Mikhail S. Spektor
- General Decision Sciences top 2%
- Cognitive Neuroscience top 10%
- Economics and Econometrics top 10%
- Experimental and Cognitive Psychology
- Applied Psychology top 10%
- Co-authors
- Sebastian GluthJörg RieskampLaura FontanesiDavid KellenJared M. HotalingSudeep BhatiaKarl Christoph KlauerDirk U. Wulff
- Topics
- Decision-Making and Behavioral Economics (14 papers)Economic and Environmental Valuation (7 papers)Neural and Behavioral Psychology Studies (7 papers)
- Journals
- Proceedings of the National Academy of SciencesPsychological ReviewTrends in Cognitive Sciences
- Partner nations
- SwitzerlandGermanySpain
In The Last Decade
Mikhail S. Spektor
15 papers receiving 320 citations
Peers
Comparison fields: 5 of 61
- General Decision Sciences 183
- Cognitive Neuroscience 174
- Economics and Econometrics 99
- Experimental and Cognitive Psychology 44
- Applied Psychology 44
Countries citing papers authored by Mikhail S. Spektor
This map shows the geographic impact of Mikhail S. Spektor'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 Mikhail S. Spektor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail S. Spektor more than expected).
Fields of papers citing papers by Mikhail S. Spektor
This network shows the impact of papers produced by Mikhail S. Spektor. 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 Mikhail S. Spektor. The network helps show where Mikhail S. Spektor may publish in the future.
Co-authorship network of co-authors of Mikhail S. Spektor
This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail S. Spektor. A scholar is included among the top collaborators of Mikhail S. Spektor 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 Mikhail S. Spektor. Mikhail S. Spektor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 8 | |
| 8 | 7 | |
| 9 | 27 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 111 | |
| 13 | 34 | |
| 14 | 28 | |
| 15 | 37 | |
| 16 | 55 |
About Mikhail S. Spektor
Mikhail S. Spektor is a scholar working on General Decision Sciences, Applied Psychology and Cognitive Neuroscience, having authored 16 papers that have together received 323 indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (14 papers), Economic and Environmental Valuation (7 papers) and Neural and Behavioral Psychology Studies (7 papers). The work is most often cited by research in General Decision Sciences (183 citations), Cognitive Neuroscience (174 citations) and Applied Psychology (44 citations). Mikhail S. Spektor has collaborated with scholars based in Switzerland, Germany and Spain. Frequent co-authors include Sebastian Gluth, Jörg Rieskamp, Laura Fontanesi, David Kellen, Jared M. Hotaling, Sudeep Bhatia, Karl Christoph Klauer, Dirk U. Wulff, Gaël Le Mens and Lukasz Walasek. Their work appears in journals such as Proceedings of the National Academy of Sciences, Psychological Review and Trends in Cognitive Sciences.
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.