Suvranu De

8.4k total citations · 2 hit papers
268 papers, 6.4k citations indexed

About

Suvranu De is a scholar working on Surgery, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Suvranu De has authored 268 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Surgery, 74 papers in Biomedical Engineering and 47 papers in Computer Vision and Pattern Recognition. Recurrent topics in Suvranu De's work include Surgical Simulation and Training (104 papers), Anatomy and Medical Technology (39 papers) and Augmented Reality Applications (37 papers). Suvranu De is often cited by papers focused on Surgical Simulation and Training (104 papers), Anatomy and Medical Technology (39 papers) and Augmented Reality Applications (37 papers). Suvranu De collaborates with scholars based in United States, China and United Kingdom. Suvranu De's co-authors include Qing Peng, Wei Ji, Xiaodong Wen, Klaus‐Jürgen Bathe, A. Zamiri, Ganesh Sankaranarayanan, Yi-Je Lim, Steven D. Schwaitzberg, Chao Liang and Daniel B. Jones and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Suvranu De

255 papers receiving 6.2k 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.

Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences

2019 405 citations Mark Alber, Adrián Buganza Tepole et al. npj Digital Medicine profile →
Mechanical properties of the hexagonal boron nitride monolayer: Ab initio study

2012 378 citations Qing Peng, Wei Ji et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Suvranu De United States	39	2.8k	1.5k	1.1k	759	710	268	6.4k
Mauro Ferrari Italy	51	2.1k 0.8×	5.8k 3.9×	2.3k 2.0×	665 0.9×	535 0.8×	356	13.3k
Teik‐Cheng Lim Singapore	31	780 0.3×	2.1k 1.4×	225 0.2×	549 0.7×	770 1.1×	233	6.9k
Kenji Suzuki Japan	40	964 0.3×	1.4k 1.0×	247 0.2×	803 1.1×	267 0.4×	642	7.4k
Chien‐Chung Lin Taiwan	43	2.7k 1.0×	1.4k 1.0×	310 0.3×	3.3k 4.3×	309 0.4×	564	7.4k
Hongmei Zhang China	35	1.1k 0.4×	940 0.6×	136 0.1×	535 0.7×	227 0.3×	247	4.0k
Paul N. Smith Australia	40	1.3k 0.5×	932 0.6×	2.3k 2.0×	457 0.6×	87 0.1×	258	6.0k
Dimitrios I. Fotiadis Greece	47	400 0.1×	1.8k 1.2×	1.4k 1.3×	436 0.6×	545 0.8×	404	10.2k
Hideki Yamamoto Japan	37	2.2k 0.8×	628 0.4×	392 0.3×	1.1k 1.5×	275 0.4×	438	5.8k
K. Ogawa Japan	41	1.0k 0.4×	2.2k 1.5×	246 0.2×	1.6k 2.1×	317 0.4×	693	8.0k
Antonio Apicella Italy	59	605 0.2×	2.4k 1.6×	541 0.5×	347 0.5×	879 1.2×	313	10.0k

Countries citing papers authored by Suvranu De

Since Specialization

Citations

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

Fields of papers citing papers by Suvranu De

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suvranu De

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Halic, Tansel, et al.. (2024). Endoscopic sleeve gastroplasty: stomach location and task classification for evaluation using artificial intelligence. International Journal of Computer Assisted Radiology and Surgery. 19(4). 635–644. 3 indexed citations

Lee, Hanna, et al.. (2023). Cognitive Task Analysis of Escharotomy. Military Medicine. 188(Supplement_6). 255–261.

Schwaitzberg, Steven D., et al.. (2023). Changes in functional neuroimaging measures as novices gain proficiency on the fundamentals of laparoscopic surgery suturing task. Neurophotonics. 10(2). 23521–23521. 4 indexed citations

Lee, Sangrock, R. Rahul, James Lukan, et al.. (2021). A deep learning model for burn depth classification using ultrasound imaging. Journal of the mechanical behavior of biomedical materials. 125. 104930–104930. 12 indexed citations

Rahul, R., Uwe Krüger, Tianmeng Wang, et al.. (2019). Burn-related Collagen Conformational Changes in ex vivo Porcine Skin using Raman Spectroscopy. Scientific Reports. 9(1). 19138–19138. 23 indexed citations

Alber, Mark, Adrián Buganza Tepole, William R. Cannon, et al.. (2019). Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences. npj Digital Medicine. 2(1). 115–115. 405 indexed citations breakdown →

Ahn, Woo Jin, et al.. (2017). Virtual interactive suturing for the Fundamentals of Laparoscopic Surgery (FLS). Journal of Biomedical Informatics. 75. 48–62. 19 indexed citations

Liu, Guirong, et al.. (2016). A SPH Implementation with Ignition and Growth and Afterburning Models for Aluminized Explosives. International Journal of Computational Methods. 14(4). 1750046–1750046. 7 indexed citations

Olasky, Jaisa, Daniel B. Jones, Steven D. Schwaitzberg, et al.. (2016). OR fire virtual training simulator: design and face validity. Surgical Endoscopy. 31(9). 3527–3533. 40 indexed citations

10.

Awtrey, Christopher S., Amine Chellali, Steven D. Schwaitzberg, et al.. (2015). Validation of the VBLaST: A Virtual Peg Transfer Task in Gynecologic Surgeons. Journal of Minimally Invasive Gynecology. 22(7). 1271–1277. 9 indexed citations

11.

Sankaranarayanan, Ganesh, Baichun Li, Stephanie B. Jones, et al.. (2015). Face validation of the Virtual Electrosurgery Skill Trainer (VEST©). Surgical Endoscopy. 30(2). 730–738. 14 indexed citations

12.

Peng, Qing, Jared Crean, Liang Han, et al.. (2014). New materials graphyne, graphdiyne, graphone, and graphane: review of properties, synthesis, and application in nanotechnology. SHILAP Revista de lepidopterología. 7. 1–1. 259 indexed citations

13.

Peng, Qing, Chao Liang, Wei Ji, & Suvranu De. (2013). A Theoretical Analysis of the Effect of the Hydrogenation of Graphene to Graphane on Its Mechanical Properties. Bulletin of the American Physical Society. 2013.

14.

Sankaranarayanan, Ganesh, Henry Lin, Venkata S. Arikatla, et al.. (2010). Preliminary Face and Construct Validation Study of a Virtual Basic Laparoscopic Skill Trainer. Journal of Laparoendoscopic & Advanced Surgical Techniques. 20(2). 153–157. 24 indexed citations

15.

Maciel, Anderson, Ganesh Sankaranarayanan, Tansel Halic, et al.. (2010). Surgical model-view-controller simulation software framework for local and collaborative applications. International Journal of Computer Assisted Radiology and Surgery. 6(4). 457–471. 9 indexed citations

16.

Prajapati, PK, et al.. (2007). A comparative Pharmaceutico - Pharmaco - Clinical Study of Lauha Bhasma and Mandura Bhasma w. s. r. to its Panduhara Effect. 28(1). 11. 6 indexed citations

17.

Weidemann, Frank, Faizi Jamal, Tomasz Kukulski, et al.. (2001). Can ultrasonic strain rate imaging quantify the changes in systolic function during dobutamine infusion, b-blockade and atrial pacing? an experimental study. Journal of the American College of Cardiology. 37. 1 indexed citations

18.

Claus, Piet, Bart Bijnens, Frank Weidemann, et al.. (2001). Underlying mechanism of post-systolic thickening is this active contraction or a passive event? a one-dimensional mathematical model. European Heart Journal - Cardiovascular Imaging. 2. 1 indexed citations

19.

De, Suvranu, et al.. (1999). Impact of surface electrochemical polishing on stent performance: insights from a porcine coronary model. European Heart Journal. 20. 273–273. 1 indexed citations

20.

De, Suvranu, et al.. (1978). Sero-epidemiological evidence of Coxiella burnetii infection among selected human population in Calcutta.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 68. 911–6. 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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