Hans‐Rolf Gregorius

2.4k total citations
120 papers, 1.7k citations indexed

About

Hans‐Rolf Gregorius is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, Hans‐Rolf Gregorius has authored 120 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Genetics, 46 papers in Ecology, Evolution, Behavior and Systematics and 34 papers in Molecular Biology. Recurrent topics in Hans‐Rolf Gregorius's work include Plant and animal studies (44 papers), Genetic diversity and population structure (36 papers) and Evolution and Genetic Dynamics (32 papers). Hans‐Rolf Gregorius is often cited by papers focused on Plant and animal studies (44 papers), Genetic diversity and population structure (36 papers) and Evolution and Genetic Dynamics (32 papers). Hans‐Rolf Gregorius collaborates with scholars based in Germany, United States and Israel. Hans‐Rolf Gregorius's co-authors include Michael D. Ross, James H. Roberds, Gene Namkoong, Martin Ziehe, J. B. Larsen, Florian Bergmann, Бернд Деген, Christian Wehenkel, G. Müller‐Starck and F. Bergmann and has published in prestigious journals such as PLoS ONE, The American Naturalist and Genetics.

In The Last Decade

Hans‐Rolf Gregorius

116 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hans‐Rolf Gregorius Germany 22 879 639 548 516 398 120 1.7k
Henri Caron France 21 912 1.0× 704 1.1× 362 0.7× 492 1.0× 319 0.8× 42 1.4k
C. Gliddon United Kingdom 18 613 0.7× 514 0.8× 441 0.8× 382 0.7× 264 0.7× 29 1.3k
Matthew B. Hamilton United States 13 866 1.0× 469 0.7× 363 0.7× 265 0.5× 430 1.1× 35 1.4k
Cécile Fanny Emilie Bacles United Kingdom 13 763 0.9× 631 1.0× 357 0.7× 547 1.1× 213 0.5× 17 1.3k
Stephen J. Tonsor United States 25 913 1.0× 1.1k 1.8× 951 1.7× 655 1.3× 485 1.2× 44 2.2k
Khalid Belkhir France 10 910 1.0× 399 0.6× 328 0.6× 378 0.7× 360 0.9× 12 1.8k
Sylvia M. Heredia United States 12 626 0.7× 506 0.8× 402 0.7× 374 0.7× 239 0.6× 14 1.4k
Maria J. Clauss Germany 20 440 0.5× 708 1.1× 852 1.6× 653 1.3× 508 1.3× 21 1.8k
Gene Namkoong United States 26 795 0.9× 340 0.5× 647 1.2× 864 1.7× 221 0.6× 89 2.0k
Diana Pilson United States 17 745 0.8× 906 1.4× 892 1.6× 659 1.3× 379 1.0× 36 2.1k

Countries citing papers authored by Hans‐Rolf Gregorius

Since Specialization
Citations

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

Fields of papers citing papers by Hans‐Rolf Gregorius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans‐Rolf Gregorius. 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 Hans‐Rolf Gregorius. The network helps show where Hans‐Rolf Gregorius may publish in the future.

Co-authorship network of co-authors of Hans‐Rolf Gregorius

This figure shows the co-authorship network connecting the top 25 collaborators of Hans‐Rolf Gregorius. A scholar is included among the top collaborators of Hans‐Rolf Gregorius 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 Hans‐Rolf Gregorius. Hans‐Rolf Gregorius is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kosman, Evsey, Samuel M. Scheiner, & Hans‐Rolf Gregorius. (2020). Severe limitations of the FEve metric of functional evenness and some alternative metrics. Ecology and Evolution. 11(1). 123–132. 10 indexed citations
2.
Gregorius, Hans‐Rolf. (2020). Factorization of joint metacommunity diversity into its marginal components: an alternative to the partitioning of trait diversity. Theory in Biosciences. 139(3). 253–263. 1 indexed citations
3.
Gregorius, Hans‐Rolf, et al.. (2020). Effects of reproductive resource allocation and pollen density on fertilization success in plants. BMC Ecology. 20(1). 26–26. 8 indexed citations
4.
Gregorius, Hans‐Rolf, et al.. (2015). Classifying Measures of Biological Variation. PLoS ONE. 10(3). e0115312–e0115312. 10 indexed citations
5.
Gregorius, Hans‐Rolf. (2011). The Analysis of Association Between Traits When Differences Between Trait States Matter. Acta Biotheoretica. 59(3-4). 213–229. 3 indexed citations
6.
Gregorius, Hans‐Rolf, et al.. (2008). Measuring differentiation among populations at different levels of genetic integration. BMC Genetics. 9(1). 60–60. 11 indexed citations
7.
Gregorius, Hans‐Rolf, et al.. (2006). Detecting local establishment strategies of wild cherry (Prunus avium L.).. BMC Ecology. 6(1). 13–13. 19 indexed citations
8.
Gregorius, Hans‐Rolf, et al.. (2002). On a genetic assessment of the adaptedness of forest reproductive material. Theoretical and Applied Genetics. 104(2). 429–435. 1 indexed citations
9.
Steiner, Wilfried & Hans‐Rolf Gregorius. (1999). Incompatibility and pollen competition in Alnus glutinosa: Evidence from pollination experiments. Genetica. 105(3). 259–271. 12 indexed citations
10.
Steiner, Wilfried & Hans‐Rolf Gregorius. (1997). Reinforcement of genetic coherence: a single-locus model. Biosystems. 43(2). 137–144. 3 indexed citations
11.
Gregorius, Hans‐Rolf. (1997). The Adaptational System as a Dynamical Feedback System. Journal of Theoretical Biology. 189(1). 97–105. 5 indexed citations
12.
Gregorius, Hans‐Rolf. (1996). The Contribution of the Genetics of Populations to Ecosystem Stability. Silvae genetica. 45. 267–271. 11 indexed citations
13.
Gallo, Leonardo, Hans‐Rolf Gregorius, & H. H. Hattemer. (1995). Genetic effects of phenotypic traits in Populus inferable from an explorative analysis of response functions (ARF) in a factorial mating design. Silvae genetica. 44. 290–298. 2 indexed citations
14.
Gregorius, Hans‐Rolf. (1991). On the concept of effective number. Theoretical Population Biology. 40(2). 269–283. 29 indexed citations
15.
Gregorius, Hans‐Rolf. (1988). The meaning of genetic variation within and between subpopulations. Theoretical and Applied Genetics. 76(6). 947–951. 19 indexed citations
16.
Gregorius, Hans‐Rolf, et al.. (1986). Genotype ? environment interaction in tissue cultures of birch. Theoretical and Applied Genetics. 72(4). 477–482. 5 indexed citations
17.
Gregorius, Hans‐Rolf. (1979). The concept of repulsivity in dynamical systems as motivated by persistence problems in population biology. International Journal of Systems Science. 10(8). 863–871. 5 indexed citations
18.
Gregorius, Hans‐Rolf. (1977). The genotype x environment-to-phenotype relationship. Theoretical and Applied Genetics. 49(4). 165–176. 5 indexed citations
19.
Gregorius, Hans‐Rolf. (1975). Die Varianz der relativen Allelhäufigkeit in einer Population konstanter endlicher Größe. Biometrische Zeitschrift. 17(2). 105–116. 1 indexed citations
20.
Gregorius, Hans‐Rolf. (1975). A model for the determination of the variance in genetic relationship among offspring from open-pollinated plant populations. Theoretical and Applied Genetics. 46(3). 157–163. 2 indexed citations

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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