Erich Kummerfeld

789 total citations
44 papers, 421 citations indexed

About

Erich Kummerfeld is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Clinical Psychology. According to data from OpenAlex, Erich Kummerfeld has authored 44 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 14 papers in Experimental and Cognitive Psychology and 9 papers in Clinical Psychology. Recurrent topics in Erich Kummerfeld's work include Mental Health Research Topics (13 papers), Functional Brain Connectivity Studies (9 papers) and Bayesian Modeling and Causal Inference (6 papers). Erich Kummerfeld is often cited by papers focused on Mental Health Research Topics (13 papers), Functional Brain Connectivity Studies (9 papers) and Bayesian Modeling and Causal Inference (6 papers). Erich Kummerfeld collaborates with scholars based in United States, Australia and Argentina. Erich Kummerfeld's co-authors include Kevin Zollman, Sisi Ma, Sophia Vinogradov, Michael V. Bronstein, Anna Zilverstand, Eric Rawls, Matt G. Kushner, Christopher J. Tignanelli, A. David Redish and Mark R. Hemmila and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.

In The Last Decade

Erich Kummerfeld

36 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erich Kummerfeld United States 12 76 64 58 56 54 44 421
Giusi Moffa Switzerland 12 44 0.6× 100 1.6× 49 0.8× 54 1.0× 41 0.8× 34 575
Erin D. Foster United States 7 77 1.0× 55 0.9× 22 0.4× 56 1.0× 35 0.6× 13 577
Xi Han China 11 46 0.6× 39 0.6× 32 0.6× 15 0.3× 42 0.8× 24 444
Christopher Nguyen United States 13 46 0.6× 29 0.5× 25 0.4× 29 0.5× 41 0.8× 43 508
Peter Roeper United States 15 16 0.2× 92 1.4× 166 2.9× 47 0.8× 87 1.6× 39 1.0k
Michael Oliver United States 15 373 4.9× 60 0.9× 88 1.5× 34 0.6× 46 0.9× 35 855
Tsung‐Chin Wu United States 14 23 0.3× 38 0.6× 70 1.2× 17 0.3× 65 1.2× 32 515
Susan Stuart United Kingdom 12 63 0.8× 30 0.5× 125 2.2× 23 0.4× 35 0.6× 54 596
Sarah Delozier United States 10 93 1.2× 72 1.1× 97 1.7× 35 0.6× 15 0.3× 39 806
Ariel Deardorff United States 6 61 0.8× 52 0.8× 16 0.3× 57 1.0× 27 0.5× 10 468

Countries citing papers authored by Erich Kummerfeld

Since Specialization
Citations

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

Fields of papers citing papers by Erich Kummerfeld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erich Kummerfeld

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

All Works

20 of 20 papers shown
1.
Ma, Sisi, Monica J. Hubal, Matthew Morris, et al.. (2025). Sex-specific skeletal muscle gene expression responses to exercise reveal novel direct mediators of insulin sensitivity change. PubMed. 2(2). ugaf010–ugaf010. 1 indexed citations
4.
Anderson, Lisa M., Kelvin O. Lim, Erich Kummerfeld, et al.. (2023). Causal discovery analysis: A promising tool in advancing precision medicine for eating disorders. International Journal of Eating Disorders. 56(11). 2012–2021. 10 indexed citations
5.
Pierce, Benjamin, Adam R. Ferguson, Thomas C. Neylan, et al.. (2023). Causal discovery replicates symptomatic and functional interrelations of posttraumatic stress across five patient populations. Frontiers in Psychiatry. 13.
6.
Pierce, Benjamin, Adam R. Ferguson, Thomas C. Neylan, et al.. (2023). Causal discovery replicates symptomatic and functional interrelations of posttraumatic stress across five patient populations. Frontiers in Psychiatry. 13. 1018111–1018111.
7.
Kummerfeld, Erich, et al.. (2023). Power analysis for causal discovery. International Journal of Data Science and Analytics. 17(3). 289–304. 3 indexed citations
8.
Kummerfeld, Erich & Galin L. Jones. (2023). One data set, many analysts: Implications for practicing scientists. Frontiers in Psychology. 14. 1094150–1094150. 3 indexed citations
9.
Sun, Ju, Genevieve B. Melton, Nicholas E. Ingraham, et al.. (2022). Performance of a Chest Radiograph AI Diagnostic Tool for COVID-19: A Prospective Observational Study. Radiology Artificial Intelligence. 4(4). e210217–e210217. 23 indexed citations
10.
Stevenson, Brittany L., Erich Kummerfeld, Jennifer E. Merrill, et al.. (2022). Quantifying heterogeneity in mood–alcohol relationships with idiographic causal models. Alcoholism Clinical and Experimental Research. 46(10). 1913–1924. 7 indexed citations
11.
Rawls, Eric, Erich Kummerfeld, Bryon A. Mueller, Sisi Ma, & Anna Zilverstand. (2022). The resting-state causal human connectome is characterized by hub connectivity of executive and attentional networks. NeuroImage. 255. 119211–119211. 13 indexed citations
12.
13.
Musa, George J., Bin Fan, Keely Cheslack‐Postava, et al.. (2021). Neighborhood characteristics and psychiatric disorders in the aftermath of mass trauma: A representative study of New York City public school 4th-12th graders after 9/11. Journal of Psychiatric Research. 138. 584–590. 3 indexed citations
14.
Bronstein, Michael V., Erich Kummerfeld, Angus W. MacDonald, & Sophia Vinogradov. (2021). Willingness to vaccinate against SARS-CoV-2: The role of reasoning biases and conspiracist ideation. Vaccine. 40(2). 213–222. 27 indexed citations
15.
Kummerfeld, Erich. (2021). A simple interpretation of undirected edges in essential graphs is wrong. PLoS ONE. 16(4). e0249415–e0249415. 2 indexed citations
16.
Rawls, Eric, Erich Kummerfeld, & Anna Zilverstand. (2021). An integrated multimodal model of alcohol use disorder generated by data-driven causal discovery analysis. Communications Biology. 4(1). 435–435. 25 indexed citations
17.
Meyer-Kalos, Piper, et al.. (2021). Causal pathways to social and occupational functioning in the first episode of schizophrenia: uncovering unmet treatment needs. Psychological Medicine. 53(5). 2041–2049. 15 indexed citations
18.
Kummerfeld, Erich, Sisi Ma, Rachael K. Blackman, et al.. (2020). Cognitive Control Errors in Nonhuman Primates Resembling Those in Schizophrenia Reflect Opposing Effects of NMDA Receptor Blockade on Causal Interactions Between Cells and Circuits in Prefrontal and Parietal Cortices. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 5(7). 705–714. 8 indexed citations
19.
Morris, Rachel, David Milia, James W. Glover, et al.. (2019). Predictors of elderly mortality after trauma: A novel outcome score. The Journal of Trauma: Injury, Infection, and Critical Care. 88(3). 416–424. 25 indexed citations
20.
Kummerfeld, Erich & David Danks. (2018). Tracking Time-varying Graphical Structure. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 26. 1205–1213. 4 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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