M. Pedevilla

425 total citations
10 papers, 330 citations indexed

About

M. Pedevilla is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, M. Pedevilla has authored 10 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Molecular Biology. Recurrent topics in M. Pedevilla's work include MRI in cancer diagnosis (3 papers), Natural Language Processing Techniques (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). M. Pedevilla is often cited by papers focused on MRI in cancer diagnosis (3 papers), Natural Language Processing Techniques (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). M. Pedevilla collaborates with scholars based in Austria. M. Pedevilla's co-authors include Michael Marberger, Martin Susani, Stephan Madersbacher, Christian Kratzik, Rudolf Stollberger, Paul Wach, Roland Bammer, F. F. Ebner, Stefan Ropele and Florian H. Ebner and has published in prestigious journals such as European Urology, BMC Medical Informatics and Decision Making and Studies in health technology and informatics.

In The Last Decade

M. Pedevilla

8 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Pedevilla Austria	4	165	160	88	57	54	10	330
F. Vernier France	5	270 1.6×	172 1.1×	154 1.8×	32 0.6×	82 1.5×	8	435
H.J. Kiel Germany	6	166 1.0×	221 1.4×	54 0.6×	72 1.3×	171 3.2×	8	411
Tetsuo Nozaki Japan	12	123 0.7×	105 0.7×	47 0.5×	29 0.5×	105 1.9×	37	326
Mathieu Burtnyk Canada	14	377 2.3×	254 1.6×	299 3.4×	100 1.8×	43 0.8×	32	582
P. Nevoux France	11	100 0.6×	451 2.8×	144 1.6×	30 0.5×	98 1.8×	22	548
H. Tonoli-Catez France	6	88 0.5×	327 2.0×	58 0.7×	68 1.2×	81 1.5×	6	414
Anthony B. Ross United States	9	312 1.9×	71 0.4×	278 3.2×	14 0.2×	18 0.3×	12	378
Wolfgang Tilly Germany	9	306 1.9×	84 0.5×	191 2.2×	9 0.2×	44 0.8×	12	413
G. Bozzini France	10	71 0.4×	214 1.3×	40 0.5×	87 1.5×	277 5.1×	17	423
Ivan Hoh United Kingdom	8	38 0.2×	193 1.2×	49 0.6×	44 0.8×	45 0.8×	13	287

Countries citing papers authored by M. Pedevilla

Since Specialization

Citations

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

Fields of papers citing papers by M. Pedevilla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Pedevilla

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

1.

Kreuzthaler, Markus, Bastian Pfeifer, Diether Kramer, et al.. (2019). EHR problem list clustering for improved topic-space navigation. BMC Medical Informatics and Decision Making. 19(S3). 72–72. 4 indexed citations

2.

Kreuzthaler, Markus, Bastian Pfeifer, Diether Kramer, et al.. (2018). EHR Text Categorization for Enhanced Patient-Based Document Navigation. Studies in health technology and informatics. 248. 100–107.

3.

Kreuzthaler, Markus, Bastian Pfeifer, Diether Kramer, et al.. (2018). Problem List Clustering for Improved Patient-Based Disease Perception. 88–89.

4.

Kratzik, Christian, et al.. (1998). Transcutaneous High-Intensity Focused Ultrasound and Irradiation: An Organ-Preserving Treatment of Cancer in a Solitary Testis. European Urology. 33(2). 195–201. 22 indexed citations

5.

Pedevilla, M., Rudolf Stollberger, Paul Wach, & F. F. Ebner. (1998). Influence of capillary blood flow and first pass effects on determination of tissue permeability. 1651–1651. 3 indexed citations

6.

Bammer, Roland, Rudolf Stollberger, Thomas C. Wascher, et al.. (1997). Automated tissue classification of extremities using knowledge-based segmentation of MR images.. 252–258. 2 indexed citations

7.

Pedevilla, M., Rudolf Stollberger, Roland Bammer, et al.. (1997). Improving the diagnostic reliability of dynamic MR-mammography - ROI vs. pixel-by-pixel evaluation.. 117–122. 2 indexed citations

8.

Stollberger, Rudolf, et al.. (1995). Definition of benign breast lesions with contrast enhanced 3D-imaging with high temporal resolution.. 1605–1605. 1 indexed citations

9.

Pedevilla, M., Rudolf Stollberger, Florian Schmidt, Paul Wach, & Florian H. Ebner. (1995). Comparison of various methods used for breast tumor characterization in Gd-DTPA enhanced MR-imaging.. 1600–1600. 1 indexed citations

10.

Madersbacher, Stephan, et al.. (1995). Effect of high-intensity focused ultrasound on human prostate cancer in vivo.. PubMed. 55(15). 3346–51. 295 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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