Anne L. Marsan

593 total citations
12 papers, 447 citations indexed

About

Anne L. Marsan is a scholar working on Industrial and Manufacturing Engineering, Computational Mechanics and Automotive Engineering. According to data from OpenAlex, Anne L. Marsan has authored 12 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Industrial and Manufacturing Engineering, 5 papers in Computational Mechanics and 4 papers in Automotive Engineering. Recurrent topics in Anne L. Marsan's work include Manufacturing Process and Optimization (8 papers), Additive Manufacturing and 3D Printing Technologies (4 papers) and Advanced Numerical Analysis Techniques (3 papers). Anne L. Marsan is often cited by papers focused on Manufacturing Process and Optimization (8 papers), Additive Manufacturing and 3D Printing Technologies (4 papers) and Advanced Numerical Analysis Techniques (3 papers). Anne L. Marsan collaborates with scholars based in United States. Anne L. Marsan's co-authors include Debasish Dutta, Prashant Kulkarni, Deba Dutta, Michael J. Pratt, Vinod Kumar, Paul Stewart, Pietro Buttolo, Scott J. Hollister, Yifan Chen and Robert E. Guldberg and has published in prestigious journals such as Journal of Mechanical Design, Rapid Prototyping Journal and Computers & Graphics.

In The Last Decade

Anne L. Marsan

11 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anne L. Marsan United States	8	326	275	178	83	69	12	447
Xue Yan China	3	274 0.8×	170 0.6×	134 0.8×	52 0.6×	45 0.7×	12	431
Prashant Kulkarni United States	7	536 1.6×	431 1.6×	302 1.7×	120 1.4×	82 1.2×	13	661
Ratnadeep Paul United States	10	560 1.7×	404 1.5×	441 2.5×	59 0.7×	65 0.9×	17	673
Kevin K. Jurrens United States	8	295 0.9×	274 1.0×	230 1.3×	41 0.5×	46 0.7×	16	420
Lufeng Chen China	12	217 0.7×	200 0.7×	264 1.5×	138 1.7×	71 1.0×	26	488
H.T. Loh Singapore	11	151 0.5×	167 0.6×	262 1.5×	169 2.0×	10 0.1×	15	504
X.Y. Kou Hong Kong	10	204 0.6×	148 0.5×	140 0.8×	146 1.8×	115 1.7×	23	521
Wenfeng Gan China	12	159 0.5×	209 0.8×	284 1.6×	245 3.0×	55 0.8×	16	461
Oleg Fryazinov United Kingdom	10	120 0.4×	55 0.2×	89 0.5×	134 1.6×	44 0.6×	43	341
Yeo Jung Yoon United States	8	207 0.6×	256 0.9×	164 0.9×	49 0.6×	105 1.5×	13	490

Countries citing papers authored by Anne L. Marsan

Since Specialization

Citations

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

Fields of papers citing papers by Anne L. Marsan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne L. Marsan. 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 Anne L. Marsan. The network helps show where Anne L. Marsan may publish in the future.

Co-authorship network of co-authors of Anne L. Marsan

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

All Works

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12 of 12 papers shown

1.

Marsan, Anne L.. (2018). An Integrated Software System for Process Planning for Layered Manufacturing. Texas ScholarWorks (Texas Digital Library).

2.

Buttolo, Pietro, Paul Stewart, & Anne L. Marsan. (2003). A haptic hybrid controller for virtual prototyping of vehicle mechanisms. 249–254. 11 indexed citations

3.

Chen, Yifan, et al.. (2002). A Mesh Feature Paradigm for Rapid Generation of CAE-Based Design of Experiments Data. 647–653. 2 indexed citations

4.

Marsan, Anne L., Yifan Chen, & Paul Stewart. (2001). A Finite Element Approach to Direct Surface Manipulation. 859–866. 2 indexed citations

5.

Kulkarni, Prashant, Anne L. Marsan, & Debasish Dutta. (2000). A review of process planning techniques in layered manufacturing. Rapid Prototyping Journal. 6(1). 18–35. 315 indexed citations

6.

Marsan, Anne L. & Debasish Dutta. (1999). Computational techniques for automatically tiling and skinning branched objects. Computers & Graphics. 23(1). 111–126. 9 indexed citations

7.

Marsan, Anne L., Vinod Kumar, Debasish Dutta, & Michael J. Pratt. (1998). An Assessment of Data Requirements and Data Transfer Formats for Layered Manufacturing. 23 indexed citations

8.

Marsan, Anne L. & Debasish Dutta. (1998). On the Application of Tensor Product Solids in Heterogeneous Solid Modeling. 12 indexed citations

9.

Zysset, Philippe K., Anne L. Marsan, Tien‐Min Gabriel Chu, et al.. (1997). Rapid prototyping of trabecluar bone for mechanical testing. 35. 387–388. 7 indexed citations

10.

Marsan, Anne L. & Debasish Dutta. (1997). Survey of Process Planning Techniques for Layered Manufacturing. 39 indexed citations

11.

Marsan, Anne L. & Deba Dutta. (1996). Construction of a Surface Model and Layered Manufacturing Data From 3D Homogenization Output. Journal of Mechanical Design. 118(3). 412–418. 25 indexed citations

12.

Marsan, Anne L. & Deba Dutta. (1995). Construction of a CAD Model From 3D Homogenization Output. 133–140. 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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