
Comparison fields: 5 of 118
  • Safety Research 230
  • Cognitive Neuroscience 428
  • General Decision Sciences 33
  • Cellular and Molecular Neuroscience 255
  • Social Psychology 223
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Pim Haselager Netherlands
Veljko Dubljević United States
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Citations per field
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Citations per year

Countries citing papers authored by Max Kleiman‐Weiner

Since Specialization
Citations

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

Fields of papers citing papers by Max Kleiman‐Weiner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Max Kleiman‐Weiner. 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 Max Kleiman‐Weiner. The network helps show where Max Kleiman‐Weiner may publish in the future.

Co-authors

The 25 scholars most cited alongside Max Kleiman‐Weiner, 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 Max Kleiman‐Weiner Line = papers co-authored together Max Kleiman‐Weiner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008165
2 201996
3 202087
4 200962
5 202155
6 201751
7
Building an Entity-Centric Stream Filtering Test Collection for TREC 2012
201250
8 201345
9
Coordinate to cooperate or compete: Abstract goals and joint intentions in social interaction
201644
10 202040
11 201039
12 201038
13 201836
14 201832
15 201931
16
THE SOUND OF ONE ARM SWINGING: A MODEL FOR MULTIDIMENSIONAL AUDITORY DISPLAY OF PHYSICAL MOTION
200629
17 200928
18
Inference of Intention and Permissibility in Moral Decision Making.
201528
19 201226
20 201826

About Max Kleiman‐Weiner

Max Kleiman‐Weiner is a scholar working on Safety Research, Cognitive Neuroscience, General Decision Sciences, Management Science and Operations Research and Sociology and Political Science, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Psychology of Moral and Emotional Judgment (18 papers), Experimental Behavioral Economics Studies (14 papers), Evolutionary Game Theory and Cooperation (9 papers), Decision-Making and Behavioral Economics (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Free Will and Agency (4 papers), Social and Intergroup Psychology (3 papers) and Iron Metabolism and Disorders (3 papers). The work is most often cited by research in Safety Research (230 citations), Cognitive Neuroscience (428 citations), General Decision Sciences (33 citations), Cellular and Molecular Neuroscience (255 citations) and Social Psychology (223 citations). Max Kleiman‐Weiner has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Josh Tenenbaum, Carlos Cepeda, Michael S. Levine, Sydney Levine, Liane Young, Véronique M. André, Nanping Wu, John R. Huguenard, Rebecca R. Saxe and Michael L. Littman. Their work appears in journals such as Cognitive Science, Proceedings of the National Academy of Sciences, Cognition, Nature Human Behaviour and Psychological Science.

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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