Hugo L. Hammer

2.2k total citations · 1 hit paper
99 papers, 913 citations indexed

About

Hugo L. Hammer is a scholar working on Artificial Intelligence, Computer Networks and Communications and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Hugo L. Hammer has authored 99 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 20 papers in Computer Networks and Communications and 10 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Hugo L. Hammer's work include Machine Learning and Algorithms (11 papers), Data Stream Mining Techniques (10 papers) and Reproductive Biology and Fertility (8 papers). Hugo L. Hammer is often cited by papers focused on Machine Learning and Algorithms (11 papers), Data Stream Mining Techniques (10 papers) and Reproductive Biology and Fertility (8 papers). Hugo L. Hammer collaborates with scholars based in Norway, Sweden and Canada. Hugo L. Hammer's co-authors include Michael A. Riegler, Anis Yazidi, Pål Halvorsen, Steven A. Hicks, Vajira Thambawita, Thomas de Lange, Dag Johansen, Debesh Jha, Mathias Lux and Håkon Tjelmeland and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Hugo L. Hammer

91 papers receiving 886 citations

Hit Papers

align trajectories sort by overperformance

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.

HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy

2020 261 citations Steven A. Hicks, Debesh Jha et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hugo L. Hammer Norway	13	348	172	164	141	76	99	913
Steven A. Hicks Norway	18	476 1.4×	241 1.4×	355 2.2×	314 2.2×	26 0.3×	67	1.5k
Sheng Yu China	22	668 1.9×	21 0.1×	127 0.8×	32 0.2×	42 0.6×	82	1.6k
Klaus Schoeffmann Austria	22	213 0.6×	98 0.6×	69 0.4×	1.1k 7.8×	17 0.2×	126	1.4k
Ehsan Kazemi United States	13	438 1.3×	43 0.3×	174 1.1×	147 1.0×	80 1.1×	24	991
Håvard D. Johansen Norway	13	408 1.2×	269 1.6×	311 1.9×	424 3.0×	137 1.8×	54	1.1k
Eva Iglesias Spain	15	276 0.8×	31 0.2×	41 0.3×	66 0.5×	63 0.8×	54	757
Prajoy Podder Bangladesh	19	463 1.3×	34 0.2×	298 1.8×	143 1.0×	117 1.5×	52	1.2k
Melissa Berthelot United Kingdom	6	511 1.5×	34 0.2×	346 2.1×	203 1.4×	44 0.6×	11	1.3k
Corey Arnold United States	24	657 1.9×	94 0.5×	430 2.6×	241 1.7×	13 0.2×	105	1.7k

Countries citing papers authored by Hugo L. Hammer

Since Specialization

Citations

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

Fields of papers citing papers by Hugo L. Hammer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hugo L. Hammer. 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 Hugo L. Hammer. The network helps show where Hugo L. Hammer may publish in the future.

Co-authorship network of co-authors of Hugo L. Hammer

This figure shows the co-authorship network connecting the top 25 collaborators of Hugo L. Hammer. A scholar is included among the top collaborators of Hugo L. Hammer 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 Hugo L. Hammer. Hugo L. Hammer 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:

20 of 20 papers shown

Sehic, Amer, et al.. (2025). Comparing the Effectiveness of Human Extracted Teeth and Plastic Teeth in Teaching Dental Anatomy. Dentistry Journal. 13(3). 105–105.

Riegler, Michael, et al.. (2024). Exploring Embryo Development at the Morula Stage - an AI-based Approach to Determine Whether to Use or Discard an Embryo. 1–8. 1 indexed citations

Riegler, Michael A., et al.. (2024). Efficient Estimation of Generative Models Using Tukey Depth. Algorithms. 17(3). 120–120. 1 indexed citations

Riegler, Michael A., Øygunn Aass Utheim, Kjell Gunnar Gundersen, et al.. (2024). Classifying Dry Eye Disease Patients from Healthy Controls Using Machine Learning and Metabolomics Data. Diagnostics. 14(23). 2696–2696. 1 indexed citations

Hammer, Hugo L., Michael A. Riegler, & Håkon Tjelmeland. (2023). Approximate Bayesian Inference Based on Expected Evaluation. Bayesian Analysis. 19(3). 2 indexed citations

Riegler, Michael A., et al.. (2023). A Deep Diagnostic Framework Using Explainable Artificial Intelligence and Clustering. Diagnostics. 13(22). 3413–3413. 1 indexed citations

Stensen, Mette H., et al.. (2023). Predicting Cell Cleavage Timings from Time-Lapse Videos of Human Embryos. Big Data and Cognitive Computing. 7(2). 91–91. 4 indexed citations

Riegler, Michael A., et al.. (2021). Unraveling the Impact of Land Cover Changes on Climate Using Machine Learning and Explainable Artificial Intelligence. Big Data and Cognitive Computing. 5(4). 55–55. 8 indexed citations

Yazidi, Anis, et al.. (2020). Balanced difficulty task finder: an adaptive recommendation method for learning tasks based on the concept of state of flow. Cognitive Neurodynamics. 14(5). 675–687. 9 indexed citations

10.

Yazidi, Anis, et al.. (2020). Achieving Fair Load Balancing by Invoking a Learning Automata-Based Two-Time-Scale Separation Paradigm. IEEE Transactions on Neural Networks and Learning Systems. 32(8). 3444–3457. 4 indexed citations

11.

Hicks, Steven A., Pål Halvorsen, Trine B. Haugen, et al.. (2019). Predicting Sperm Motility and Morphology Using Deep Learning and Handcrafted Features.. MediaEval. 2 indexed citations

12.

Hicks, Steven A., Pål Halvorsen, Trine B. Haugen, et al.. (2019). Medico Multimedia Task at MediaEval 2019.. MediaEval. 5 indexed citations

13.

Tatara, Naoe, Hugo L. Hammer, Jelena Mirković, Marte Karoline Råberg Kjøllesdal, & Hege Andreassen. (2019). Associations Between Immigration-Related User Factors and eHealth Activities for Self-Care: Case of First-Generation Immigrants From Pakistan in the Oslo Area, Norway. JMIR Public Health and Surveillance. 5(3). e11998–e11998. 5 indexed citations

14.

Lind, Pedro G., Anis Yazidi, Jianhua Zhang, et al.. (2019). EvoDynamic: a framework for the evolution of generally represented dynamical systems and its application to self-organized criticality. 1 indexed citations

15.

Thambawita, Vajira, Debesh Jha, Michael A. Riegler, et al.. (2018). The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract Using Global Features and Deep Learning.. MediaEval. 1 indexed citations

16.

Yazidi, Anis, Hugo L. Hammer, & B. John Oommen. (2018). Higher-Fidelity Frugal and Accurate Quantile Estimation Using a Novel Incremental <italic>Discretized</italic> Paradigm. IEEE Access. 6. 24362–24374. 2 indexed citations

17.

Tatara, Naoe, Hugo L. Hammer, Hege Andreassen, Jelena Mirković, & Marte Karoline Råberg Kjøllesdal. (2017). The Association Between Commonly Investigated User Factors and Various Types of eHealth Use for Self-Care of Type 2 Diabetes: Case of First-Generation Immigrants From Pakistan in the Oslo Area, Norway. JMIR Public Health and Surveillance. 3(4). e68–e68. 4 indexed citations

18.

Haugerud, Hårek, et al.. (2015). Does clicker use improve exam scores? a controlled randomized experiment in a bachelor-level course in software engineering. International journal of engineering education. 31(2). 505–520. 6 indexed citations

19.

Engelstad, Paal, et al.. (2015). Advanced Classification Lists (Dirty Word Lists) for Automatic Security Classification. 44–53. 5 indexed citations

20.

Hammer, Hugo L., et al.. (2011). Déjà vu: predicting the number of players in online games through normalization of historical data. 13. 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