George Chacko
Biographic Data
| ID | 5852475 |
|---|---|
| NAME | George Chacko |
| GIVEN NAMES | George |
| FAMILY NAME | Chacko |
| SIGNATURE | CHACKO G |
| AFFILIATIONS | NETE (United States) |
| ORCID | 0000-0002-2127-1892 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Aoc
Through discovery of mesoscale structures, community detection methods contribute to the understanding of complex networks. Many community finding methods, however, rely on disjoint clustering techniques, in which node membership is restricted to one community or cluster. This strict requirement limits the ability to inclusively describe communities because some nodes may reasonably be assigned to multiple communities. We have previously reported…
Center–periphery structure in research communities
Clustering and community detection in networks are of broad interest and have been the subject of extensive research that spans several fields. We are interested in the relatively narrow question of detecting communities of scientific publications that are linked by citations. These publication communities can be used to identify scientists with shared interests who form communities of researchers. Building on the well-known k-core algorithm, we …
Finding scientific communities in citation graphs
Understanding the nature and organization of scientific communities is of broad interest. The “Invisible College” is a historical metaphor for one such type of community that refers to a small group of scientists working on a problem of common interest. The scientific and social behavior of such colleges has been the subject of case studies that have examined limited samples of the scientific enterprise. We introduce a metamethod for large-scale …
Disruptive papers published in Scientometrics
Wu et al. (Nature 566:378–382, 2019) introduced a new indicator measuring disruption ( $${DI}_{1}$$ DI 1 ). Bornmann et al. (Do disruption index indicators measure what they propose to measure? The comparison of several indicator variants with assessments by peers, 2019. https://arxiv.org/abs/1911.08775 ) compared variants of the disruption index and pointed to $${DI}_{5}$$ DI 5 as an interesting variant. The calculation of a field-specific versi…
Viewing computer science through citation analysis
Frequently cocited publications
Cocitation measurements can reveal the extent to which a concept representing a novel combination of existing ideas evolves towards a specialty. The strength of cocitation is represented by its frequency, which accumulates over time. Of interest is whether underlying features associated with the strength of cocitation can be identified. We use the proximal citation network for a given pair of articles ( x, y) to compute θ, an a priori estimate of…
Are disruption index indicators convergently valid? The comparison of several indicator variants with assessments by peers
Recently, Wu, Wang, and Evans (2019) proposed a new family of indicators, which measure whether a scientific publication is disruptive to a field or tradition of research. Such disruptive influences are characterized by citations to a focal paper, but not its cited references. In this study, we are interested in the question of convergent validity. We used external criteria of newness to examine convergent validity: In the postpublication peer re…
Co-citations in context
Citation analysis of the scientific literature has been used to study and define disciplinary boundaries, to trace the dissemination of knowledge, and to estimate impact. Co-citation, the frequency with which pairs of publications are cited, provides insight into how documents relate to each other and across fields. Co-citation analysis has been used to characterize combinations of prior work as conventional or innovative and to derive features o…
NIH Peer Review
The National Institutes of Health (NIH) is the largest source of funding for biomedical research in the world. Funding decisions are made largely based on the outcome of a peer review process that is intended to provide a fair, equitable, timely, and unbiased review of the quality, scientific merit, and potential impact of the research. There have been concerns about the criteria reviewers are using, and recent changes in review procedures at the…
No prominent works on this page.
NIH Peer Review
The National Institutes of Health (NIH) is the largest source of funding for biomedical research in the world. Funding decisions are made largely based on the outcome of a peer review process that is intended to provide a fair, equitable, timely, and unbiased review of the quality, scientific merit, and potential impact of the research. There have been concerns about the criteria reviewers are using, and recent changes in review procedures at the…
Disruptive papers published in Scientometrics
Wu et al. (Nature 566:378–382, 2019) introduced a new indicator measuring disruption ( $${DI}_{1}$$ DI 1 ). Bornmann et al. (Do disruption index indicators measure what they propose to measure? The comparison of several indicator variants with assessments by peers, 2019. https://arxiv.org/abs/1911.08775 ) compared variants of the disruption index and pointed to $${DI}_{5}$$ DI 5 as an interesting variant. The calculation of a field-specific versi…
Viewing computer science through citation analysis
Frequently cocited publications
Cocitation measurements can reveal the extent to which a concept representing a novel combination of existing ideas evolves towards a specialty. The strength of cocitation is represented by its frequency, which accumulates over time. Of interest is whether underlying features associated with the strength of cocitation can be identified. We use the proximal citation network for a given pair of articles ( x, y) to compute θ, an a priori estimate of…
Are disruption index indicators convergently valid? The comparison of several indicator variants with assessments by peers
Recently, Wu, Wang, and Evans (2019) proposed a new family of indicators, which measure whether a scientific publication is disruptive to a field or tradition of research. Such disruptive influences are characterized by citations to a focal paper, but not its cited references. In this study, we are interested in the question of convergent validity. We used external criteria of newness to examine convergent validity: In the postpublication peer re…
Co-citations in context
Citation analysis of the scientific literature has been used to study and define disciplinary boundaries, to trace the dissemination of knowledge, and to estimate impact. Co-citation, the frequency with which pairs of publications are cited, provides insight into how documents relate to each other and across fields. Co-citation analysis has been used to characterize combinations of prior work as conventional or innovative and to derive features o…
Finding scientific communities in citation graphs
Understanding the nature and organization of scientific communities is of broad interest. The “Invisible College” is a historical metaphor for one such type of community that refers to a small group of scientists working on a problem of common interest. The scientific and social behavior of such colleges has been the subject of case studies that have examined limited samples of the scientific enterprise. We introduce a metamethod for large-scale …
Aoc
Through discovery of mesoscale structures, community detection methods contribute to the understanding of complex networks. Many community finding methods, however, rely on disjoint clustering techniques, in which node membership is restricted to one community or cluster. This strict requirement limits the ability to inclusively describe communities because some nodes may reasonably be assigned to multiple communities. We have previously reported…
Center–periphery structure in research communities
Clustering and community detection in networks are of broad interest and have been the subject of extensive research that spans several fields. We are interested in the relatively narrow question of detecting communities of scientific publications that are linked by citations. These publication communities can be used to identify scientists with shared interests who form communities of researchers. Building on the well-known k-core algorithm, we …
scientometrics and bibliometrics research (7 works) · Complex Network Analysis Techniques (6 works) · Citation (4 works) · Computer Science (4 works) · Artificial Intelligence (3 works) · Library science (3 works) · Artificial Intelligence (2 works) · Biology (2 works) · Chemistry (2 works) · Citation analysis (2 works)