Concepedia

Computational Mass Spectrometry

Computational mass spectrometry is an interdisciplinary research field and methodological approach dedicated to the application of computational methods for the analysis, interpretation, and advanced evaluation of mass spectrometry data. This domain is essential for complementing experimental mass spectrometry, enabling detailed characterization of complex molecular systems and processes, and extracting insights across diverse scientific and technical areas.

5.7K

Publications

415.5K

Citations

17.1K

Authors

2.9K

Institutions

Publications per year

2017–2026

1.1K

Authors

17.1K

Leading researchers in Computational Mass Spectrometry. Counts cover only their work on this concept, not their overall record.

PublicationsCitationsH-Index
RG

Purdue University West Lafayette

95

7.4K

43

RS

Pacific Northwest National Laboratory

66

6.5K

42

FW

Cornell University

71

5.9K

40

RA

ETH Zurich

37

6.6K

33

AG

Florida State University

47

4.8K

32

Rows per page

1–5 of 17.1K

Institutions

2.9K

Leading universities and research organizations in Computational Mass Spectrometry. Counts cover only their work on this concept, not their overall record.

PublicationsCitationsH-Index
University of Washington

Seattle, United States

406

67.2K

50

473

33.5K

50

ETH Zurich

Zurich, Switzerland

250

33.6K

46

University of California San Diego

San Diego, United States

381

45.9K

44

Purdue University West Lafayette

West Lafayette, United States

341

22.3K

42

Rows per page

1–5 of 2.9K

Venues

Leading journals and conferences in Computational Mass Spectrometry. Counts cover only their publications on this concept, not their overall record.