Daniel Emden

1.2k total citations
8 papers, 144 citations indexed

About

Daniel Emden is a scholar working on Experimental and Cognitive Psychology, Applied Psychology and Molecular Biology. According to data from OpenAlex, Daniel Emden has authored 8 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Experimental and Cognitive Psychology, 3 papers in Applied Psychology and 2 papers in Molecular Biology. Recurrent topics in Daniel Emden's work include Mental Health Research Topics (4 papers), Digital Mental Health Interventions (3 papers) and Single-cell and spatial transcriptomics (2 papers). Daniel Emden is often cited by papers focused on Mental Health Research Topics (4 papers), Digital Mental Health Interventions (3 papers) and Single-cell and spatial transcriptomics (2 papers). Daniel Emden collaborates with scholars based in Germany, Australia and Canada. Daniel Emden's co-authors include Nils Opel, Udo Dannlowski, Nils R. Winter, Ramona Leenings, Katja Hebestreit, Christian Rückert, Martin Dugas, Tim Hahn, Carsten Müller‐Tidow and Hans‐Ulrich Klein and has published in prestigious journals such as PLoS ONE, Neuropsychopharmacology and Journal of Affective Disorders.

In The Last Decade

Daniel Emden

8 papers receiving 143 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Emden Germany	5	44	38	35	30	21	8	144
Junfang Chen Germany	7	19 0.4×	8 0.2×	58 1.7×	3 0.1×	3 0.1×	16	115
Victoria Vogel United States	3	23 0.5×	14 0.4×	23 0.7×		6 0.3×	7	344
Fei Yuan China	4	65 1.5×	23 0.6×	40 1.1×	1 0.0×	2 0.1×	7	187
Robert Loughnan United States	8	53 1.2×	27 0.7×	49 1.4×	12 0.4×	1 0.0×	20	183
Wayneho Kam United States	4	56 1.3×	6 0.2×	6 0.2×	22 0.7×		4	153
María Claudia Lattig Colombia	7	32 0.7×	8 0.2×	30 0.9×	5 0.2×	4 0.2×	15	184
Ahmed Abbas France	7	58 1.3×	11 0.3×	104 3.0×	5 0.2×		13	220
Anna K. Kähler Sweden	9	40 0.9×	13 0.3×	70 2.0×		6 0.3×	16	191
Kelly Vallance United States	9	7 0.2×	17 0.4×	74 2.1×	3 0.1×	4 0.2×	19	270

Countries citing papers authored by Daniel Emden

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Emden

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Emden

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

All Works

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8 of 8 papers shown

Fisch, L., Daniel Emden, Jan Ernsting, et al.. (2024). deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks. Computers in Biology and Medicine. 179. 108845–108845. 3 indexed citations

Emden, Daniel, Jerome C. Foo, Fabian Streit, et al.. (2024). Momentary Depression Severity Prediction in Patients With Acute Depression Who Undergo Sleep Deprivation Therapy: Speech-Based Machine Learning Approach. JMIR Mental Health. 11. e64578–e64578. 2 indexed citations

Fisch, L., Michael Heming, Andreas Schulte‐Mecklenbeck, et al.. (2024). GateNet: A novel neural network architecture for automated flow cytometry gating. Computers in Biology and Medicine. 179. 108820–108820. 2 indexed citations

Leenings, Ramona, Nils R. Winter, Lucas Plagwitz, et al.. (2021). PHOTONAI—A Python API for rapid machine learning model development. PLoS ONE. 16(7). e0254062–e0254062. 12 indexed citations

Emden, Daniel, Janik Goltermann, Udo Dannlowski, Tim Hahn, & Nils Opel. (2021). Technical feasibility and adherence of the Remote Monitoring Application in Psychiatry (ReMAP) for the assessment of affective symptoms. Journal of Affective Disorders. 294. 652–660. 13 indexed citations

Flint, Claas, Micah Cearns, Nils Opel, et al.. (2021). Systematic misestimation of machine learning performance in neuroimaging studies of depression. Neuropsychopharmacology. 46(8). 1510–1517. 62 indexed citations

Goltermann, Janik, Daniel Emden, Elisabeth J. Leehr, et al.. (2021). Smartphone-Based Self-Reports of Depressive Symptoms Using the Remote Monitoring Application in Psychiatry (ReMAP): Interformat Validation Study. JMIR Mental Health. 8(1). e24333–e24333. 7 indexed citations

Hebestreit, Katja, Daniel Emden, Christian Rückert, et al.. (2012). Leukemia Gene Atlas – A Public Platform for Integrative Exploration of Genome-Wide Molecular Data. PLoS ONE. 7(6). e39148–e39148. 43 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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