Mattias Ohlsson

4.5k total citations
152 papers, 2.9k citations indexed

About

Mattias Ohlsson is a scholar working on Cardiology and Cardiovascular Medicine, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mattias Ohlsson has authored 152 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Cardiology and Cardiovascular Medicine, 34 papers in Artificial Intelligence and 34 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mattias Ohlsson's work include ECG Monitoring and Analysis (23 papers), Machine Learning in Healthcare (14 papers) and Cardiac Imaging and Diagnostics (12 papers). Mattias Ohlsson is often cited by papers focused on ECG Monitoring and Analysis (23 papers), Machine Learning in Healthcare (14 papers) and Cardiac Imaging and Diagnostics (12 papers). Mattias Ohlsson collaborates with scholars based in Sweden, United States and United Kingdom. Mattias Ohlsson's co-authors include Lars Edenbrandt, Carsten Peterson, Peter Höglund, Johan Nilsson, Ulf Ekelund, Jonas Björk, Tor Ny, Bodil Andersson, Bo Söderberg and Patrik Edén and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Mattias Ohlsson

140 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mattias Ohlsson Sweden	31	664	632	528	428	406	152	2.9k
Nenad Filipović Serbia	29	470 0.7×	512 0.8×	466 0.9×	353 0.8×	675 1.7×	303	3.7k
Adrian Hilton United Kingdom	42	750 1.1×	297 0.5×	655 1.2×	574 1.3×	549 1.4×	325	8.4k
Themis P. Exarchos Greece	19	256 0.4×	654 1.0×	719 1.4×	1.1k 2.6×	285 0.7×	98	3.2k
Kelvin K. L. Wong Australia	39	660 1.0×	728 1.2×	791 1.5×	433 1.0×	511 1.3×	162	4.0k
Veit Sandfort United States	33	587 0.9×	1.8k 2.9×	385 0.7×	262 0.6×	379 0.9×	92	3.8k
Chandan Chakraborty India	46	812 1.2×	736 1.2×	1.6k 3.0×	1.2k 2.7×	473 1.2×	178	7.2k
Ashish Sharma United States	25	637 1.0×	711 1.1×	196 0.4×	1.1k 2.6×	392 1.0×	81	2.6k
C. Carl Jaffe United States	24	369 0.6×	1.5k 2.4×	301 0.6×	291 0.7×	1.3k 3.1×	63	3.4k
Kayvan Najarian United States	31	551 0.8×	811 1.3×	395 0.7×	1.0k 2.3×	276 0.7×	283	4.3k
Ali Madani United States	14	308 0.5×	773 1.2×	693 1.3×	619 1.4×	180 0.4×	17	2.5k

Countries citing papers authored by Mattias Ohlsson

Since Specialization

Citations

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

Fields of papers citing papers by Mattias Ohlsson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mattias Ohlsson

This figure shows the co-authorship network connecting the top 25 collaborators of Mattias Ohlsson. A scholar is included among the top collaborators of Mattias Ohlsson 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 Mattias Ohlsson. Mattias Ohlsson 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

Ashfaq, Awais, Ulf Ekelund, Mattias Ohlsson, et al.. (2025). Utilizing artificial intelligence and medical experts to identify predictors for common diagnoses in dyspneic adults: A cross-sectional study of consecutive emergency department patients from Southern Sweden. International Journal of Medical Informatics. 202. 105969–105969.

Etminani, Kobra, et al.. (2025). Trajectory-Ordered Objectives for Self-Supervised Representation Learning of Temporal Healthcare Data Using Transformers: Model Development and Evaluation Study. JMIR Medical Informatics. 13. e68138–e68138. 1 indexed citations

Ortega‐Martorell, Sandra, et al.. (2024). Advancing personalised care in atrial fibrillation and stroke: The potential impact of AI from prevention to rehabilitation. Trends in Cardiovascular Medicine. 35(4). 205–211. 9 indexed citations

Ortega‐Martorell, Sandra, et al.. (2024). TARGET: A Major European Project Aiming to Advance the Personalised Management of Atrial Fibrillation-Related Stroke via the Development of Health Virtual Twins Technology and Artificial Intelligence. Thrombosis and Haemostasis. 125(1). 7–11. 9 indexed citations

Ohlsson, Mattias, et al.. (2024). The Concordance Index decomposition: A measure for a deeper understanding of survival prediction models. Artificial Intelligence in Medicine. 148. 102781–102781. 10 indexed citations

Ohlsson, Mattias, et al.. (2023). A machine learning model for prediction of 30-day primary graft failure after heart transplantation. Heliyon. 9(3). e14282–e14282. 8 indexed citations

Ohlsson, Mattias, et al.. (2022). The implementation of a noninvasive lymph node staging (NILS) preoperative prediction model is cost effective in primary breast cancer. Breast Cancer Research and Treatment. 194(3). 577–586. 6 indexed citations

Pomares‐Millan, Hugo, Alaitz Poveda, Naeimeh Atabaki‐Pasdar, et al.. (2022). Predicting Sensitivity to Adverse Lifestyle Risk Factors for Cardiometabolic Morbidity and Mortality. Nutrients. 14(15). 3171–3171. 1 indexed citations

Sadik, May, Reza Kaboteh, Pablo Borrelli, et al.. (2019). Deep learning‐based quantification of PET/CT prostate gland uptake: association with overall survival. Clinical Physiology and Functional Imaging. 40(2). 106–113. 30 indexed citations

10.

Ohlsson, Mattias, et al.. (2018). Improving prediction of heart transplantation outcome using deep learning techniques. Scientific Reports. 8(1). 3613–3613. 52 indexed citations

11.

Bjartell, Anders, Mattias Ohlsson, Reza Kaboteh, et al.. (2014). Bone Scan Index as a prognostic imaging biomarker during androgen deprivation therapy. EJNMMI Research. 4(1). 58–58. 20 indexed citations

12.

Tajsharghi, Homa, Mattias Ohlsson, Lars Palm, & Anders Oldfors. (2012). Myopathies associated with β-tropomyosin mutations. Neuromuscular Disorders. 22(11). 923–933. 42 indexed citations

13.

Gjertsson, Peter, et al.. (2011). Clinical data do not improve artificial neural network interpretation of myocardial perfusion scintigraphy. Clinical Physiology and Functional Imaging. 31(3). 240–245. 1 indexed citations

14.

Sadik, May, et al.. (2008). Computer-Assisted Interpretation of Planar Whole-Body Bone Scans. Journal of Nuclear Medicine. 49(12). 1958–1965. 102 indexed citations

15.

Björk, Jonas, et al.. (2006). Comparison between neural networks and multiple logistic regression to predict acute coronary syndrome in the emergency room. Artificial Intelligence in Medicine. 38(3). 305–318. 101 indexed citations

16.

Ohlsson, Mattias, et al.. (1996). Agreement between Artificial Neural Networks and Human Expert for the Electrocardiographic Diagnosis of Healed Myocardial Infarction. 3 indexed citations

17.

Hedén, Bo, Mattias Ohlsson, Ralf Rittner, et al.. (1996). Agreement Between Artificial Neural Networks and Experienced Electrocardiographer on Electrocardiographic Diagnosis of Healed Myocardial Infarction11This study was supported by grants from the Swedish Medical Research Council (B95-14X-09893-04B), Stockholm; Swedish National Board for Industrial and Technical Development, Stockholm; the Faculty of Medicine at Lund University, Lund, Sweden; the Göran Gustafsson Foundation for Research in National Science and Medicine, Stockholm; and the Swedish Natural Science Research Council, Stockholm.. Journal of the American College of Cardiology. 28(4). 1012–1016. 28 indexed citations

18.

Ohlsson, Mattias, et al.. (1995). Artificial neural networks for recognition of electrocardiographic lead reversal. The American Journal of Cardiology. 75(14). 929–933. 49 indexed citations

19.

Ohlsson, Mattias, Carsten Peterson, Hong Pi, Thorsteinn Rögnvaldsson, & Bo Söderberg. (1994). Predicting System loads with Artificial Neural Networks : Method and Result from "the Great Energy Predictor Shootout". Lund University Publications (Lund University). 33 indexed citations

20.

Leonardsson, Göran, et al.. (1992). Gonadotropin Induced Trancient and Cell Specific Expression of Tissue-Type Plasminogen Activator and Plasminogenactivator Inhibitor Type 1 Leads to a Controlled and Directed Proteolysis During Ovulation. Fibrinolysis & proteolysis. 6. 151–155. 7 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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