Milan Straškraba

3.1k total citations · 1 hit paper
82 papers, 2.1k citations indexed

About

Milan Straškraba is a scholar working on Ecology, Environmental Engineering and Environmental Chemistry. According to data from OpenAlex, Milan Straškraba has authored 82 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Ecology, 19 papers in Environmental Engineering and 18 papers in Environmental Chemistry. Recurrent topics in Milan Straškraba's work include Aquatic Ecosystems and Phytoplankton Dynamics (17 papers), Sustainability and Ecological Systems Analysis (17 papers) and Fish Ecology and Management Studies (11 papers). Milan Straškraba is often cited by papers focused on Aquatic Ecosystems and Phytoplankton Dynamics (17 papers), Sustainability and Ecological Systems Analysis (17 papers) and Fish Ecology and Management Studies (11 papers). Milan Straškraba collaborates with scholars based in Czechia, Slovakia and United States. Milan Straškraba's co-authors include José Galízia Tundisi, Bernard C. Patten, Sven Erik Jørgensen, Santanu Ray, S.E. Jørgensen, Bo‐Ping Han, Brian D. Fath, Han Bo-ping, Luděk Berec and G. C. Hocking and has published in prestigious journals such as Limnology and Oceanography, Journal of Ecology and Journal of Animal Ecology.

In The Last Decade

Milan Straškraba

78 papers receiving 1.9k citations

Hit Papers

Theoretical reservoir ecology and its applications 1999 2026 2008 2017 1999 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Milan Straškraba Czechia 26 704 626 616 594 460 82 2.1k
Tarzan Legović Croatia 25 221 0.3× 185 0.3× 440 0.7× 144 0.2× 435 0.9× 90 1.8k
Robert R. Christian United States 30 365 0.5× 214 0.3× 1.7k 2.7× 382 0.6× 815 1.8× 72 2.9k
Luke Winslow United States 29 1.3k 1.8× 1.0k 1.6× 892 1.4× 283 0.5× 641 1.4× 80 3.2k
Fred H. Sklar United States 33 444 0.6× 480 0.8× 2.1k 3.5× 175 0.3× 963 2.1× 82 3.3k
William R. Emanuel United States 16 392 0.6× 669 1.1× 1.3k 2.2× 443 0.7× 1.8k 3.8× 38 4.0k
J. Icarus Allen United Kingdom 31 460 0.7× 224 0.4× 1.2k 1.9× 122 0.2× 1.7k 3.7× 57 4.2k
Jay A. Austin United States 23 379 0.5× 409 0.7× 599 1.0× 66 0.1× 748 1.6× 60 2.3k
Ryan D. Batt United States 18 392 0.6× 444 0.7× 681 1.1× 282 0.5× 1.0k 2.2× 22 2.0k
John Parslow Australia 28 328 0.5× 170 0.3× 795 1.3× 84 0.1× 748 1.6× 64 2.4k
Ursula M. Scharler South Africa 20 114 0.2× 102 0.2× 633 1.0× 536 0.9× 576 1.3× 57 1.4k

Countries citing papers authored by Milan Straškraba

Since Specialization
Citations

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

Fields of papers citing papers by Milan Straškraba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milan Straškraba

This figure shows the co-authorship network connecting the top 25 collaborators of Milan Straškraba. A scholar is included among the top collaborators of Milan Straškraba 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 Milan Straškraba. Milan Straškraba 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.
Straškraba, Milan, Sven Erik Jørgensen, & Bernard C. Patten. (2014). Ecosystems emerging: 6. Differentiation. Ecological Modelling. 278. 29–51. 2 indexed citations
2.
Fath, Brian D., Sven Erik Jørgensen, Bernard C. Patten, & Milan Straškraba. (2004). Ecosystem growth and development. Biosystems. 77(1-3). 213–228. 129 indexed citations
3.
Han, Bo‐Ping & Milan Straškraba. (2001). Control Mechanisms of Diel Vertical Migration: Theoretical Assumptions. Journal of Theoretical Biology. 210(3). 305–318. 30 indexed citations
4.
Ray, Santanu, Luděk Berec, Milan Straškraba, & Sven Erik Jørgensen. (2001). Optimization of exergy and implications of body sizes of phytoplankton and zooplankton in an aquatic ecosystem model. Ecological Modelling. 140(3). 219–234. 56 indexed citations
5.
Jørgensen, Sven Erik, Bernard C. Patten, & Milan Straškraba. (2000). Ecosystems emerging:. Ecological Modelling. 126(2-3). 249–284. 151 indexed citations
6.
Bo-ping, Han, Joan Armengol, Juan Carlos García, et al.. (2000). The thermal structure of Sau Reservoir (NE: Spain): a simulation approach. Ecological Modelling. 125(2-3). 109–122. 81 indexed citations
7.
Straškraba, Milan, et al.. (1999). Reanalysis of Models and an Improved Model of Biomass Size Spectra. International Review of Hydrobiology. 84(3). 207–231. 7 indexed citations
8.
Straškraba, Milan, Sven Erik Jørgensen, & Bernard C. Patten. (1999). Ecosystems emerging: 2. Dissipation. Ecological Modelling. 117(1). 3–39. 42 indexed citations
9.
Straškraba, Milan. (1996). Ecotechnological methods for managing non-point source pollution in watersheds, lakes and reservoirs. Water Science & Technology. 33(4-5). 73–80. 3 indexed citations
10.
Straškraba, Milan. (1994). Lampert, W., Sommer, U.: Limnoökologie. Biologia Plantarum. 36(2). 208–208. 1 indexed citations
11.
Straškraba, Milan. (1994). Vltava cascade as teaching grounds for reservoir limnology. Water Science & Technology. 30(10). 289–297. 15 indexed citations
12.
Straškraba, Milan, et al.. (1993). A mechanistic model of the adaptation of phytoplankton photosynthesis. Bulletin of Mathematical Biology. 55(2). 259–275. 10 indexed citations
13.
Gnauck, Albrecht, et al.. (1990). The use of SONCHES of aquatic ecosystem modelling. Systems Analysis Modelling Simulation. 7(6). 439–458. 1 indexed citations
14.
Randerson, Peter F., William J. Mitsch, Milan Straškraba, & S.E. Jørgensen. (1989). Wetland Modelling. Developments in Environmental Modelling.. Journal of Ecology. 77(1). 314–314. 12 indexed citations
15.
Straškraba, Milan, et al.. (1985). Spectral Analysis of the Automatically Recorded Data from Slapy Reservoir, Czechoslovakia. Internationale Revue der gesamten Hydrobiologie und Hydrographie. 70(1). 27–46. 5 indexed citations
16.
Straškraba, Milan. (1982). Aquatic ecosystems. An Operational research approach. Ecological Modelling. 17(3-4). 319–321. 3 indexed citations
17.
Straškraba, Milan. (1979). Natural control mechanisms in models of aquatic ecosystems. Ecological Modelling. 6(4). 305–321. 37 indexed citations
18.
Straškraba, Milan, et al.. (1968). Sur une nouvelle sous-espèce de Niphargus jovanovici Karaman (Crustacea, Amphipoda, Gammaridae) de Dijon, France. International Journal of Speleology. 3(1/2). 55–62. 1 indexed citations
19.
Straškraba, Milan, et al.. (1966). Contribution to the Problem of Food Competition Among the Sculpin, Minnow and Brown-Trout. Journal of Animal Ecology. 35(2). 303–303. 26 indexed citations
20.
Straškraba, Milan. (1966). Taxonomical studies on Czechoslovak Conchostraca. III, family Leptestheriidae. Hydrobiologia. 27(3-4). 571–589. 23 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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