Daniel Wellmann

1.0k total citations · 1 hit paper
8 papers, 802 citations indexed

About

Daniel Wellmann is a scholar working on Mechanical Engineering, Automotive Engineering and Materials Chemistry. According to data from OpenAlex, Daniel Wellmann has authored 8 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Mechanical Engineering, 7 papers in Automotive Engineering and 1 paper in Materials Chemistry. Recurrent topics in Daniel Wellmann's work include Additive Manufacturing Materials and Processes (6 papers), Additive Manufacturing and 3D Printing Technologies (6 papers) and Welding Techniques and Residual Stresses (4 papers). Daniel Wellmann is often cited by papers focused on Additive Manufacturing Materials and Processes (6 papers), Additive Manufacturing and 3D Printing Technologies (6 papers) and Welding Techniques and Residual Stresses (4 papers). Daniel Wellmann collaborates with scholars based in China and United Kingdom. Daniel Wellmann's co-authors include Chaoqun Zhang, Yingtao Tian, Wen Liu, Wanwan Jin, Dayong Wang, Yankun Yang, Zhihua Tian, Xiaoying Fang, Wei Guo and Xin Tong and has published in prestigious journals such as Materials, The International Journal of Advanced Manufacturing Technology and Applied Sciences.

In The Last Decade

Daniel Wellmann

8 papers receiving 769 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.

Wire Arc Additive Manufacturing of Stainless Steels: A Review

2020 268 citations Wanwan Jin, Chaoqun Zhang et al. Applied Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Wellmann China	8	767	392	69	67	50	8	802
Chloe Cunningham United Kingdom	6	820 1.1×	480 1.2×	49 0.7×	108 1.6×	40 0.8×	7	860
Didier Boisselier France	9	586 0.8×	334 0.9×	59 0.9×	97 1.4×	42 0.8×	20	630
Eider Aldalur Spain	14	676 0.9×	404 1.0×	33 0.5×	47 0.7×	37 0.7×	22	703
Annika Strondl Sweden	11	621 0.8×	459 1.2×	70 1.0×	83 1.2×	26 0.5×	19	686
Mustafa Awd Germany	13	734 1.0×	465 1.2×	84 1.2×	164 2.4×	76 1.5×	26	778
C.P. Li China	12	1.0k 1.3×	565 1.4×	92 1.3×	145 2.2×	112 2.2×	14	1.1k
Tianqiu Xu China	14	703 0.9×	402 1.0×	77 1.1×	144 2.1×	36 0.7×	27	731
Uğur Gürol Türkiye	14	605 0.8×	227 0.6×	65 0.9×	157 2.3×	90 1.8×	35	646
Priyanshu Bajaj Germany	9	1.0k 1.3×	481 1.2×	90 1.3×	177 2.6×	58 1.2×	16	1.1k
Morteza Ghasri-Khouzani Canada	16	587 0.8×	312 0.8×	42 0.6×	168 2.5×	60 1.2×	24	632

Countries citing papers authored by Daniel Wellmann

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Wellmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Wellmann

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

All Works

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8 of 8 papers shown

1.

Zhou, Zhisong, et al.. (2021). A Hybrid Lateral Dynamics Model Combining Data-driven and Physical Models for Vehicle Control Applications. IFAC-PapersOnLine. 54(20). 617–623. 16 indexed citations

2.

Jin, Wanwan, et al.. (2020). Wire Arc Additive Manufacturing of Stainless Steels: A Review. Applied Sciences. 10(5). 1563–1563. 268 indexed citations breakdown →

3.

Zhang, Chaoqun, et al.. (2020). Laser Powder Bed Fusion of Precipitation-Hardened Martensitic Stainless Steels: A Review. Metals. 10(2). 255–255. 109 indexed citations

4.

Yang, Yankun, et al.. (2020). Additive manufacturing of WC-Co hardmetals: a review. The International Journal of Advanced Manufacturing Technology. 108(5-6). 1653–1673. 130 indexed citations

5.

Chen, Hongwei, et al.. (2020). Corrosion Behaviors of Selective Laser Melted Aluminum Alloys: A Review. Metals. 10(1). 102–102. 60 indexed citations

6.

Li, Mingshen, Chaoqun Zhang, Dayong Wang, et al.. (2019). Friction Stir Spot Welding of Aluminum and Copper: A Review. Materials. 13(1). 156–156. 59 indexed citations

7.

Tian, Zhihua, et al.. (2019). A Review on Laser Powder Bed Fusion of Inconel 625 Nickel-Based Alloy. Applied Sciences. 10(1). 81–81. 136 indexed citations

8.

Tian, Zhihua, Chaoqun Zhang, Dayong Wang, et al.. (2019). A Review on Laser Powder Bed Fusion of Inconel 625 Nickel-Based Alloy. Apollo (University of Cambridge). 10(1). 81. 24 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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