Milovan Krnjajić
- Statistics and Probability top 5%
- Artificial Intelligence
- Computer Science Applications top 5%
- Information Systems top 10%
- Molecular Biology
- Co-authors
- Athanasios KottasDavid DraperBrian HanksCharlie McDowellVladimir V. KapitonovJudith E. StengerJerzy JurkaL.A. Glenn
- Topics
- Statistical Methods and Bayesian Inference (4 papers)Bayesian Methods and Mixture Models (4 papers)Statistical Methods and Inference (3 papers)
- Journals
- Theoretical Population BiologyComputational Statistics & Data AnalysisScandinavian Journal of Statistics
- Partner nations
- United StatesIreland
In The Last Decade
Milovan Krnjajić
9 papers receiving 274 citations
Peers
Comparison fields: 5 of 66
- Statistics and Probability 91
- Artificial Intelligence 85
- Computer Science Applications 83
- Information Systems 75
- Molecular Biology 56
Countries citing papers authored by Milovan Krnjajić
This map shows the geographic impact of Milovan Krnjajić's research. 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 Milovan Krnjajić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milovan Krnjajić more than expected).
Fields of papers citing papers by Milovan Krnjajić
This network shows the impact of papers produced by Milovan Krnjajić. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Milovan Krnjajić. The network helps show where Milovan Krnjajić may publish in the future.
Co-authorship network of co-authors of Milovan Krnjajić
This figure shows the co-authorship network connecting the top 25 collaborators of Milovan Krnjajić. A scholar is included among the top collaborators of Milovan Krnjajić based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Milovan Krnjajić. Milovan Krnjajić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 99 | |
| 5 | 20 | |
| 6 | Contributions to bayesian statistical analysis: model specification and nonparametric inference | 4 |
| 7 | 15 | |
| 8 | 93 | |
| 9 | 56 |
About Milovan Krnjajić
Milovan Krnjajić is a scholar working on Statistics and Probability, Computer Science Applications and Artificial Intelligence, having authored 9 papers that have together received 300 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (4 papers), Bayesian Methods and Mixture Models (4 papers) and Statistical Methods and Inference (3 papers). The work is most often cited by research in Computer Science Applications (83 citations), Statistics and Probability (91 citations) and Information Systems (75 citations). Milovan Krnjajić has collaborated with scholars based in United States and Ireland. Frequent co-authors include Athanasios Kottas, David Draper, Brian Hanks, Charlie McDowell, Vladimir V. Kapitonov, Judith E. Stenger, Jerzy Jurka, L.A. Glenn and Joseph P. Morris. Their work appears in journals such as Theoretical Population Biology, Computational Statistics & Data Analysis and Scandinavian Journal of Statistics.
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.