Gordon Elger

2.0k citations
145 papers · 1.5k · 1 hit paper · h-index 19

Impact in

Papers in

    • Electronic Packaging and Soldering Technologies 61
    • 3D IC and TSV technologies 43
    • Silicon Carbide Semiconductor Technologies 16
    • Semiconductor Lasers and Optical Devices 11
    • Integrated Circuits and Semiconductor Failure Analysis 11
    • Thin-Film Transistor Technologies 11
    • GaN-based semiconductor devices and materials 32

Gordon Elger

133 papers receiving 1.4k citations

Gordon Elger's Hit Papers

Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry 2021 · 308 citations
3080+1+3Years since publication100200300

Peers

Gordon Elger
Comparison fields: 5 of 94
  • Condensed Matter Physics 219
  • Medical Laboratory Technology 25
  • Automotive Engineering 204
  • Electrical and Electronic Engineering 850
  • Industrial and Manufacturing Engineering 104
Replace Jun Ho Lee with:
Jun Ho Lee South Korea
Jiajie Fan China
Nicola Delmonte Italy
Diganta Das United States
Sandip Bhattacharya India
Nagarajan Raghavan Singapore
Zijun Chen China
Weiyu Liu China
Kai Li China
Sun‐Kyu Lee South Korea
Gordon Elger relative to Jun Ho Lee South Korea Jun Ho Lee's profile →
Citations per field
00.5×8.3×
Jun Ho Lee · 1×
Citations per year

Countries citing papers authored by Gordon Elger

Since Specialization
Citations

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

Fields of papers citing papers by Gordon Elger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gordon Elger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gordon Elger Line = papers co-authored together Gordon Elger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry
Hit paper breakdown →
2021308
2 200255
3 201544
4 202042
5 201539
6 201935
7 202034
8 202034
9 202333
10 201631
11 200428
12 199925
13 201624
14 201823
15 201322
16 200022
17 199821
18 201420
19 201819
20 202118

About Gordon Elger

Gordon Elger is a scholar working on Electrical and Electronic Engineering, Condensed Matter Physics, Automotive Engineering, Mechanical Engineering and Materials Chemistry, having authored 145 papers that have together received 1.5k indexed citations. Recurring topics across this work include Electronic Packaging and Soldering Technologies (61 papers), 3D IC and TSV technologies (43 papers), GaN-based semiconductor devices and materials (32 papers), Silicon Carbide Semiconductor Technologies (16 papers), Advanced Optical Sensing Technologies (13 papers), Semiconductor Lasers and Optical Devices (11 papers), Integrated Circuits and Semiconductor Failure Analysis (11 papers) and Thin-Film Transistor Technologies (11 papers). The work is most often cited by research in Condensed Matter Physics (219 citations), Medical Laboratory Technology (25 citations), Automotive Engineering (204 citations), Electrical and Electronic Engineering (850 citations) and Industrial and Manufacturing Engineering (104 citations). Gordon Elger has collaborated with scholars based in Germany, Italy and United Kingdom. Frequent co-authors include Marcel Kettelgerdes, Judith Pérez-Velázquez, Andreas Theissler, Maximilian Schmid, Fosca Conti, Lidiya Komsiyska, Jan Kleiner, Christian Endisch, Omid Mokhtari and K. Möbius. Their work appears in journals such as Microelectronics Reliability, New Journal of Chemistry, Applied Sciences, IEEE Transactions on Device and Materials Reliability and IEEE Access.

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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