Nicholas Blumm

4.2k total citations · 1 hit paper
10 papers, 3.0k citations indexed

About

Nicholas Blumm is a scholar working on Statistical and Nonlinear Physics, Transportation and Molecular Biology. According to data from OpenAlex, Nicholas Blumm has authored 10 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistical and Nonlinear Physics, 3 papers in Transportation and 2 papers in Molecular Biology. Recurrent topics in Nicholas Blumm's work include Complex Network Analysis Techniques (3 papers), Opinion Dynamics and Social Influence (3 papers) and Human Mobility and Location-Based Analysis (3 papers). Nicholas Blumm is often cited by papers focused on Complex Network Analysis Techniques (3 papers), Opinion Dynamics and Social Influence (3 papers) and Human Mobility and Location-Based Analysis (3 papers). Nicholas Blumm collaborates with scholars based in United States, Switzerland and France. Nicholas Blumm's co-authors include Albert-Ĺaszló Barabási, Chaoming Song, Nicholas A. Christakis, César A. Hidalgo, Nitesh V. Chawla, Thomas S. Deisboeck, Darcy Davis, Ginestra Bianconi, Gourab Ghoshal and Maximilian Schich and has published in prestigious journals such as Science, Physical Review Letters and British Journal of Cancer.

In The Last Decade

Nicholas Blumm

9 papers receiving 2.9k citations

Hit Papers

Limits of Predictability in Human Mobility 2010 2026 2015 2020 2010 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nicholas Blumm United States 8 1.8k 515 437 372 333 10 3.0k
Michael Szell United States 21 1.0k 0.6× 159 0.3× 75 0.2× 802 2.2× 117 0.4× 41 2.5k
Ronaldo Menezes United States 16 617 0.3× 332 0.6× 98 0.2× 188 0.5× 56 0.2× 121 1.5k
Liang Zhao United States 22 226 0.1× 243 0.5× 163 0.4× 334 0.9× 98 0.3× 192 2.0k
Daniel Kifer United States 35 412 0.2× 439 0.9× 178 0.4× 96 0.3× 51 0.2× 98 7.5k
Takeshi Sakaki Japan 11 622 0.4× 332 0.6× 369 0.8× 1.3k 3.6× 18 0.1× 30 3.1k
Jie Yin Australia 28 220 0.1× 788 1.5× 112 0.3× 639 1.7× 165 0.5× 98 3.6k
Enrique Frı́as-Martı́nez Spain 24 806 0.5× 109 0.2× 213 0.5× 116 0.3× 13 0.0× 53 1.6k
Heidrun Schumann Germany 30 211 0.1× 147 0.3× 65 0.1× 336 0.9× 114 0.3× 168 3.7k
Bruno Martins Portugal 23 366 0.2× 101 0.2× 85 0.2× 53 0.1× 77 0.2× 131 1.7k
Weiqing Wang China 24 440 0.2× 183 0.4× 33 0.1× 190 0.5× 137 0.4× 80 2.0k

Countries citing papers authored by Nicholas Blumm

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Blumm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Blumm

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Blumm. A scholar is included among the top collaborators of Nicholas Blumm 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 Nicholas Blumm. Nicholas Blumm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Lahoti, Preethi, Nicholas Blumm, Qijun Tan, et al.. (2023). Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting. 10383–10405. 7 indexed citations
2.
Ghoshal, Gourab, Nicholas Blumm, Maximilian Schich, et al.. (2012). Dynamics of Ranking Processes in Complex Systems. DSpace@MIT (Massachusetts Institute of Technology). 53 indexed citations
3.
Blumm, Nicholas, et al.. (2012). Dynamics of Ranking Processes in Complex Systems. Physical Review Letters. 109(12). 128701–128701. 9 indexed citations
4.
Song, Chaoming, et al.. (2010). Limits of predictability in human mobility. Bulletin of the American Physical Society. 2010. 12 indexed citations
5.
Song, Chaoming, et al.. (2010). Supporting Online Material for Limits of Predictability in Human Mobility. 2 indexed citations
6.
Song, Chaoming, et al.. (2010). Limits of Predictability in Human Mobility. Science. 327(5968). 1018–1021. 2267 indexed citations breakdown →
7.
Hidalgo, César A., Nicholas Blumm, Albert-Ĺaszló Barabási, & Nicholas A. Christakis. (2009). A Dynamic Network Approach for the Study of Human Phenotypes. PLoS Computational Biology. 5(4). e1000353–e1000353. 476 indexed citations
8.
Blumm, Nicholas, et al.. (2009). Cancer metastasis networks and the prediction of progression patterns. British Journal of Cancer. 101(5). 749–758. 77 indexed citations
9.
Hidalgo, César A., Nicholas Blumm, Albert-László Barabási, & Nicholas A. Christakis. (2008). The Human Phenotypic Disease Network. Bulletin of the American Physical Society.
10.
Davis, Darcy, Nitesh V. Chawla, Nicholas Blumm, Nicholas A. Christakis, & Albert-Ĺaszló Barabási. (2008). Predicting individual disease risk based on medical history. Figshare. 769–778. 73 indexed citations

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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