Sheila Timp

552 total citations
8 papers, 368 citations indexed

About

Sheila Timp is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Oncology. According to data from OpenAlex, Sheila Timp has authored 8 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Oncology. Recurrent topics in Sheila Timp's work include AI in cancer detection (8 papers), Colorectal Cancer Screening and Detection (4 papers) and Image Retrieval and Classification Techniques (3 papers). Sheila Timp is often cited by papers focused on AI in cancer detection (8 papers), Colorectal Cancer Screening and Detection (4 papers) and Image Retrieval and Classification Techniques (3 papers). Sheila Timp collaborates with scholars based in Netherlands, Spain and United States. Sheila Timp's co-authors include Nico Karssemeijer, Celia Varela, Saskia van Engeland and Peter R. Snoeren and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Physics in Medicine and Biology and Medical Physics.

In The Last Decade

Sheila Timp

8 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sheila Timp Netherlands	7	324	189	185	62	60	8	368
Celia Varela Netherlands	7	254 0.8×	142 0.8×	139 0.8×	54 0.9×	45 0.8×	10	309
Maurice Samulski Netherlands	10	255 0.8×	94 0.5×	159 0.9×	27 0.4×	66 1.1×	12	303
Rob van de Loo Netherlands	5	297 0.9×	126 0.7×	212 1.1×	49 0.8×	35 0.6×	5	379
Zhaoxuan Ma United States	8	254 0.8×	84 0.4×	182 1.0×	64 1.0×	86 1.4×	9	377
Sue Astley United Kingdom	9	189 0.6×	99 0.5×	106 0.6×	68 1.1×	90 1.5×	29	313
Tianhao Zhao China	7	233 0.7×	94 0.5×	163 0.9×	56 0.9×	28 0.5×	13	349
Naga R. Mudigonda Canada	5	447 1.4×	337 1.8×	203 1.1×	38 0.6×	42 0.7×	6	533
Mart van Rijthoven Netherlands	7	231 0.7×	116 0.6×	169 0.9×	76 1.2×	21 0.3×	8	338
Maha Shady United States	5	354 1.1×	91 0.5×	270 1.5×	70 1.1×	36 0.6×	10	522
Sahirzeeshan Ali United States	10	259 0.8×	118 0.6×	183 1.0×	47 0.8×	76 1.3×	15	362

Countries citing papers authored by Sheila Timp

Since Specialization

Citations

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

Fields of papers citing papers by Sheila Timp

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheila Timp

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

All Works

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8 of 8 papers shown

1.

Timp, Sheila, Celia Varela, & Nico Karssemeijer. (2010). Computer-Aided Diagnosis With Temporal Analysis to Improve Radiologists’ Interpretation of Mammographic Mass Lesions. IEEE Transactions on Information Technology in Biomedicine. 14(3). 803–808. 24 indexed citations

2.

Timp, Sheila, Celia Varela, & Nico Karssemeijer. (2007). Temporal Change Analysis for Characterization of Mass Lesions in Mammography. IEEE Transactions on Medical Imaging. 26(7). 945–953. 56 indexed citations

3.

Engeland, Saskia van, Sheila Timp, & Nico Karssemeijer. (2006). Finding corresponding regions of interest in mediolateral oblique and craniocaudal mammographic views. Medical Physics. 33(9). 3203–3212. 44 indexed citations

4.

Varela, Celia, Sheila Timp, & Nico Karssemeijer. (2006). Use of border information in the classification of mammographic masses. Physics in Medicine and Biology. 51(2). 425–441. 64 indexed citations

5.

Timp, Sheila & Nico Karssemeijer. (2005). Interval change analysis to improve computer aided detection in mammography. Medical Image Analysis. 10(1). 82–95. 32 indexed citations

6.

Timp, Sheila, Saskia van Engeland, & Nico Karssemeijer. (2005). A regional registration method to find corresponding mass lesions in temporal mammogram pairs. Medical Physics. 32(8). 2629–2638. 18 indexed citations

7.

Engeland, Saskia van, Celia Varela, Sheila Timp, Peter R. Snoeren, & Nico Karssemeijer. (2005). Using context for mass detection and classification in mammograms. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5749. 94–94. 2 indexed citations

8.

Timp, Sheila & Nico Karssemeijer. (2004). A new 2D segmentation method based on dynamic programming applied to computer aided detection in mammography. Medical Physics. 31(5). 958–971. 128 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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