Isabel M. Kloumann
- Artificial Intelligence top 5%
- Sociology and Political Science top 5%
- Statistical and Nonlinear Physics top 2%
- Social Psychology top 5%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Christopher M. DanforthPeter Sheridan DoddsKameron Decker HarrisCatherine A. BlissJon KleinbergBrian F. TivnanAndrew J. ReaganJames P. Bagrow
- Topics
- Complex Network Analysis Techniques (4 papers)Opinion Dynamics and Social Influence (3 papers)Language and cultural evolution (2 papers)
- Partner nations
- United StatesAustraliaIsrael
In The Last Decade
Isabel M. Kloumann
10 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Artificial Intelligence 363
- Sociology and Political Science 313
- Statistical and Nonlinear Physics 313
- Social Psychology 207
- Experimental and Cognitive Psychology 148
Countries citing papers authored by Isabel M. Kloumann
This map shows the geographic impact of Isabel M. Kloumann'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 Isabel M. Kloumann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabel M. Kloumann more than expected).
Fields of papers citing papers by Isabel M. Kloumann
This network shows the impact of papers produced by Isabel M. Kloumann. 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 Isabel M. Kloumann. The network helps show where Isabel M. Kloumann may publish in the future.
Co-authorship network of co-authors of Isabel M. Kloumann
This figure shows the co-authorship network connecting the top 25 collaborators of Isabel M. Kloumann. A scholar is included among the top collaborators of Isabel M. Kloumann 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 Isabel M. Kloumann. Isabel M. Kloumann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 36 | |
| 3 | 4 | |
| 4 | Human language reveals a universal positivity biasbreakdown → | 252 |
| 5 | 20 | |
| 6 | 1 | |
| 7 | 84 | |
| 8 | 84 | |
| 9 | 91 | |
| 10 | Temporal Patterns of Happiness and Information in a Global Social Network: Hedonometrics and Twitterbreakdown → | 519 |
About Isabel M. Kloumann
Isabel M. Kloumann is a scholar working on Statistical and Nonlinear Physics, Cultural Studies and Experimental and Cognitive Psychology, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (4 papers), Opinion Dynamics and Social Influence (3 papers) and Language and cultural evolution (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (313 citations), Communication (104 citations) and Artificial Intelligence (363 citations). Isabel M. Kloumann has collaborated with scholars based in United States, Australia and Israel. Frequent co-authors include Christopher M. Danforth, Peter Sheridan Dodds, Kameron Decker Harris, Catherine A. Bliss, Jon Kleinberg, Brian F. Tivnan, Andrew J. Reagan, James P. Bagrow, Suma Desu and Eric M. Clark. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Computational 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.