Olle Nerman

4.2k citations
58 papers · 2.9k · h-index 25

Impact in

Papers in

    • Gene expression and cancer classification 6
    • Fungal and yeast genetics research 6
    • Bioinformatics and Genomic Networks 5
    • Stochastic processes and statistical mechanics 12

Olle Nerman

58 papers receiving 2.8k citations

Peers

Olle Nerman
Comparison fields: 5 of 161
  • Mathematical Physics 300
  • Gastroenterology 152
  • Pollution 359
  • Statistics and Probability 251
  • Health, Toxicology and Mutagenesis 293
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Citations per year

Countries citing papers authored by Olle Nerman

Since Specialization
Citations

This map shows the geographic impact of Olle Nerman'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 Olle Nerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olle Nerman more than expected).

Fields of papers citing papers by Olle Nerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Olle Nerman. 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 Olle Nerman. The network helps show where Olle Nerman may publish in the future.

Co-authors

The 25 scholars most cited alongside Olle Nerman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Olle Nerman Line = papers co-authored together Olle Nerman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008459
2
Fitting Phase-type Distributions via the EM Algorithm
1996432
3 2003181
4 1981136
5 2015123
6 200798
7 200097
8 201697
9 201293
10 200987
11 198481
12 200178
13 202176
14 200973
15 201260
16 200153
17 200750
18 200950
19 201841
20 201337

About Olle Nerman

Olle Nerman is a scholar working on Molecular Biology, Mathematical Physics, Finance, Pathology and Forensic Medicine and Management Science and Operations Research, having authored 58 papers that have together received 2.9k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (12 papers), Stochastic processes and financial applications (8 papers), Multiple Sclerosis Research Studies (7 papers), Gene expression and cancer classification (6 papers), Fungal and yeast genetics research (6 papers), Probability and Risk Models (5 papers), Bioinformatics and Genomic Networks (5 papers) and Bayesian Methods and Mixture Models (4 papers). The work is most often cited by research in Mathematical Physics (300 citations), Gastroenterology (152 citations), Pollution (359 citations), Statistics and Probability (251 citations) and Health, Toxicology and Mutagenesis (293 citations). Olle Nerman has collaborated with scholars based in Sweden, Australia and United States. Frequent co-authors include Erik Kristiansson, Marita Olsson, Alexandra Jauhiainen, Lina Gunnarsson, D. G. Joakim Larsson, Peter Jagers, Jonas Warringer, Elke Ericson, Anders Blomberg and Markus J. Tamás. Their work appears in journals such as BMC Genomics, Stochastic Processes and their Applications, Advances in Applied Probability, PLoS ONE 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.

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