Darren Walls

553 total citations
10 papers, 242 citations indexed

About

Darren Walls is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Darren Walls has authored 10 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Darren Walls's work include Topic Modeling (4 papers), Natural Language Processing Techniques (4 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Darren Walls is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (4 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Darren Walls collaborates with scholars based in United Kingdom, Australia and Italy. Darren Walls's co-authors include Debra Lewis, Madhu Chetty, Gour Karmakar, Adrian Shatte, Saif Khan, Marilena Rega, S-H Chen, Joanna C. Porter, Asim Afaq and C. Fiorini and has published in prestigious journals such as Journal of Experimental Botany, Journal of Nuclear Medicine and Cancers.

In The Last Decade

Darren Walls

9 papers receiving 209 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Darren Walls United Kingdom	4	134	106	67	28	18	10	242
Oyetola O. Oyebanji Nigeria	9	85 0.6×	106 1.0×	133 2.0×	17 0.6×	20 1.1×	32	264
Jennifer Thorsch United States	12	246 1.8×	110 1.0×	121 1.8×	21 0.8×	30 1.7×	19	331
Li Liao China	8	81 0.6×	33 0.3×	54 0.8×	17 0.6×	16 0.9×	34	218
Bryan G. Bowes United Kingdom	10	220 1.6×	67 0.6×	147 2.2×	24 0.9×	21 1.2×	32	294
G. Faccioli Italy	7	265 2.0×	62 0.6×	128 1.9×	17 0.6×	10 0.6×	20	308
Jianying Xiang China	9	89 0.7×	178 1.7×	135 2.0×	8 0.3×	20 1.1×	28	302
Tuo He China	11	51 0.4×	60 0.6×	204 3.0×	10 0.4×	37 2.1×	27	388
Robert D. Warmbrodt United States	15	382 2.9×	90 0.8×	145 2.2×	21 0.8×	23 1.3×	31	463
Tova Arzee Israel	11	242 1.8×	91 0.9×	155 2.3×	35 1.3×	25 1.4×	35	310
Maria Emília Maranhão Estelita Brazil	10	216 1.6×	190 1.8×	107 1.6×	60 2.1×	3 0.2×	18	328

Countries citing papers authored by Darren Walls

Since Specialization

Citations

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

Fields of papers citing papers by Darren Walls

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darren Walls

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

All Works

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10 of 10 papers shown

Ganeshan, Balaji, Thida Win, Nicholas Screaton, et al.. (2025). [¹⁸F]FDG PET/CT Predicts Patient Survival in Patients with Systemic Sclerosis–Associated Interstitial Lung Disease. Journal of Nuclear Medicine. 66(7). jnumed.125.269497–jnumed.125.269497. 1 indexed citations

Chetty, Madhu, et al.. (2023). Meaning-Sensitive Text Data Augmentation with Intelligent Masking. ACM Transactions on Intelligent Systems and Technology. 14(6). 1–20. 1 indexed citations

Erlandsson, Kjell, Marco Carminati, Marilena Rega, et al.. (2023). Challenges in Acquiring Clinical Simultaneous SPECT-MRI on a PET-MRI Scanner. IEEE Transactions on Radiation and Plasma Medical Sciences. 7(7). 755–763. 2 indexed citations

Chetty, Madhu, et al.. (2021). From General Language Understanding to Noisy Text Comprehension. Applied Sciences. 11(17). 7814–7814. 3 indexed citations

Ganeshan, Balaji, Kenneth A. Miles, Asim Afaq, et al.. (2021). Texture Analysis of Fractional Water Content Images Acquired during PET/MRI: Initial Evidence for an Association with Total Lesion Glycolysis, Survival and Gene Mutation Profile in Primary Colorectal Cancer. Cancers. 13(11). 2715–2715. 5 indexed citations

Chetty, Madhu, et al.. (2021). Cost Effective Annotation Framework Using Zero-Shot Text Classification. FedUni ResearchOnline (Federation University Australia). 1–8. 3 indexed citations

Chetty, Madhu, et al.. (2020). Pre-trained Language Models with Limited Data for Intent Classification. FedUni ResearchOnline (Federation University Australia). 1–9. 6 indexed citations

Walls, Darren, et al.. (1971). A technique for replica platingCoprinus lagopus, a filamentous fungus. Genetics Research. 17(3). 279–281. 3 indexed citations

Lewis, Debra, et al.. (1967). Immunological Reactions of Single Pollen Grains, Electrophoresis and Enzymology of Pollen Protein Exudates. Journal of Experimental Botany. 18(2). 371–378. 30 indexed citations

10.

Walls, Darren, et al.. (1966). Laboratory Techniques in Botany. Medical Entomology and Zoology. 188 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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