Bjarne Pfitzner

491 total citations · 1 hit paper
16 papers, 234 citations indexed

About

Bjarne Pfitzner is a scholar working on Artificial Intelligence, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Bjarne Pfitzner has authored 16 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Surgery and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Bjarne Pfitzner's work include Privacy-Preserving Technologies in Data (7 papers), Cryptography and Data Security (4 papers) and Cardiac, Anesthesia and Surgical Outcomes (3 papers). Bjarne Pfitzner is often cited by papers focused on Privacy-Preserving Technologies in Data (7 papers), Cryptography and Data Security (4 papers) and Cardiac, Anesthesia and Surgical Outcomes (3 papers). Bjarne Pfitzner collaborates with scholars based in Germany and North Macedonia. Bjarne Pfitzner's co-authors include Bert Arnrich, Nico Steckhan, Felix Balzer, Heinrich Schulz, Sophie Anne Inès Klopfenstein, Axel Saalbach, Valentin Rakovic, Hristijan Gjoreski, Akira-Sebastian Poncette and Andreas Polze and has published in prestigious journals such as IEEE Access, Sensors and Cancers.

In The Last Decade

Bjarne Pfitzner

15 papers receiving 227 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.

Federated Learning in a Medical Context: A Systematic Literature Review

2021 148 citations Bjarne Pfitzner, Nico Steckhan et al. ACM Transactions on Internet Technology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bjarne Pfitzner Germany	7	160	37	32	31	26	16	234
Sirisha Rambhatla United States	7	127 0.8×	12 0.3×	39 1.2×	27 0.9×	14 0.5×	22	271
Ali Raad Lebanon	6	114 0.7×	22 0.6×	10 0.3×	23 0.7×	40 1.5×	14	251
Mohammad Moshawrab Canada	6	114 0.7×	22 0.6×	10 0.3×	23 0.7×	40 1.5×	10	245
Nazish Khalid Pakistan	5	98 0.6×	95 2.6×	9 0.3×	19 0.6×	49 1.9×	12	291
Osamah Mohammed Alyasiri Iraq	9	123 0.8×	95 2.6×	14 0.4×	30 1.0×	35 1.3×	21	285
Siyao Wang China	3	164 1.0×	18 0.5×	28 0.9×	41 1.3×	7 0.3×	11	239
Sarina Aminizadeh Iran	4	70 0.4×	21 0.6×	5 0.2×	39 1.3×	20 0.8×	8	219
Jason Mancuso Germany	2	190 1.2×	60 1.6×	18 0.6×	26 0.8×	65 2.5×	2	265
Yazan Al-Issa Jordan	7	130 0.8×	12 0.3×	10 0.3×	72 2.3×	85 3.3×	13	301

Countries citing papers authored by Bjarne Pfitzner

Since Specialization

Citations

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

Fields of papers citing papers by Bjarne Pfitzner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bjarne Pfitzner

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

All Works

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16 of 16 papers shown

Pfitzner, Bjarne, Maximilian Schulze, Christian Schineis, et al.. (2025). 90-day mortality prediction in elective visceral surgery using machine learning: a retrospective multicenter development, validation, and comparison study. International Journal of Surgery. 111(6). 3742–3751. 1 indexed citations

Pfitzner, Bjarne, Felix Krenzien, Jonas Raakow, et al.. (2024). Enhancing Preoperative Outcome Prediction: A Comparative Retrospective Case–Control Study on Machine Learning versus the International Esodata Study Group Risk Model for Predicting 90-Day Mortality in Oncologic Esophagectomy. Cancers. 16(17). 3000–3000.

Pfitzner, Bjarne, et al.. (2024). Differentially-Private Federated Learning with Non-IID Data for Surgical Risk Prediction. 120–129. 1 indexed citations

Gjoreski, Hristijan, et al.. (2023). Federated Learning for Network Intrusion Detection in Ambient Assisted Living Environments. IEEE Internet Computing. 27(4). 15–22. 4 indexed citations

Denkovski, Daniel, et al.. (2023). Federated Learning for Activity Recognition: A System Level Perspective. IEEE Access. 11. 64442–64457. 7 indexed citations

Klopfenstein, Sophie Anne Inès, et al.. (2022). Computational approaches to alleviate alarm fatigue in intensive care medicine: A systematic literature review. Frontiers in Digital Health. 4. 843747–843747. 20 indexed citations

Pfitzner, Bjarne, et al.. (2022). Extracting Alarm Events from the MIMIC-III Clinical Database. 328–335. 2 indexed citations

Pfitzner, Bjarne, et al.. (2022). Forecasting Thresholds Alarms in Medical Patient Monitors using Time Series Models. 26–34. 1 indexed citations

Pfitzner, Bjarne, et al.. (2022). Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-ray Data. Sensors. 22(14). 5195–5195. 14 indexed citations

10.

Pfitzner, Bjarne, et al.. (2021). Data Augmentation of Kinematic Time-Series From Rehabilitation Exercises Using GANs. 1–6. 5 indexed citations

11.

Pfitzner, Bjarne, et al.. (2021). Differentially Private Federated Learningfor Anomaly Detection in eHealth Networks. 514–518. 9 indexed citations

12.

Pfitzner, Bjarne, et al.. (2021). Sensor-Based Obsessive-Compulsive Disorder Detection With Personalised Federated Learning. 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA). 333–339. 6 indexed citations

13.

Pfitzner, Bjarne, Eric W. Fischer, Simon Moosburner, et al.. (2021). Perioperative Risk Assessment in Pancreatic Surgery Using Machine Learning. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 2211–2214. 7 indexed citations

14.

Pfitzner, Bjarne, Nico Steckhan, & Bert Arnrich. (2021). Federated Learning in a Medical Context: A Systematic Literature Review. ACM Transactions on Internet Technology. 21(2). 1–31. 148 indexed citations breakdown →

15.

Schmid, Robert, et al.. (2020). Tangle Ledger for Decentralized Learning. 852–859. 8 indexed citations

16.

Pfitzner, Bjarne, et al.. (2019). Unobtrusive Measurement of Blood Pressure During Lifestyle Interventions. 1 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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