Michael Kam

471 total citations · 1 hit paper
13 papers, 274 citations indexed

About

Michael Kam is a scholar working on Biomedical Engineering, Surgery and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael Kam has authored 13 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomedical Engineering, 8 papers in Surgery and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael Kam's work include Surgical Simulation and Training (8 papers), Soft Robotics and Applications (7 papers) and Augmented Reality Applications (5 papers). Michael Kam is often cited by papers focused on Surgical Simulation and Training (8 papers), Soft Robotics and Applications (7 papers) and Augmented Reality Applications (5 papers). Michael Kam collaborates with scholars based in United States and India. Michael Kam's co-authors include Axel Krieger, Hamed Saeidi, Justin D. Opfermann, Simon Léonard, Michael H. Hsieh, Jeeun Kang, Shuwen Wei, Jin U. Kang, Thorsten Fleiter and Arjun S. Joshi and has published in prestigious journals such as Science Robotics, IEEE Robotics and Automation Letters and Lecture notes in computer science.

In The Last Decade

Michael Kam

13 papers receiving 264 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.

Autonomous robotic laparoscopic surgery for intestinal anastomosis

2022 183 citations Hamed Saeidi, Justin D. Opfermann et al. Science Robotics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Kam United States	6	162	137	48	41	33	13	274
Anand Malpani United States	10	146 0.9×	228 1.7×	26 0.5×	50 1.2×	21 0.6×	17	292
Cristians González France	7	122 0.8×	168 1.2×	27 0.6×	52 1.3×	19 0.6×	14	293
Yuta Hiasa Japan	9	119 0.7×	111 0.8×	19 0.4×	71 1.7×	79 2.4×	15	282
Aleks Attanasio United Kingdom	4	196 1.2×	106 0.8×	24 0.5×	65 1.6×	12 0.4×	5	274
Prateek Mathur Canada	7	115 0.7×	55 0.4×	82 1.7×	66 1.6×	109 3.3×	11	300
Robert B. Grupp United States	9	189 1.2×	119 0.9×	14 0.3×	70 1.7×	57 1.7×	21	311
Arnaud Huaulmé France	9	109 0.7×	190 1.4×	20 0.4×	58 1.4×	9 0.3×	26	255
Song Xu China	8	104 0.6×	141 1.0×	10 0.2×	67 1.6×	15 0.5×	14	271
Michele Tonutti United Kingdom	4	71 0.4×	56 0.4×	20 0.4×	37 0.9×	15 0.5×	4	175
Marco Esposito Germany	10	190 1.2×	128 0.9×	11 0.2×	73 1.8×	57 1.7×	14	318

Countries citing papers authored by Michael Kam

Since Specialization

Citations

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

Fields of papers citing papers by Michael Kam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Kam

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

All Works

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13 of 13 papers shown

1.

Wang, Yaning, Shuwen Wei, Michael Kam, et al.. (2024). Automatic and real-time tissue sensing for autonomous intestinal anastomosis using hybrid MLP-DC-CNN classifier-based optical coherence tomography. Biomedical Optics Express. 15(4). 2543–2543. 2 indexed citations

2.

Wei, Shuwen, Yaning Wang, Michael Kam, et al.. (2024). Deep learning-based single-shot fringe projection profilometry. 2018. 14–14. 1 indexed citations

3.

Kam, Michael, Shuwen Wei, Justin D. Opfermann, et al.. (2023). Autonomous System for Vaginal Cuff Closure via Model-Based Planning and Markerless Tracking Techniques. IEEE Robotics and Automation Letters. 8(7). 3916–3923. 3 indexed citations

4.

Kam, Michael, Justin D. Opfermann, Hamed Saeidi, et al.. (2023). Autonomous System for Tumor Resection (ASTR) - Dual-Arm Robotic Midline Partial Glossectomy. IEEE Robotics and Automation Letters. 9(2). 1166–1173. 5 indexed citations

5.

Saeidi, Hamed, Justin D. Opfermann, Michael Kam, et al.. (2022). Autonomous robotic laparoscopic surgery for intestinal anastomosis. Science Robotics. 7(62). eabj2908–eabj2908. 183 indexed citations breakdown →

6.

Wang, Yaning, Shuwen Wei, Justin D. Opfermann, et al.. (2022). Automated OCT A-line abdominal tissue classification using a hybrid MLP-CNN classifier during ventral hernia repair. 5. 16–16. 2 indexed citations

7.

Kam, Michael, Hamed Saeidi, Michael H. Hsieh, Jeeun Kang, & Axel Krieger. (2021). A Confidence-Based Supervised-Autonomous Control Strategy for Robotic Vaginal Cuff Closure. PubMed. 2021. 12261–12267. 4 indexed citations

8.

Saeidi, Hamed, Michael Kam, Justin D. Opfermann, et al.. (2019). Supervised Autonomous Electrosurgery via Biocompatible Near-Infrared Tissue Tracking Techniques. IEEE Transactions on Medical Robotics and Bionics. 1(4). 228–236. 17 indexed citations

9.

Kam, Michael, Hamed Saeidi, Shuwen Wei, et al.. (2019). Semi-autonomous Robotic Anastomoses of Vaginal Cuffs Using Marker Enhanced 3D Imaging and Path Planning. Lecture notes in computer science. 11768. 65–73. 8 indexed citations

10.

Kam, Michael, et al.. (2019). A Semi-Autonomous Robotic System for Remote Trauma Assessment. 649–656. 12 indexed citations

11.

Opfermann, Justin D., Michael Kam, Hamed Saeidi, et al.. (2018). Semi-Autonomous Laparoscopic Robotic Electro-Surgery with a Novel 3D Endoscope. PubMed. 9494. 6637–6644. 12 indexed citations

12.

Saeidi, Hamed, et al.. (2018). A Confidence-Based Shared Control Strategy for the Smart Tissue Autonomous Robot (STAR). PubMed. 2018. 1268–1275. 24 indexed citations

13.

Opfermann, Justin D., Michael Kam, Hamed Saeidi, et al.. (2018). Semi-Autonomous Laparoscopic Robotic Electro-Surgery with a Novel 3D Endoscope * Research reported in this paper was supported by National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health under award numbers 1R01EB020610 and R21EB024707. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.. 6637–6644. 1 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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