N.E. Hodge

2.9k total citations · 1 hit paper
18 papers, 1.9k citations indexed

About

N.E. Hodge is a scholar working on Mechanical Engineering, Automotive Engineering and Materials Chemistry. According to data from OpenAlex, N.E. Hodge has authored 18 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Mechanical Engineering, 9 papers in Automotive Engineering and 4 papers in Materials Chemistry. Recurrent topics in N.E. Hodge's work include Additive Manufacturing Materials and Processes (12 papers), Additive Manufacturing and 3D Printing Technologies (7 papers) and Welding Techniques and Residual Stresses (4 papers). N.E. Hodge is often cited by papers focused on Additive Manufacturing Materials and Processes (12 papers), Additive Manufacturing and 3D Printing Technologies (7 papers) and Welding Techniques and Residual Stresses (4 papers). N.E. Hodge collaborates with scholars based in United States and Germany. N.E. Hodge's co-authors include Robert M. Ferencz, Wayne E. King, Saad A. Khairallah, Chandrika Kamath, Alexander M. Rubenchik, Jerome Solberg, Rishi Ganeriwala, Ryan Vignes, Lyle E. Levine and Thien Q. Phan and has published in prestigious journals such as Additive manufacturing, Materials Letters and International Journal of Engineering Science.

In The Last Decade

N.E. Hodge

18 papers receiving 1.8k citations

Hit Papers

Laser powder bed fusion additive manufacturing of metals;... 2015 2026 2018 2022 2015 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N.E. Hodge United States 12 1.7k 1.2k 295 247 227 18 1.9k
Matthias Markl Germany 19 1.4k 0.8× 943 0.8× 186 0.6× 326 1.3× 241 1.1× 60 1.6k
Stephen Lin United States 16 1.5k 0.9× 994 0.8× 229 0.8× 273 1.1× 303 1.3× 22 1.8k
Sarah J. Wolff United States 20 1.5k 0.9× 908 0.7× 301 1.0× 239 1.0× 139 0.6× 43 1.7k
Panagiotis Michaleris United States 15 1.4k 0.8× 844 0.7× 247 0.8× 109 0.4× 176 0.8× 22 1.7k
Jarred C. Heigel United States 22 2.3k 1.4× 1.4k 1.1× 321 1.1× 362 1.5× 208 0.9× 46 2.5k
Gerry Knapp United States 12 1.1k 0.7× 709 0.6× 275 0.9× 169 0.7× 68 0.3× 28 1.4k
Wenjun Ge China 14 1.0k 0.6× 685 0.6× 102 0.3× 171 0.7× 158 0.7× 33 1.2k
Orion L. Kafka United States 18 1.1k 0.7× 647 0.5× 184 0.6× 300 1.2× 132 0.6× 43 1.6k
Matthias Hirsch United Kingdom 10 1.3k 0.8× 815 0.7× 288 1.0× 95 0.4× 177 0.8× 15 1.5k
Jinqiang Ning United States 21 1.1k 0.7× 596 0.5× 130 0.4× 170 0.7× 123 0.5× 36 1.2k

Countries citing papers authored by N.E. Hodge

Since Specialization
Citations

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

Fields of papers citing papers by N.E. Hodge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N.E. Hodge. 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 N.E. Hodge. The network helps show where N.E. Hodge may publish in the future.

Co-authorship network of co-authors of N.E. Hodge

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

All Works

18 of 18 papers shown
1.
Puso, M & N.E. Hodge. (2023). An assessment of the utility of multirate time integration for the modeling of laser powder bed fusion. Additive manufacturing. 73. 103657–103657. 8 indexed citations
2.
Turner, John, James Belak, Nathan R. Barton, et al.. (2022). ExaAM: Metal additive manufacturing simulation at the fidelity of the microstructure. The International Journal of High Performance Computing Applications. 36(1). 13–39. 29 indexed citations
3.
4.
Patil, Nachiket, Rishi Ganeriwala, Jerome Solberg, N.E. Hodge, & Robert M. Ferencz. (2021). Benchmark multi-layer simulations for residual stresses and deformation in small additively manufactured metal parts. Additive manufacturing. 45. 102015–102015. 19 indexed citations
5.
Hodge, N.E.. (2020). Towards improved speed and accuracy of laser powder bed fusion simulations via representation of multiple time scales. Additive manufacturing. 37. 101600–101600. 18 indexed citations
6.
Ganeriwala, Rishi, N.E. Hodge, & Jerome Solberg. (2020). Towards improved speed and accuracy of laser powder bed fusion simulations via multiscale spatial representations. Computational Materials Science. 187. 110112–110112. 31 indexed citations
7.
Ganeriwala, Rishi, Maria Strantza, Wayne E. King, et al.. (2019). Evaluation of a thermomechanical model for prediction of residual stress during laser powder bed fusion of Ti-6Al-4V. Additive manufacturing. 27. 489–502. 153 indexed citations
8.
Strantza, Maria, Rishi Ganeriwala, B. Clausen, et al.. (2018). Coupled experimental and computational study of residual stresses in additively manufactured Ti-6Al-4V components. Materials Letters. 231. 221–224. 63 indexed citations
9.
Hodge, N.E., Robert M. Ferencz, & Ryan Vignes. (2016). Experimental comparison of residual stresses for a thermomechanical model for the simulation of selective laser melting. Additive manufacturing. 12. 159–168. 121 indexed citations
10.
King, Wayne E., Robert M. Ferencz, N.E. Hodge, et al.. (2015). Laser powder bed fusion additive manufacturing of metals; physics, computational, and materials challenges. Applied Physics Reviews. 2(4). 41304–41304. 888 indexed citations breakdown →
11.
Hodge, N.E., Robert M. Ferencz, & Jerome Solberg. (2014). Implementation of a thermomechanical model for the simulation of selective laser melting. Computational Mechanics. 54(1). 33–51. 253 indexed citations
12.
King, Wayne E., et al.. (2014). Overview of modelling and simulation of metal powder bed fusion process at Lawrence Livermore National Laboratory. Materials Science and Technology. 31(8). 957–968. 231 indexed citations
13.
Hodge, N.E. & Panayiotis Papadopoulos. (2011). Continuum modeling and numerical simulation of cell motility. Journal of Mathematical Biology. 64(7). 1253–1279. 9 indexed citations
14.
Hodge, N.E. & Panayiotis Papadopoulos. (2010). A continuum theory of surface growth. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 466(2123). 3135–3152. 13 indexed citations
15.
Papadopoulos, Panayiotis & N.E. Hodge. (2010). On surface growth of actin networks. International Journal of Engineering Science. 48(11). 1498–1506. 5 indexed citations
16.
Hodge, N.E., et al.. (2004). A distributed fuzzy logic controller for an autonomous vehicle. Journal of Robotic Systems. 21(10). 499–516. 6 indexed citations
17.
Hodge, N.E. & Mohamed B. Trabia. (2003). Steering fuzzy logic controller for an autonomous vehicle. 3. 2482–2488. 10 indexed citations
18.
Hodge, N.E., Liwei Shi, & Mohamed B. Trabia. (1999). Speed Fuzzy Logic Control for an Autonomous Vehicle. Dynamic Systems and Control. 67. 477–485. 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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