Mariam Honarmand

439 total citations
10 papers, 353 citations indexed

About

Mariam Honarmand is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecology and Developmental Biology. According to data from OpenAlex, Mariam Honarmand has authored 10 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Ecology, Evolution, Behavior and Systematics, 8 papers in Ecology and 7 papers in Developmental Biology. Recurrent topics in Mariam Honarmand's work include Animal Behavior and Reproduction (10 papers), Animal Vocal Communication and Behavior (7 papers) and Avian ecology and behavior (6 papers). Mariam Honarmand is often cited by papers focused on Animal Behavior and Reproduction (10 papers), Animal Vocal Communication and Behavior (7 papers) and Avian ecology and behavior (6 papers). Mariam Honarmand collaborates with scholars based in Germany, Netherlands and Mexico. Mariam Honarmand's co-authors include Marc Naguib, E. Tobias Krause, Constantino Macı́as Garcı́a, Diego Gil, Wolfgang Goymann, Constance Scharff, Iris Adam, Katharina Riebel, Christopher K. Thompson and Silke Kipper and has published in prestigious journals such as PLoS ONE, Animal Behaviour and Behavioral Ecology.

In The Last Decade

Mariam Honarmand

10 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mariam Honarmand Germany 8 253 245 155 33 27 10 353
Charlotte Récapet France 7 153 0.6× 128 0.5× 111 0.7× 41 1.2× 23 0.9× 14 265
Renee D. Godard United States 11 378 1.5× 236 1.0× 275 1.8× 56 1.7× 28 1.0× 16 482
Matthew I. M. Louder United States 12 205 0.8× 218 0.9× 142 0.9× 28 0.8× 15 0.6× 24 310
E. de Ridder Belgium 8 360 1.4× 160 0.7× 128 0.8× 37 1.1× 22 0.8× 11 399
Doris J. Watt United States 7 265 1.0× 204 0.8× 100 0.6× 42 1.3× 30 1.1× 12 389
Andrew S. Dolby United States 8 278 1.1× 225 0.9× 97 0.6× 30 0.9× 18 0.7× 8 405
Eszter Szász Hungary 11 248 1.0× 150 0.6× 67 0.4× 25 0.8× 29 1.1× 27 301
Tereza Petrusková Czechia 14 335 1.3× 261 1.1× 375 2.4× 15 0.5× 20 0.7× 31 496
Deborah Buitron United States 11 326 1.3× 338 1.4× 106 0.7× 42 1.3× 26 1.0× 21 452
Maria E. Pereyra United States 13 356 1.4× 428 1.7× 93 0.6× 20 0.6× 56 2.1× 23 537

Countries citing papers authored by Mariam Honarmand

Since Specialization
Citations

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

Fields of papers citing papers by Mariam Honarmand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariam Honarmand

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

All Works

10 of 10 papers shown
1.
Honarmand, Mariam, E. Tobias Krause, & Marc Naguib. (2017). Implications of nutritional stress as nestling or fledgling on subsequent attractiveness and fecundity in zebra finches (Taeniopygia guttata). PeerJ. 5. e3628–e3628. 6 indexed citations
2.
Honarmand, Mariam, et al.. (2015). Early developmental stress negatively affects neuronal recruitment to avian song system nucleusHVC. Developmental Neurobiology. 76(1). 107–118. 9 indexed citations
3.
Honarmand, Mariam, Katharina Riebel, & Marc Naguib. (2015). Effects of conditions during adolescence on male song learning and female preferences in zebra finches. Socio-Environmental Systems Modeling. 55–55. 1 indexed citations
4.
Honarmand, Mariam, Katharina Riebel, & Marc Naguib. (2015). Nutrition and peer group composition in early adolescence: impacts on male song and female preference in zebra finches. Animal Behaviour. 107. 147–158. 27 indexed citations
5.
Adam, Iris, Constance Scharff, & Mariam Honarmand. (2014). Who is Who? Non-invasive Methods to Individually Sex and Mark Altricial Chicks. Journal of Visualized Experiments. 25 indexed citations
6.
Gil, Diego, et al.. (2014). Birds living near airports advance their dawn chorus and reduce overlap with aircraft noise. Behavioral Ecology. 26(2). 435–443. 111 indexed citations
7.
Adam, Iris, Constance Scharff, & Mariam Honarmand. (2014). Who is Who? Non-invasive Methods to Individually Sex and Mark Altricial Chicks. Journal of Visualized Experiments. 10 indexed citations
8.
Krause, E. Tobias, Mariam Honarmand, & Marc Naguib. (2011). Zebra finch nestlings beg more under better nutritional conditions. Behaviour. 148(11-13). 1239–1255. 13 indexed citations
9.
Honarmand, Mariam, Wolfgang Goymann, & Marc Naguib. (2010). Stressful Dieting: Nutritional Conditions but Not Compensatory Growth Elevate Corticosterone Levels in Zebra Finch Nestlings and Fledglings. PLoS ONE. 5(9). e12930–e12930. 57 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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