Daniel E. Worrall

1.8k total citations
7 papers, 401 citations indexed

About

Daniel E. Worrall is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Daniel E. Worrall has authored 7 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Infectious Diseases. Recurrent topics in Daniel E. Worrall's work include Advanced Image and Video Retrieval Techniques (2 papers), Advanced Neural Network Applications (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Daniel E. Worrall is often cited by papers focused on Advanced Image and Video Retrieval Techniques (2 papers), Advanced Neural Network Applications (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Daniel E. Worrall collaborates with scholars based in Netherlands, United Kingdom and Italy. Daniel E. Worrall's co-authors include Daniyar Turmukhambetov, Gabriel Brostow, Stephan J. Garbin, Max Welling, Aurobrata Ghosh, Daniel C. Alexander, Ryutaro Tanno, Enrico Kaden, Stamatios N. Sotiropoulos and Francesco Grussu and has published in prestigious journals such as NeuroImage, Scientific Reports and UvA-DARE (University of Amsterdam).

In The Last Decade

Daniel E. Worrall

7 papers receiving 383 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel E. Worrall Netherlands	5	217	126	63	38	36	7	401
Stephan J. Garbin United Kingdom	4	208 1.0×	90 0.7×	27 0.4×	44 1.2×	33 0.9×	7	333
Daniyar Turmukhambetov United Kingdom	6	237 1.1×	98 0.8×	23 0.4×	49 1.3×	36 1.0×	10	362
Jin Qi China	13	218 1.0×	100 0.8×	74 1.2×	9 0.2×	42 1.2×	53	478
Yunchen Pu United States	11	307 1.4×	229 1.8×	44 0.7×	120 3.2×	67 1.9×	30	529
Osama M. Abo-Seida Egypt	9	71 0.3×	226 1.8×	151 2.4×	38 1.0×	14 0.4×	35	440
Raghav Subbarao United States	7	224 1.0×	58 0.5×	14 0.2×	34 0.9×	26 0.7×	9	309
Shitong Luo China	7	216 1.0×	37 0.3×	46 0.7×	221 5.8×	12 0.3×	9	476
Jack Perkins Australia	4	184 0.8×	143 1.1×	23 0.4×	17 0.4×	39 1.1×	6	433
Subhojit Som United States	7	241 1.1×	151 1.2×	63 1.0×	108 2.8×	19 0.5×	12	448
Victor Lempitsky Russia	5	282 1.3×	66 0.5×	20 0.3×	53 1.4×	28 0.8×	6	388

Countries citing papers authored by Daniel E. Worrall

Since Specialization

Citations

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

Fields of papers citing papers by Daniel E. Worrall

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel E. Worrall

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Yockey, Laura J., Fatima A. Hussain, Agnès Bergerat, et al.. (2022). Screening and characterization of vaginal fluid donations for vaginal microbiota transplantation. Scientific Reports. 12(1). 17948–17948. 26 indexed citations

2.

Fuchs, Fabian B., Daniel E. Worrall, Volker Fischer, & Max Welling. (2020). SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks. UvA-DARE (University of Amsterdam). 33. 1970–1981. 14 indexed citations

3.

Tanno, Ryutaro, Daniel E. Worrall, Enrico Kaden, et al.. (2020). Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI. NeuroImage. 225. 117366–117366. 65 indexed citations

4.

Worrall, Daniel E. & Max Welling. (2019). Deep Scale-spaces: Equivariance Over Scale. UvA-DARE (University of Amsterdam). 32. 7364–7376. 15 indexed citations

5.

Worrall, Daniel E., et al.. (2019). Learning to Convolve: A Generalized Weight-Tying Approach. UvA-DARE (University of Amsterdam). 97. 1586–1595. 1 indexed citations

6.

Worrall, Daniel E., et al.. (2017). Virtual Adversarial Ladder Networks For Semi-supervised Learning. UCL Discovery (University College London). 1 indexed citations

7.

Worrall, Daniel E., Stephan J. Garbin, Daniyar Turmukhambetov, & Gabriel Brostow. (2017). Harmonic Networks: Deep Translation and Rotation Equivariance. 7168–7177. 279 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