Isabel M. Kloumann

4.4k total citations · 2 hit papers
10 papers, 1.1k citations indexed

About

Isabel M. Kloumann is a scholar working on Statistical and Nonlinear Physics, Experimental and Cognitive Psychology and Computer Networks and Communications. According to data from OpenAlex, Isabel M. Kloumann has authored 10 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistical and Nonlinear Physics, 3 papers in Experimental and Cognitive Psychology and 2 papers in Computer Networks and Communications. Recurrent topics in Isabel M. Kloumann's work include Complex Network Analysis Techniques (4 papers), Opinion Dynamics and Social Influence (3 papers) and Language and cultural evolution (2 papers). Isabel M. Kloumann is often cited by papers focused on Complex Network Analysis Techniques (4 papers), Opinion Dynamics and Social Influence (3 papers) and Language and cultural evolution (2 papers). Isabel M. Kloumann collaborates with scholars based in United States, Australia and Israel. Isabel M. Kloumann's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Computational Science.

In The Last Decade

Isabel M. Kloumann

10 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Temporal Patterns of Happiness and Information in a Global Social Network: Hedonometrics and Twitter

2011 519 citations Peter Sheridan Dodds, Kameron Decker Harris et al. PLoS ONE profile →
Human language reveals a universal positivity bias

2015 252 citations Peter Sheridan Dodds, Eric M. Clark et al. Proceedings of the National Academy of Sciences profile →

Peers

Countries citing papers authored by Isabel M. Kloumann

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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10 of 10 papers shown

#	Work	Indexed citations
1	Bridging the gap from AI ethics research to practice 2020 ·Kathy Baxter, (unknown), (unknown), Lewis Baker, (unknown), Krishnaram Kenthapadi, Isabel M. Kloumann, Hanna Wallach	2
2	Block models and personalized PageRank 2016 ·Proceedings of the National Academy of Sciences ·Isabel M. Kloumann, Johan Ugander, Jon Kleinberg	36
3	Internet Collaboration on Extremely Difficult Problems 2016 ·Isabel M. Kloumann, Chenhao Tan, Jon Kleinberg, Lillian Lee	4
4	Human language reveals a universal positivity bias breakdown → 2015 ·Proceedings of the National Academy of Sciences ·Peter Sheridan Dodds, Eric M. Clark, Suma Desu, Morgan R. Frank, Andrew J. Reagan, Jake Ryland Williams, Lewis Mitchell, Kameron Decker Harris, Isabel M. Kloumann, James P. Bagrow, Karine Megerdoomian, Matthew T. McMahon, Brian F. Tivnan, Christopher M. Danforth	252
5	Phase diagram for the Kuramoto model with van Hemmen interactions 2014 ·Physical Review E ·Isabel M. Kloumann, (unknown), Steven H. Strogatz	20
6	Kuramoto-Like Synchronization in Parametric Frequency Combs 2014 ·Yanan Wen, Michael R. E. Lamont, Isabel M. Kloumann, Steven H. Strogatz, Alexander L. Gaeta	1
7	Community membership identification from small seed sets 2014 ·Isabel M. Kloumann, Jon Kleinberg	84
8	Positivity of the English Language 2012 ·PLoS ONE ·Isabel M. Kloumann, Christopher M. Danforth, Kameron Decker Harris, Catherine A. Bliss, Peter Sheridan Dodds	84
9	Twitter reciprocal reply networks exhibit assortativity with respect to happiness 2012 ·Journal of Computational Science ·Catherine A. Bliss, Isabel M. Kloumann, Kameron Decker Harris, Christopher M. Danforth, Peter Sheridan Dodds	91
10	Temporal Patterns of Happiness and Information in a Global Social Network: Hedonometrics and Twitter breakdown → 2011 ·PLoS ONE ·Peter Sheridan Dodds, Kameron Decker Harris, Isabel M. Kloumann, Catherine A. Bliss, Christopher M. Danforth	519

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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