Daniel Kessler

2.9k total citations
40 papers, 1.4k citations indexed

About

Daniel Kessler is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Materials Chemistry. According to data from OpenAlex, Daniel Kessler has authored 40 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 10 papers in Experimental and Cognitive Psychology and 8 papers in Materials Chemistry. Recurrent topics in Daniel Kessler's work include Functional Brain Connectivity Studies (16 papers), Neural dynamics and brain function (8 papers) and Solidification and crystal growth phenomena (7 papers). Daniel Kessler is often cited by papers focused on Functional Brain Connectivity Studies (16 papers), Neural dynamics and brain function (8 papers) and Solidification and crystal growth phenomena (7 papers). Daniel Kessler collaborates with scholars based in United States, China and Switzerland. Daniel Kessler's co-authors include Chandra Sripada, Mike Angstadt, Robert C. Welsh, Israel Liberzon, Alfred Schmidt, Ricardo H. Nochetto, John Jonides, Yu Fang, David J. Srolovitz and M. Atzmon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel Kessler

38 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Kessler United States 20 819 374 329 326 148 40 1.4k
Hitoshi Kuwabara Japan 23 1.0k 1.3× 386 1.0× 251 0.8× 446 1.4× 191 1.3× 62 2.0k
Marc Korczykowski United States 24 1.2k 1.5× 403 1.1× 386 1.2× 373 1.1× 778 5.3× 29 3.0k
Hu Cheng United States 19 604 0.7× 177 0.5× 166 0.5× 181 0.6× 475 3.2× 62 1.3k
Mark DiFrancesco United States 20 673 0.8× 197 0.5× 194 0.6× 56 0.2× 197 1.3× 53 1.2k
Christina Triantafyllou United States 31 2.7k 3.3× 440 1.2× 590 1.8× 215 0.7× 1.8k 12.2× 55 4.4k
Kenneth J. Pope Australia 22 1.2k 1.5× 172 0.5× 117 0.4× 133 0.4× 40 0.3× 67 1.8k
Vadim Zotev United States 28 1.9k 2.3× 249 0.7× 493 1.5× 251 0.8× 586 4.0× 72 2.8k
James N. Lee United States 23 766 0.9× 236 0.6× 194 0.6× 112 0.3× 875 5.9× 48 1.8k
Pierre Lalonde Canada 24 362 0.4× 828 2.2× 143 0.4× 314 1.0× 42 0.3× 67 1.6k

Countries citing papers authored by Daniel Kessler

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kessler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Kessler

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Kessler. A scholar is included among the top collaborators of Daniel Kessler 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 Daniel Kessler. Daniel Kessler 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.
Kessler, Daniel, et al.. (2026). Enhancing vortex-flow-meter precision using physics-informed contrastive learning. Flow Measurement and Instrumentation. 109. 103207–103207.
2.
Liu, Boyuan, Daniel Kessler, Anastasia Fialkov, et al.. (2025). Effects of chemically homogeneous evolution of the first stars on the 21-cm signal and reionization. Monthly Notices of the Royal Astronomical Society. 541(4). 3113–3133. 3 indexed citations
3.
Sripada, Chandra, Mike Angstadt, Aman Taxali, et al.. (2021). Widespread attenuating changes in brain connectivity associated with the general factor of psychopathology in 9- and 10-year olds. Translational Psychiatry. 11(1). 575–575. 14 indexed citations
4.
Ip, Ka I, Alison L. Miller, Mayumi Karasawa, et al.. (2020). Emotion expression and regulation in three cultures: Chinese, Japanese, and American preschoolers’ reactions to disappointment. Journal of Experimental Child Psychology. 201. 104972–104972. 39 indexed citations
5.
Sheynin, Jony, Elizabeth R. Duval, J. Cobb Scott, et al.. (2020). Altered resting-state functional connectivity in adolescents is associated with PTSD symptoms and trauma exposure. NeuroImage Clinical. 26. 102215–102215. 29 indexed citations
6.
Lin, Hsiang‐Yuan, Daniel Kessler, Wen‐Yih Isaac Tseng, & Susan Shur‐Fen Gau. (2019). Increased Functional Segregation Related to the Salience Network in Unaffected Siblings of Youths With Attention-Deficit/Hyperactivity Disorder. Journal of the American Academy of Child & Adolescent Psychiatry. 60(1). 152–165. 17 indexed citations
7.
Sripada, Chandra, et al.. (2019). Basic Units of Inter-Individual Variation in Resting State Connectomes. Scientific Reports. 9(1). 1900–1900. 46 indexed citations
8.
Avena‐Koenigsberger, Andrea, Shannon L. Risacher, John D. West, et al.. (2019). Resting state network modularity along the prodromal late onset Alzheimer's disease continuum. NeuroImage Clinical. 22. 101687–101687. 43 indexed citations
9.
Chang, Soo‐Eun, Mike Angstadt, Ho Ming Chow, et al.. (2017). Anomalous network architecture of the resting brain in children who stutter. Journal of Fluency Disorders. 55. 46–67. 59 indexed citations
10.
Doan, Stacey N., Twila Tardif, Alison L. Miller, et al.. (2016). Consequences of ‘tiger’ parenting: a cross‐cultural study of maternal psychological control and children's cortisol stress response. Developmental Science. 20(3). 24 indexed citations
11.
Sripada, Chandra, Daniel Kessler, & John Jonides. (2016). Sifting Signal From Noise With Replication Science. Perspectives on Psychological Science. 11(4). 576–578. 28 indexed citations
12.
King, Anthony P., Stefanie Russman Block, Rebecca K. Sripada, et al.. (2016). ALTERED DEFAULT MODE NETWORK (DMN) RESTING STATE FUNCTIONAL CONNECTIVITY FOLLOWING A MINDFULNESS‐BASED EXPOSURE THERAPY FOR POSTTRAUMATIC STRESS DISORDER (PTSD) IN COMBAT VETERANS OF AFGHANISTAN AND IRAQ. Depression and Anxiety. 33(4). 289–299. 141 indexed citations
13.
Kessler, Daniel, Mike Angstadt, Robert C. Welsh, & Chandra Sripada. (2014). Modality-Spanning Deficits in Attention-Deficit/Hyperactivity Disorder in Functional Networks, Gray Matter, and White Matter. Journal of Neuroscience. 34(50). 16555–16566. 67 indexed citations
14.
Watanabe, Takanori, et al.. (2014). Scalable fused Lasso SVM for connectome-based disease prediction. PubMed. 106. 5989–5993. 2 indexed citations
15.
Sripada, Chandra, et al.. (2014). Disrupted network architecture of the resting brain in attention‐deficit/hyperactivity disorder. Human Brain Mapping. 35(9). 4693–4705. 144 indexed citations
16.
Watanabe, Takanori, Daniel Kessler, Clayton Scott, Mike Angstadt, & Chandra Sripada. (2014). Disease prediction based on functional connectomes using a scalable and spatially-informed support vector machine. NeuroImage. 96. 183–202. 47 indexed citations
17.
Sripada, Chandra, Daniel Kessler, Robert C. Welsh, et al.. (2013). Distributed effects of methylphenidate on the network structure of the resting brain: A connectomic pattern classification analysis. NeuroImage. 81. 213–221. 40 indexed citations
18.
Sripada, Chandra, Mike Angstadt, Daniel Kessler, et al.. (2013). Volitional regulation of emotions produces distributed alterations in connectivity between visual, attention control, and default networks. NeuroImage. 89. 110–121. 66 indexed citations
19.
Olson, Sheryl L., Twila Tardif, Alison L. Miller, et al.. (2011). Inhibitory Control and Harsh Discipline as Predictors of Externalizing Problems in Young Children: A Comparative Study of U.S., Chinese, and Japanese Preschoolers. Journal of Abnormal Child Psychology. 39(8). 1163–1175. 62 indexed citations
20.
Hajnal, A., Jennifer E. Nyland, Nikhil Acharya, & Daniel Kessler. (2009). Sucrose is more potent to prevent habituation of accumbens dopamine release than corn oil. Appetite. 52(3). 835–835. 2 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