Olle Nerman

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

Olle Nerman

58 papers receiving 2.8k citations

Peers

Olle Nerman
Comparison fields: 5 of 166
  • Mathematical Physics 297
  • Pollution 360
  • Statistics and Probability 249
  • Gastroenterology 157
  • Health, Toxicology and Mutagenesis 300
Replace Ralph L. Kodell with:
Ralph L. Kodell United States
Maria De Iorio United Kingdom
Philippe Besse France
Rui Liu China
Jeng‐Min Chiou Taiwan
Min Chen China
Rui‐Sheng Wang United States
Ling China
Ib M. Skovgaard Denmark
Eugene F. Schuster United States
Olle Nerman relative to Ralph L. Kodell United States Ralph L. Kodell's profile →
Citations per field
00.5×10×15×22.4×
Ralph L. Kodell · 1×
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-authorship network

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
#Work
1 202175
2 20211
3 201841
4 20178
5 201616
6 201697
7 20155
8 201335
9 201212
10 201291
11 201030
12 200973
13 200717
14 200622
15 200533
16 199922
17 19995
18
Fitting Phase-type Distributions via the EM Algorithm
1996432
19 19901
20 198417

About Olle Nerman

Olle Nerman is a scholar working on Mathematical Physics, Finance, Statistics and Probability, Management Science and Operations Research and Gastroenterology, 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), Gene expression and cancer classification (8 papers), Multiple Sclerosis Research Studies (7 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 (297 citations), Pollution (360 citations), Statistics and Probability (249 citations), Gastroenterology (157 citations) and Health, Toxicology and Mutagenesis (300 citations). Olle Nerman has collaborated with scholars based in Sweden, Australia and United Kingdom. Frequent co-authors include Erik Kristiansson, Marita Olsson, Alexandra Jauhiainen, Lina Gunnarsson, D. G. Joakim Larsson, Peter Jagers, Jonas Warringer, Anders Blomberg, Elke Ericson and Michael Thorsen. Their work appears in journals such as Stochastic Processes and their Applications, Advances in Applied Probability, BMC Genomics, Scandinavian Journal of Statistics and PLoS ONE.

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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