Lars Seemann

408 total citations
10 papers, 281 citations indexed

About

Lars Seemann is a scholar working on Molecular Biology, Economics and Econometrics and Finance. According to data from OpenAlex, Lars Seemann has authored 10 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Economics and Econometrics and 2 papers in Finance. Recurrent topics in Lars Seemann's work include Gene Regulatory Network Analysis (3 papers), Bioinformatics and Genomic Networks (3 papers) and Complex Systems and Time Series Analysis (3 papers). Lars Seemann is often cited by papers focused on Gene Regulatory Network Analysis (3 papers), Bioinformatics and Genomic Networks (3 papers) and Complex Systems and Time Series Analysis (3 papers). Lars Seemann collaborates with scholars based in United States, United Kingdom and Romania. Lars Seemann's co-authors include Sandro Galea, Peter Scarborough, Abdulrahman M. El‐Sayed, Gemunu H. Gunaratne, Joseph L. McCauley, Brandon D. L. Marshall, Enrique R. Pouget, Samuel R. Friedman, Barbara Tempalski and Magdalena M. Paczkowski and has published in prestigious journals such as PLoS ONE, American Journal of Epidemiology and Biophysical Journal.

In The Last Decade

Lars Seemann

10 papers receiving 272 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lars Seemann United States 7 65 54 45 45 40 10 281
Elena Petelos Greece 9 112 1.7× 44 0.8× 40 0.9× 62 1.4× 34 0.8× 30 409
Matthew Shearer United States 8 34 0.5× 37 0.7× 31 0.7× 22 0.5× 42 1.1× 31 231
Gaurav Tuli United States 11 103 1.6× 77 1.4× 84 1.9× 67 1.5× 97 2.4× 24 483
Mengcen Qian China 14 102 1.6× 47 0.9× 37 0.8× 36 0.8× 40 1.0× 23 505
Flavio Toxvaerd United Kingdom 9 18 0.3× 22 0.4× 46 1.0× 136 3.0× 48 1.2× 30 265
Troy Tassier United States 9 31 0.5× 20 0.4× 11 0.2× 30 0.7× 95 2.4× 29 272
Eunyoung Shim South Korea 13 51 0.8× 144 2.7× 34 0.8× 45 1.0× 88 2.2× 16 453
Francisco José Santonja Gómez Spain 12 26 0.4× 78 1.4× 12 0.3× 125 2.8× 22 0.6× 47 466
Alex Moehring United States 8 19 0.3× 34 0.6× 104 2.3× 114 2.5× 114 2.9× 11 342
Hyekyung Woo South Korea 10 68 1.0× 137 2.5× 26 0.6× 43 1.0× 95 2.4× 39 389

Countries citing papers authored by Lars Seemann

Since Specialization
Citations

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

Fields of papers citing papers by Lars Seemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lars Seemann

This figure shows the co-authorship network connecting the top 25 collaborators of Lars Seemann. A scholar is included among the top collaborators of Lars Seemann 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 Lars Seemann. Lars Seemann 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.
El‐Sayed, Abdulrahman M., Lars Seemann, Peter Scarborough, & Sandro Galea. (2013). Are Network-Based Interventions a Useful Antiobesity Strategy? An Application of Simulation Models for Causal Inference in Epidemiology. American Journal of Epidemiology. 178(2). 287–295. 41 indexed citations
2.
Marshall, Brandon D. L., Magdalena M. Paczkowski, Lars Seemann, et al.. (2012). A Complex Systems Approach to Evaluate HIV Prevention in Metropolitan Areas: Preliminary Implications for Combination Intervention Strategies. PLoS ONE. 7(9). e44833–e44833. 43 indexed citations
3.
El‐Sayed, Abdulrahman M., Peter Scarborough, Lars Seemann, & Sandro Galea. (2012). Social network analysis and agent-based modeling in social epidemiology. PubMed. 9(1). 1–1. 144 indexed citations
4.
Seemann, Lars, Jason Shulman, & Gemunu H. Gunaratne. (2012). A Robust Topology-Based Algorithm for Gene Expression Profiling. PubMed. 2012. 1–11. 10 indexed citations
5.
Shulman, Jason, Lars Seemann, Gregg Roman, & Gemunu H. Gunaratne. (2012). EFFECTIVE MODELS FOR GENE NETWORKS AND THEIR APPLICATIONS. Biophysical Reviews and Letters. 7(01n02). 41–70. 3 indexed citations
6.
Seemann, Lars, et al.. (2012). Ensemble vs. time averages in financial time series analysis. Physica A Statistical Mechanics and its Applications. 391(23). 6024–6032. 9 indexed citations
7.
Seemann, Lars, Joseph L. McCauley, & Gemunu H. Gunaratne. (2011). Intraday volatility and scaling in high frequency foreign exchange markets. International Review of Financial Analysis. 20(3). 121–126. 16 indexed citations
8.
Shulman, Jason, Lars Seemann, & Gemunu H. Gunaratne. (2011). Effective Models of Periodically Driven Networks. Biophysical Journal. 101(11). 2563–2571. 3 indexed citations
9.
Gunaratne, Gemunu H., Preethi H. Gunaratne, Lars Seemann, & Andrei Török. (2010). Using Effective Subnetworks to Predict Selected Properties of Gene Networks. PLoS ONE. 5(10). e13080–e13080. 5 indexed citations
10.
Gunaratne, Gemunu H., Matthew Nicol, Lars Seemann, & Andrei Török. (2009). Clustering of volatility in variable diffusion processes. Physica A Statistical Mechanics and its Applications. 388(20). 4424–4430. 7 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026