The Georgia Tech TPAC dataset covers the period 1991 - 2008 and is comprised of publication records from three major science and technology Indexing and Abstracting (IA) databases. This dataset has been analysed previously to map the interdisciplinarity of nanotechnology research (Porter, 2009) and, more recently, to chart a trend in published literature from passive to active nanostructures (Subramanian, 2010).
Analysis of this dataset, performed by Harmeet Singh Gandhi for the NNN, extracted publication records for authors supported by NNN-affiliated research centers (CHM, CHN, SINAM, and nanoCEMMS). The analysis reveals that the general emphases of the authors' research activity is consistent with Porter's earlier findings—the most frequently occurring subject classifications fall with in the chemical and material sciences, as well as physics (See Table 1).
Rank | # Records | Class Codes + Subject Category |
1 | 575 | Physics, Applied |
2 | 535 | Materials Science, Multidisciplinary |
3 | 455 | Chemistry, Multidisciplinary |
4 | 389 | Semiconductor Devices & Integrated Circuits |
5 | 348 | Physical Properties of Gases, Liquids & Solids |
6 | 303 | Crystalline Solids |
7 | 295 | Optical Devices & Systems |
8 | 293 | Chemistry, Physical |
9 | 291 | Light/Optics |
10 | 282 | Chemical Reactions |

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