Nir Trabelsi

1.0k total citations
25 papers, 853 citations indexed

About

Nir Trabelsi is a scholar working on Surgery, Biomedical Engineering and Epidemiology. According to data from OpenAlex, Nir Trabelsi has authored 25 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 8 papers in Biomedical Engineering and 5 papers in Epidemiology. Recurrent topics in Nir Trabelsi's work include Orthopaedic implants and arthroplasty (11 papers), Hip disorders and treatments (7 papers) and Elasticity and Material Modeling (6 papers). Nir Trabelsi is often cited by papers focused on Orthopaedic implants and arthroplasty (11 papers), Hip disorders and treatments (7 papers) and Elasticity and Material Modeling (6 papers). Nir Trabelsi collaborates with scholars based in Israel, Germany and United States. Nir Trabelsi's co-authors include Zohar Yosibash, Charles Milgrom, Christof Wutte, Sebastian Eberle, Peter Augat, E. Rank, Martin Ruess, Amir Sternheim, Yair Gortzak and Gail Amir and has published in prestigious journals such as Blood, Journal of Bone and Mineral Research and Journal of Biomechanics.

In The Last Decade

Nir Trabelsi

25 papers receiving 822 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nir Trabelsi Israel 15 560 257 206 180 133 25 853
Yunhua Luo Canada 19 469 0.8× 353 1.4× 81 0.4× 138 0.8× 188 1.4× 84 968
Lorenzo Grassi Sweden 17 613 1.1× 437 1.7× 167 0.8× 229 1.3× 45 0.3× 33 890
Alfredo Lamberti Belgium 20 562 1.0× 363 1.4× 115 0.6× 128 0.7× 68 0.5× 44 1.2k
Stephen A Rossi United States 6 708 1.3× 467 1.8× 155 0.8× 197 1.1× 45 0.3× 7 935
Se-Hyun Cho South Korea 14 603 1.1× 146 0.6× 83 0.4× 189 1.1× 72 0.5× 54 1.1k
Marco Palanca Italy 17 426 0.8× 194 0.8× 69 0.3× 432 2.4× 55 0.4× 41 960
L. Rakotomanana Switzerland 16 777 1.4× 324 1.3× 164 0.8× 631 3.5× 163 1.2× 36 1.3k
José Manuel García Spain 8 402 0.7× 165 0.6× 132 0.6× 278 1.5× 99 0.7× 14 704
R. Paul Crawford United States 6 548 1.0× 606 2.4× 101 0.5× 373 2.1× 90 0.7× 6 1.0k
Yan Chevalier Germany 22 942 1.7× 460 1.8× 187 0.9× 313 1.7× 64 0.5× 47 1.3k

Countries citing papers authored by Nir Trabelsi

Since Specialization
Citations

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

Fields of papers citing papers by Nir Trabelsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nir Trabelsi

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

All Works

20 of 20 papers shown
1.
Trabia, Mohamed B., et al.. (2022). An approach for simultaneous reduction and fixation of mandibular fractures. Computer Methods in Biomechanics & Biomedical Engineering. 26(9). 1064–1076. 1 indexed citations
2.
3.
Schermann, Haggai, et al.. (2021). Assessing hip fracture risk in type-2 diabetic patients using CT-based autonomous finite element methods. The Bone & Joint Journal. 103-B(9). 1497–1504. 5 indexed citations
4.
Schermann, Haggai, Yair Gortzak, Yehuda Kollender, et al.. (2020). Patient-specific computed tomography-based finite element analysis: a new tool to assess fracture risk in benign bone lesions of the femur. Clinical Biomechanics. 80. 105155–105155. 6 indexed citations
5.
Yosibash, Zohar, et al.. (2020). Autonomous FEs (AFE) - A stride toward personalized medicine. Computers & Mathematics with Applications. 80(11). 2417–2432. 17 indexed citations
6.
Yosibash, Zohar, Nir Trabelsi, Moshe Salai, et al.. (2020). Hip Fracture Risk Assessment in Elderly and Diabetic Patients: Combining Autonomous Finite Element Analysis and Machine Learning. Journal of Bone and Mineral Research. 38(6). 876–886. 15 indexed citations
7.
Trabelsi, Nir, et al.. (2019). Finite element analyses for predicting anatomical neck fractures in the proximal humerus. Clinical Biomechanics. 68. 114–121. 13 indexed citations
8.
Priel, E., et al.. (2018). A computational investigation of Equal Channel Angular Pressing of molybdenum validated by experiments. Journal of Materials Processing Technology. 264. 469–485. 14 indexed citations
9.
Sternheim, Amir, Yair Gortzak, Michael Drexler, et al.. (2018). Pathological fracture risk assessment in patients with femoral metastases using CT-based finite element methods. A retrospective clinical study. Bone. 110. 215–220. 63 indexed citations
10.
11.
Trabelsi, Nir, et al.. (2016). Verified and validated finite element analyses of humeri. Journal of Biomechanics. 49(7). 1094–1102. 26 indexed citations
12.
Yosibash, Zohar, et al.. (2014). Predicting the stiffness and strength of human femurs with real metastatic tumors. Bone. 69. 180–190. 57 indexed citations
13.
Trabelsi, Nir, Charles Milgrom, & Zohar Yosibash. (2013). Patient-specific FE analyses of metatarsal bones with inhomogeneous isotropic material properties. Journal of the mechanical behavior of biomedical materials. 29. 177–189. 24 indexed citations
14.
Trabelsi, Nir, Zohar Yosibash, Christof Wutte, Peter Augat, & Sebastian Eberle. (2011). Patient-specific finite element analysis of the human femur—A double-blinded biomechanical validation. Journal of Biomechanics. 44(9). 1666–1672. 105 indexed citations
15.
Ruess, Martin, et al.. (2011). The finite cell method for bone simulations: verification and validation. Biomechanics and Modeling in Mechanobiology. 11(3-4). 425–437. 95 indexed citations
16.
Ruess, Martin, Zohar Yosibash, Nir Trabelsi, & E. Rank. (2011). Application of the Finite Cell Method to patient‐specific femur simulations. PAMM. 11(1). 117–118. 2 indexed citations
17.
Yosibash, Zohar, et al.. (2010). Predicting the yield of the proximal femur using high-order finite-element analysis with inhomogeneous orthotropic material properties. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 368(1920). 2707–2723. 74 indexed citations
18.
Trabelsi, Nir, Zohar Yosibash, & Charles Milgrom. (2009). Validation of subject-specific automated p-FE analysis of the proximal femur. Journal of Biomechanics. 42(3). 234–241. 74 indexed citations
19.
Yosibash, Zohar, Nir Trabelsi, & Christian Hellmich. (2008). Subject-Specific p-FE Analysis of the Proximal Femur Utilizing Micromechanics-Based Material Properties. International Journal for Multiscale Computational Engineering. 6(5). 483–498. 26 indexed citations
20.
Yosibash, Zohar, Nir Trabelsi, & Charles Milgrom. (2007). Reliable simulations of the human proximal femur by high-order finite element analysis validated by experimental observations. Journal of Biomechanics. 40(16). 3688–3699. 143 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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