Julia Handl

4.5k total citations · 2 hit papers
53 papers, 2.5k citations indexed

About

Julia Handl is a scholar working on Artificial Intelligence, Molecular Biology and Statistical and Nonlinear Physics. According to data from OpenAlex, Julia Handl has authored 53 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 14 papers in Molecular Biology and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Julia Handl's work include Advanced Clustering Algorithms Research (15 papers), Metaheuristic Optimization Algorithms Research (12 papers) and Protein Structure and Dynamics (7 papers). Julia Handl is often cited by papers focused on Advanced Clustering Algorithms Research (15 papers), Metaheuristic Optimization Algorithms Research (12 papers) and Protein Structure and Dynamics (7 papers). Julia Handl collaborates with scholars based in United Kingdom, United States and Mexico. Julia Handl's co-authors include Joshua Knowles, Douglas B. Kell, Marco Dorigo, Bernd Meyer, Steve O’Hagan, Simon C. Lovell, Mario Garza-Fabre, Neil Swainston, Richard Allmendinger and Royston Goodacre and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Journal of Cleaner Production.

In The Last Decade

Julia Handl

51 papers receiving 2.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Computational cluster validation in post-genomic data analysis

2005 621 citations Julia Handl, Joshua Knowles et al. Bioinformatics profile →
An Evolutionary Approach to Multiobjective Clustering

2007 481 citations Julia Handl, Joshua Knowles IEEE Transactions on Evolutionary Computation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julia Handl United Kingdom	20	1.2k	800	436	313	267	53	2.5k
Arlindo L. Oliveira Portugal	22	960 0.8×	1.6k 2.0×	396 0.9×	333 1.1×	129 0.5×	111	3.2k
Boris Mirkin Russia	24	1.2k 1.0×	966 1.2×	314 0.7×	563 1.8×	238 0.9×	94	3.1k
Tingyang Xu China	24	1.2k 1.1×	567 0.7×	621 1.4×	436 1.4×	378 1.4×	55	2.5k
Zengyou He China	24	1.5k 1.2×	1.1k 1.4×	305 0.7×	276 0.9×	124 0.5×	94	3.1k
Sara C. Madeira Portugal	22	769 0.7×	1.8k 2.3×	233 0.5×	279 0.9×	108 0.4×	66	2.9k
Hiroshi Mamitsuka Japan	35	1.1k 1.0×	2.7k 3.4×	1.0k 2.4×	391 1.2×	170 0.6×	180	4.3k
William F. Punch United States	27	2.3k 1.9×	498 0.6×	463 1.1×	901 2.9×	331 1.2×	81	3.8k
Michael R. Berthold Germany	25	1.2k 1.0×	1.1k 1.3×	643 1.5×	470 1.5×	69 0.3×	151	4.0k
Petra Mutzel Germany	20	380 0.3×	494 0.6×	614 1.4×	501 1.6×	224 0.8×	112	2.0k
Ka‐Chun Wong Hong Kong	36	1.5k 1.3×	1.6k 2.0×	1.1k 2.5×	217 0.7×	65 0.2×	220	4.1k

Countries citing papers authored by Julia Handl

Since Specialization

Citations

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

Fields of papers citing papers by Julia Handl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Handl

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

All Works

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20 of 20 papers shown

Smith‐Miles, Kate, et al.. (2024). Extending Instance Space Analysis to Algorithm Configuration Spaces. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 147–150.

Handl, Julia, et al.. (2024). A Graph Reinforcement Learning Framework for Neural Adaptive Large Neighbourhood Search. Computers & Operations Research. 172. 106791–106791. 8 indexed citations

Hunter, Helen, et al.. (2024). Deep learning pipeline reveals key moments in human embryonic development predictive of live birth after in vitro fertilization. Biology Methods and Protocols. 9(1). bpae052–bpae052. 4 indexed citations

Allmendinger, Richard, et al.. (2021). HAWKS: Evolving Challenging Benchmark Sets for Cluster Analysis. IEEE Transactions on Evolutionary Computation. 26(6). 1206–1220. 5 indexed citations

José-García, Adán, Julia Handl, Wilfrido Gómez‐Flores, & Mario Garza-Fabre. (2021). An evolutionary many-objective approach to multiview clustering using feature and relational data. Applied Soft Computing. 108. 107425–107425. 14 indexed citations

Boons, Frank, et al.. (2019). Understanding the Evolution of Circular Economy through Language Change. Research Explorer (The University of Manchester). 250–253. 4 indexed citations

Kandathil, Shaun M., Mario Garza-Fabre, Julia Handl, & Simon C. Lovell. (2018). Improved fragment-based protein structure prediction by redesign of search heuristics. Scientific Reports. 8(1). 13694–13694. 12 indexed citations

Handl, Julia, et al.. (2018). Determining analogies based on the integration of multiple information sources. International Journal of Forecasting. 34(3). 507–528. 1 indexed citations

Garza-Fabre, Mario, Julia Handl, & Joshua Knowles. (2017). An Improved and More Scalable Evolutionary Approach to Multiobjective Clustering. IEEE Transactions on Evolutionary Computation. 22(4). 515–535. 33 indexed citations

10.

Kandathil, Shaun M., Julia Handl, & Simon C. Lovell. (2016). Toward a detailed understanding of search trajectories in fragment assembly approaches to protein structure prediction. Proteins Structure Function and Bioinformatics. 84(4). 411–426. 14 indexed citations

11.

Webb, Andrew, Julia Handl, & Joshua Knowles. (2015). How Much Should You Select for Evolvability?. University of Birmingham Research Portal (University of Birmingham). 487–494. 1 indexed citations

12.

Yang, Jianbo, et al.. (2015). Interactive multi-objective vehicle routing via GA-based dynamic programming. 16. 318–322. 2 indexed citations

13.

O’Hagan, Steve, Neil Swainston, Julia Handl, & Douglas B. Kell. (2014). A ‘rule of 0.5’ for the metabolite-likeness of approved pharmaceutical drugs. Metabolomics. 11(2). 323–339. 76 indexed citations

14.

Aler, Ricardo, Julia Handl, & Joshua Knowles. (2013). Comparing multi-objective and threshold-moving ROC curve generation for a prototype-based classifier. Research Explorer (The University of Manchester). 1029–1036. 4 indexed citations

15.

Handl, Julia, Joshua Knowles, Robert M. Vernon, David Baker, & Simon C. Lovell. (2011). The dual role of fragments in fragment‐assembly methods for de novo protein structure prediction. Proteins Structure Function and Bioinformatics. 80(2). 490–504. 38 indexed citations

16.

Handl, Julia, et al.. (2010). Streamlining the construction of large-scale dynamic models using generic kinetic equations. Bioinformatics. 26(10). 1324–1331. 11 indexed citations

17.

Handl, Julia, Joshua Knowles, & Douglas B. Kell. (2005). Computational cluster validation in post-genomic data analysis. Bioinformatics. 21(15). 3201–3212. 621 indexed citations breakdown →

18.

Brown, Marie, Royston Goodacre, Julia Handl, et al.. (2005). A metabolome pipeline: from concept to data to knowledge. Metabolomics. 5 indexed citations

19.

Handl, Julia, Joshua Knowles, & Marco Dorigo. (2004). Strategies for the increased robustness of ant-based clustering. Lecture notes in computer science. 2977. 90–104. 28 indexed citations

20.

Handl, Julia, Joshua Knowles, & Marco Dorigo. (2003). On the performance of ant-based clustering. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 204–213. 59 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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