Jesper Molin

820 total citations
18 papers, 318 citations indexed

About

Jesper Molin is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Biophysics. According to data from OpenAlex, Jesper Molin has authored 18 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Biophysics. Recurrent topics in Jesper Molin's work include AI in cancer detection (11 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Cell Image Analysis Techniques (4 papers). Jesper Molin is often cited by papers focused on AI in cancer detection (11 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Cell Image Analysis Techniques (4 papers). Jesper Molin collaborates with scholars based in Sweden, Germany and United Kingdom. Jesper Molin's co-authors include Claes Lundström, Sten Thorstenson, Horst K. Hahn, Anders Heyden, Kalle Åström, André Homeyer, Morten Fjeld, Nick Weiss, Jonas Löwgren and Darren Treanor and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Visualization and Computer Graphics and Histopathology.

In The Last Decade

Jesper Molin

15 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jesper Molin Sweden	8	242	123	68	63	40	18	318
Christine England United States	5	270 1.1×	134 1.1×	50 0.7×	55 0.9×	75 1.9×	5	340
Lorraine Corsale United States	6	237 1.0×	124 1.0×	47 0.7×	49 0.8×	64 1.6×	6	301
Ankush Patel United States	8	181 0.7×	120 1.0×	34 0.5×	35 0.6×	29 0.7×	19	324
Nick Weiss Germany	10	176 0.7×	151 1.2×	104 1.5×	53 0.8×	49 1.2×	16	353
Emmanuel Agosto‐Arroyo United States	5	207 0.9×	148 1.2×	47 0.7×	51 0.8×	81 2.0×	11	327
Hammad Qureshi Pakistan	8	167 0.7×	107 0.9×	83 1.2×	34 0.5×	39 1.0×	24	321
Brandon Ginley United States	8	195 0.8×	86 0.7×	102 1.5×	31 0.5×	52 1.3×	27	354
M. Milagro Fernández-Carrobles Spain	11	206 0.9×	86 0.7×	122 1.8×	69 1.1×	52 1.3×	18	315
Jim Diamond United Kingdom	7	162 0.7×	103 0.8×	56 0.8×	38 0.6×	66 1.6×	9	292
Kevin Faust Canada	8	172 0.7×	164 1.3×	50 0.7×	31 0.5×	32 0.8×	12	380

Countries citing papers authored by Jesper Molin

Since Specialization

Citations

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

Fields of papers citing papers by Jesper Molin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jesper Molin

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

All Works

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18 of 18 papers shown

Molin, Jesper, et al.. (2024). Visualization for Diagnostic Review of Copy Number Variants in Complex DNA Sequencing Data. IEEE Transactions on Visualization and Computer Graphics. 31(4). 2211–2222.

Molin, Jesper, et al.. (2024). Should I make it round? Suitability of circular and linear layouts for comparative tasks with matrix and connective data. Computer Graphics Forum. 43(3). 1 indexed citations

Molin, Jesper, et al.. (2023). The thorny complexities of visualization research for clinical settings: A case study from genomics. SHILAP Revista de lepidopterología. 3. 1112649–1112649. 1 indexed citations

Molin, Jesper, et al.. (2021). The human‐in‐the‐loop: an evaluation of pathologists’ interaction with artificial intelligence in clinical practice. Histopathology. 79(2). 210–218. 20 indexed citations

Molin, Jesper, et al.. (2021). Combatting out-of-distribution errors using model-agnostic meta-learning for digital pathology. KTH Publication Database DiVA (KTH Royal Institute of Technology). 25–25. 2 indexed citations

Molin, Jesper, et al.. (2020). Verification Staircase: a Design Strategy for Actionable Explanations.. 2582. 1 indexed citations

Molin, Jesper, et al.. (2018). The Importance of UX for Machine Teaching.. National Conference on Artificial Intelligence. 1 indexed citations

Homeyer, André, et al.. (2018). Deep learning nuclei detection: A simple approach can deliver state-of-the-art results. Computerized Medical Imaging and Graphics. 70. 43–52. 49 indexed citations

Molin, Jesper, et al.. (2018). From machine learning to machine teaching. interactions. 25(6). 52–57. 15 indexed citations

10.

Homeyer, André, et al.. (2017). Training Nuclei Detection Algorithms with Simple Annotations. Journal of Pathology Informatics. 8(1). 21–21. 7 indexed citations

11.

Molin, Jesper, Paweł W. Woźniak, Claes Lundström, Darren Treanor, & Morten Fjeld. (2016). Understanding Design for Automated Image Analysis in Digital Pathology. Chalmers Research (Chalmers University of Technology). 1–10. 7 indexed citations

12.

Molin, Jesper, et al.. (2016). Improving the creation and reporting of structured findings during digital pathology review. Journal of Pathology Informatics. 7(1). 32–32. 4 indexed citations

13.

Molin, Jesper. (2016). Diagnostic Review with Digital Pathology: Design of digitals tools for routine diagnostic use. Chalmers Publication Library (Chalmers University of Technology). 1 indexed citations

14.

Molin, Jesper, et al.. (2016). Towards grading gleason score using generically trained deep convolutional neural networks. Lund University Publications (Lund University). 1163–1167. 52 indexed citations

15.

Molin, Jesper, Claes Lundström, & Morten Fjeld. (2015). A comparative study of input devices for digital slide navigation. Journal of Pathology Informatics. 6(1). 7–7. 19 indexed citations

16.

Thorstenson, Sten, Jesper Molin, & Claes Lundström. (2014). Implementation of large-scale routine diagnostics using whole slide imaging in Sweden: Digital pathology experiences 2006-2013. SHILAP Revista de lepidopterología. 5(1). 14–14. 124 indexed citations

17.

Molin, Jesper, Morten Fjeld, Claudia Mello‐Thoms, & Claes Lundström. (2014). Slide navigation patterns among pathologists with long experience of digital review. Histopathology. 67(2). 185–192. 10 indexed citations

18.

Molin, Jesper, et al.. (2014). Feature-enhancing zoom to facilitate Ki-67 hot spot detection. Chalmers Research (Chalmers University of Technology). 9041. 90410W–90410W. 4 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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