Nicholas Konz

1.0k total citations · 1 hit paper
11 papers, 474 citations indexed

About

Nicholas Konz is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Nicholas Konz has authored 11 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Nicholas Konz's work include AI in cancer detection (5 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Medical Image Segmentation Techniques (2 papers). Nicholas Konz is often cited by papers focused on AI in cancer detection (5 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Medical Image Segmentation Techniques (2 papers). Nicholas Konz collaborates with scholars based in United States and China. Nicholas Konz's co-authors include Maciej A. Mazurowski, Haoyu Dong, Hanxue Gu, Yixin Zhang, Jichen Yang, Zhang Li, Longfei Zhou, Mateusz Buda, James S. Duncan and Jonathan H. Tu and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Medical Imaging and Medical Image Analysis.

In The Last Decade

Nicholas Konz

8 papers receiving 461 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.

Segment anything model for medical image analysis: An experimental study

2023 342 citations Maciej A. Mazurowski, Haoyu Dong et al. Medical Image Analysis profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicholas Konz United States	5	180	135	120	53	51	11	474
Van-Truong Pham Vietnam	14	233 1.3×	87 0.6×	106 0.9×	63 1.2×	29 0.6×	61	684
Dhirendra Prasad Yadav India	11	145 0.8×	151 1.1×	155 1.3×	105 2.0×	22 0.4×	53	635
M. Alper Selver Türkiye	12	232 1.3×	117 0.9×	92 0.8×	61 1.2×	82 1.6×	64	479
Ryo Takahashi Japan	7	220 1.2×	94 0.7×	176 1.5×	84 1.6×	20 0.4×	22	534
Geraldo L. B. Ramalho Brazil	11	149 0.8×	155 1.1×	65 0.5×	26 0.5×	34 0.7×	25	462
Kun Zheng China	14	166 0.9×	172 1.3×	53 0.4×	104 2.0×	77 1.5×	51	594
Yinan Chen China	9	314 1.7×	145 1.1×	170 1.4×	94 1.8×	33 0.6×	28	602
P. Sathyanarayana Canada	5	180 1.0×	79 0.6×	159 1.3×	34 0.6×	34 0.7×	11	565
Zhicheng Ma China	9	160 0.9×	76 0.6×	143 1.2×	36 0.7×	14 0.3×	69	514

Countries citing papers authored by Nicholas Konz

Since Specialization

Citations

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

Fields of papers citing papers by Nicholas Konz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Konz

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

All Works

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11 of 11 papers shown

1.

Chen, Yaqian, et al.. (2025). Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2. IEEE Transactions on Medical Imaging. PP. 1–1.

2.

Konz, Nicholas, Hanxue Gu, Haoyu Dong, et al.. (2025). ContourDiff: Unpaired Medical Image Translation with Structural Consistency. 3(November 2025). 711–727. 1 indexed citations

3.

Dong, Haoyu, Nicholas Konz, Hanxue Gu, & Maciej A. Mazurowski. (2024). Medical Image Segmentation with InTEnt: Integrated Entropy Weighting for Single Image Test-Time Adaptation. 5046–5055.

4.

Konz, Nicholas, Haoyu Dong, & Maciej A. Mazurowski. (2023). Unsupervised anomaly localization in high-resolution breast scans using deep pluralistic image completion. Medical Image Analysis. 87. 102836–102836. 2 indexed citations

5.

Dong, Haoyu, et al.. (2023). SWSSL: Sliding Window-Based Self-Supervised Learning for Anomaly Detection in High-Resolution Images. IEEE Transactions on Medical Imaging. 42(12). 3860–3870. 7 indexed citations

6.

Konz, Nicholas, et al.. (2023). Understanding the Inner-workings of Language Models Through Representation Dissimilarity. 6543–6558. 1 indexed citations

7.

Mazurowski, Maciej A., Haoyu Dong, Hanxue Gu, et al.. (2023). Segment anything model for medical image analysis: An experimental study. Medical Image Analysis. 89. 102918–102918. 342 indexed citations breakdown →

8.

Konz, Nicholas, et al.. (2022). Deep Learning for Breast MRI Style Transfer with Limited Training Data. Journal of Digital Imaging. 36(2). 666–678. 6 indexed citations

9.

Zhou, Longfei, Zhang Li, & Nicholas Konz. (2022). Computer Vision Techniques in Manufacturing. IEEE Transactions on Systems Man and Cybernetics Systems. 53(1). 105–117. 99 indexed citations

10.

Konz, Nicholas, et al.. (2021). A generative adversarial network-based abnormality detection using only normal images for model training with application to digital breast tomosynthesis. Scientific Reports. 11(1). 10276–10276. 14 indexed citations

11.

Konz, Nicholas, et al.. (2018). Amplitude, frequency, and timbre with the French horn. Physics Education. 53(4). 45004–45004. 2 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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