Gamma- and X-Ray Spectrometry with Semiconductor Detectors
Impact in
- Radiation 499
Classified as
- Authors
- K. DebertinR.G. Helmer
- Journal
- CERN Document Server (European Organization for Nuclear Research)
In The Last Decade
doi.org/w96065263 →Countries where authors are citing Gamma- and X-Ray Spectrometry with Semiconductor Detectors
This map shows the geographic impact of Gamma- and X-Ray Spectrometry with Semiconductor Detectors. 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 Gamma- and X-Ray Spectrometry with Semiconductor Detectors with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gamma- and X-Ray Spectrometry with Semiconductor Detectors more than expected).
Fields of papers citing Gamma- and X-Ray Spectrometry with Semiconductor Detectors
This network shows the impact of Gamma- and X-Ray Spectrometry with Semiconductor Detectors. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Gamma- and X-Ray Spectrometry with Semiconductor Detectors.
About Gamma- and X-Ray Spectrometry with Semiconductor Detectors
This paper, published in 1988, received 665 indexed citations . Written by K. Debertin and R.G. Helmer covering the research area of Radiation and Nuclear and High Energy Physics. It is primarily cited by scholars working on Radiation (499 citations), Radiological and Ultrasound Technology (362 citations), Materials Chemistry (155 citations), Nuclear and High Energy Physics (112 citations) and Global and Planetary Change (90 citations). Published in CERN Document Server (European Organization for Nuclear Research).
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.
This paper is also available at doi.org/w96065263.