Gordon Elger

1.9k citations
141 papers · 1.4k indexed · 1 hit paper · h-index 19

Impact in

Papers in

Gordon Elger

129 papers receiving 1.3k citations

Hit Papers

Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry 2021 · 292 citations
292202120262022202450100150200250

Peers

Gordon Elger
Comparison fields: 5 of 94
  • Condensed Matter Physics 219
  • Automotive Engineering 198
  • Medical Laboratory Technology 24
  • Electrical and Electronic Engineering 828
  • Industrial and Manufacturing Engineering 99
Replace Jiajie Fan with:
Jiajie Fan China
Diganta Das United States
Sandip Bhattacharya India
Nicola Delmonte Italy
Weiyu Liu China
Philipp Bender Germany
Nagarajan Raghavan Singapore
Kai Li China
Wenjin Zhang China
Zijun Chen China
Gordon Elger relative to Jiajie Fan China Jiajie Fan's profile →
Citations per field
00.5×1.5×
Jiajie Fan · 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-authorship network

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
#Work
1 20251
2 20251
3 20243
4 20242
5 20243
6 20246
7 202311
8 202310
9 202214
10 202117
11
Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry
Hit paper breakdown →
2021292
12 20214
13 202033
14 20209
15 202014
16 20205
17 202011
18 201913
19 201818
20
Measurement of the Transient Thermal Impedance of MOSFETs Over the Sensitivity of the Threshold Voltage
20183

About Gordon Elger

Gordon Elger is a scholar working on Instrumentation, Condensed Matter Physics, Automotive Engineering, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering, having authored 141 papers that have together received 1.4k indexed citations. Recurring topics across this work include Electronic Packaging and Soldering Technologies (59 papers), 3D IC and TSV technologies (41 papers), GaN-based semiconductor devices and materials (32 papers), Silicon Carbide Semiconductor Technologies (16 papers), Advanced Optical Sensing Technologies (13 papers), Thin-Film Transistor Technologies (11 papers), Integrated Circuits and Semiconductor Failure Analysis (11 papers) and Semiconductor Lasers and Optical Devices (11 papers). The work is most often cited by research in Condensed Matter Physics (219 citations), Automotive Engineering (198 citations), Medical Laboratory Technology (24 citations), Electrical and Electronic Engineering (828 citations) and Industrial and Manufacturing Engineering (99 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, Fosca Conti, Maximilian Schmid, Lidiya Komsiyska, Christian Endisch, Jan Kleiner, K. Möbius and Omid Mokhtari. Their work appears in journals such as Microelectronics Reliability, New Journal of Chemistry, IEEE Access, Journal of Energy Storage and IEEE Transactions on Device and Materials Reliability.

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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