What is he best known for?
The fields of study he is best known for:
- Statistics
- Social science
- Epistemology
His primary scientific interests are in Citation, Citation impact, Operations research, Citation analysis and Statistics.
His study in the fields of Citation rate under the domain of Citation overlaps with other disciplines such as Bibliometric analysis and Eu countries.
As a member of one scientific family, András Schubert mostly works in the field of Citation impact, focusing on Management science and, on occasion, Institutional research.
His Operations research study combines topics from a wide range of disciplines, such as Field, Relation and Library science.
His Citation analysis research includes themes of Social science, Scientometrics and Bibliometrics.
His Scientometrics research incorporates elements of Normalization and Data mining.
His most cited work include:
- Evolution of the social network of scientific collaborations (2001 citations)
- A Hirsch-type index for journals (512 citations)
- Analysing Scientific Networks Through Co-Authorship (402 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Scientometrics, Library science, Citation, Citation impact and Citation analysis.
His studies deal with areas such as Bibliometrics and Science Citation Index as well as Scientometrics.
In general Library science study, his work on Citation rate often relates to the realm of Bibliometric analysis, thereby connecting several areas of interest.
His research in Citation focuses on subjects like Information retrieval, which are connected to Data mining.
András Schubert undertakes interdisciplinary study in the fields of Citation impact and Scientific literature through his research.
His Citation analysis study integrates concerns from other disciplines, such as Citation index, Subject and Operations research.
He most often published in these fields:
- Scientometrics (22.07%)
- Library science (18.78%)
- Citation (18.78%)
What were the highlights of his more recent work (between 2010-2021)?
- Scientometrics (22.07%)
- Humanities (5.63%)
- Analytical Chemistry (8.92%)
In recent papers he was focusing on the following fields of study:
András Schubert spends much of his time researching Scientometrics, Humanities, Analytical Chemistry, Library science and Citation.
His Scientometrics research is multidisciplinary, incorporating perspectives in Linguistics, Medal, Citation rate, Cognitive science and Bibliometrics.
His Analytical Chemistry study deals with Management science intersecting with Dynamics and Applied mathematics.
The concepts of his Library science study are interwoven with issues in University level, Proposition, Sample, Field and Thesaurus.
His biological study focuses on Citation impact.
András Schubert interconnects Journal Impact Factors, Journal ranking, Data mining and A priori and a posteriori in the investigation of issues within Citation impact.
Between 2010 and 2021, his most popular works were:
- A review of literature on evaluating the scientific, social, and political impact of social sciences and humanities research (58 citations)
- A priori vs. a posteriori normalisation of citation indicators. The case of journal ranking (45 citations)
- A Hirsch-type index of co-author partnership ability (37 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Social science
- Epistemology
His primary areas of study are Scientometrics, Citation, Information retrieval, Index and Subject.
His Scientometrics study deals with the bigger picture of Library science.
His Citation impact and Citation rate study in the realm of Citation interacts with subjects such as Research community.
His research in Citation impact intersects with topics in Productivity, Internal medicine, Excellence and Cardiology.
His biological study spans a wide range of topics, including Bibliometrics, Data mining, A priori and a posteriori, Journal Impact Factors and Journal ranking.
His research integrates issues of Similarity measure, Similarity and Character in his study of Index.
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