Christoph Ettl
Biographic Data
| ID | 6837691 |
|---|---|
| NAME | Christoph Ettl |
| GIVEN NAMES | Christoph |
| FAMILY NAME | Ettl |
| SIGNATURE | ETTL C |
| AFFILIATIONS | Max Planck Society |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
The use of ChatGPT for identifying disruptive papers in science
ChatGPT has arrived in quantitative research evaluation. With the exploration in this Letter to the Editor, we would like to widen the spectrum of the possible use of ChatGPT in bibliometrics by applying it to identify disruptive papers. The identification of disruptive papers using publication and citation counts has become a popular topic in scientometrics. The disadvantage of the quantitative approach is its complexity in the computation. The …
Historical Roots and Seminal Papers of Quantum Technology 2.0
We present a historical study of Quantum Technology 2.0 using more than 66,000 papers from 1980 to 2020 that had been assigned to four subfields. We applied the method reference publication year spectroscopy to respective publication sets of the subfields in order to identify their historical roots and seminal papers. We found 126 of them in total, 43 in quantum metrology and sensing, 46 in quantum communication and cryptography, 42 in quantum co…
No prominent works on this page.
Historical Roots and Seminal Papers of Quantum Technology 2.0
We present a historical study of Quantum Technology 2.0 using more than 66,000 papers from 1980 to 2020 that had been assigned to four subfields. We applied the method reference publication year spectroscopy to respective publication sets of the subfields in order to identify their historical roots and seminal papers. We found 126 of them in total, 43 in quantum metrology and sensing, 46 in quantum communication and cryptography, 42 in quantum co…
The use of ChatGPT for identifying disruptive papers in science
ChatGPT has arrived in quantitative research evaluation. With the exploration in this Letter to the Editor, we would like to widen the spectrum of the possible use of ChatGPT in bibliometrics by applying it to identify disruptive papers. The identification of disruptive papers using publication and citation counts has become a popular topic in scientometrics. The disadvantage of the quantitative approach is its complexity in the computation. The …
Computer Science (2 works) · Artificial Intelligence in Healthcare and Education (1 work) · Data science (1 work) · Epistemology (1 work) · Explainable Artificial Intelligence (XAI (1 work) · Law (1 work) · Law (1 work) · Library science (1 work) · Mathematics (1 work) · Misinformation and Its Impacts (1 work)