Donald E. Kroodsma

8.1k total citations · 2 hit papers
93 papers, 5.9k citations indexed

About

Donald E. Kroodsma is a scholar working on Developmental Biology, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, Donald E. Kroodsma has authored 93 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Developmental Biology, 57 papers in Ecology, Evolution, Behavior and Systematics and 48 papers in Ecology. Recurrent topics in Donald E. Kroodsma's work include Animal Vocal Communication and Behavior (70 papers), Animal Behavior and Reproduction (54 papers) and Marine animal studies overview (30 papers). Donald E. Kroodsma is often cited by papers focused on Animal Vocal Communication and Behavior (70 papers), Animal Behavior and Reproduction (54 papers) and Marine animal studies overview (30 papers). Donald E. Kroodsma collaborates with scholars based in United States, Venezuela and Brazil. Donald E. Kroodsma's co-authors include Bruce E. Byers, Edward H. Miller, Douglas A. Nelson, Roberta Pickert, Wan‐Chun Liu, Masakazu Konishi, Eben Goodale, Steven L. Johnson, Hans‐Rudolf Güttinger and Manfred Gahr and has published in prestigious journals such as Nature, Science and Ecology.

In The Last Decade

Donald E. Kroodsma

91 papers receiving 5.4k citations

Hit Papers

Ecology and Evolution of Acoustic Communication in Birds. 1989 2026 2001 2013 1997 1989 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donald E. Kroodsma United States 38 4.8k 4.6k 2.8k 412 324 93 5.9k
Eugene S. Morton United States 36 3.1k 0.7× 4.1k 0.9× 3.4k 1.2× 490 1.2× 488 1.5× 109 6.0k
William A. Searcy United States 49 5.0k 1.0× 6.9k 1.5× 3.8k 1.3× 645 1.6× 508 1.6× 142 8.1k
Susan Peters United States 37 3.7k 0.8× 3.9k 0.8× 2.2k 0.8× 245 0.6× 513 1.6× 77 5.0k
Michael D. Beecher United States 46 4.5k 0.9× 4.7k 1.0× 2.6k 0.9× 371 0.9× 757 2.3× 112 6.4k
P.J.B. Slater United Kingdom 32 3.1k 0.6× 2.7k 0.6× 2.2k 0.8× 296 0.7× 417 1.3× 67 4.2k
Peter K. McGregor United Kingdom 43 3.7k 0.8× 4.5k 1.0× 2.5k 0.9× 545 1.3× 667 2.1× 121 6.3k
Myron Charles Baker United States 39 2.8k 0.6× 3.0k 0.6× 2.1k 0.7× 582 1.4× 262 0.8× 114 4.2k
Robert E. Lemon Canada 33 2.0k 0.4× 2.1k 0.5× 1.4k 0.5× 184 0.4× 136 0.4× 80 2.9k
Dietmar Todt Germany 36 2.5k 0.5× 2.1k 0.5× 1.2k 0.4× 146 0.4× 707 2.2× 87 3.4k
Vincent M. Janik United Kingdom 39 4.1k 0.9× 1.7k 0.4× 4.5k 1.6× 379 0.9× 749 2.3× 101 6.0k

Countries citing papers authored by Donald E. Kroodsma

Since Specialization
Citations

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

Fields of papers citing papers by Donald E. Kroodsma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donald E. Kroodsma. 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 Donald E. Kroodsma. The network helps show where Donald E. Kroodsma may publish in the future.

Co-authorship network of co-authors of Donald E. Kroodsma

This figure shows the co-authorship network connecting the top 25 collaborators of Donald E. Kroodsma. A scholar is included among the top collaborators of Donald E. Kroodsma 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 Donald E. Kroodsma. Donald E. Kroodsma 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.
Saranathan, Vinodkumar, et al.. (2007). Genetic evidence supports song learning in the three‐wattled bellbirdProcnias tricarunculata(Cotingidae). Molecular Ecology. 16(17). 3689–3702. 64 indexed citations
2.
Liu, Wan‐Chun & Donald E. Kroodsma. (2007). DAWN AND DAYTIME SINGING BEHAVIOR OF CHIPPING SPARROWS (SPIZELLA PASSERINA). The Auk. 124(1). 44–44. 34 indexed citations
3.
Liu, Wan‐Chun & Donald E. Kroodsma. (2007). Dawn and Daytime Singing Behavior of Chipping Sparrows (Spizella Passerina). The Auk. 124(1). 44–52. 13 indexed citations
4.
Liu, Wan‐Chun & Donald E. Kroodsma. (2006). Song Learning by Chipping Sparrows: When, Where, and From Whom. Ornithological Applications. 108(3). 509–517. 17 indexed citations
5.
Kroodsma, Donald E. & Jared Verner. (2005). Marsh Wren (Cistothorus palustris). The Birds of North America Online. 9 indexed citations
6.
Hejl, Sallie J., et al.. (2002). Winter Wren (Troglodytes hiemalis). The Birds of North America Online. 5 indexed citations
7.
Kroodsma, Donald E., et al.. (2002). FALKLAND ISLAND SEDGE WRENS (CISTOTHORUS PLATENSIS) IMITATE RATHER THAN IMPROVISE LARGE SONG REPERTOIRES. The Auk. 119(2). 523–523. 16 indexed citations
8.
Airey, David, Donald E. Kroodsma, & Timothy J. DeVoogd. (2000). Differences in the Complexity of Song Tutoring Cause Differences in the Amount Learned and in Dendritic Spine Density in a Songbird Telencephalic Song Control Nucleus. Neurobiology of Learning and Memory. 73(3). 274–281. 22 indexed citations
9.
Kroodsma, Donald E., et al.. (1995). Song Development by Black-Capped Chickadees (Parus atricapillus) and Carolina Chickadees (P. carolinensis). The Auk. 112(1). 29–43. 44 indexed citations
10.
Brenowitz, Eliot A., et al.. (1994). Female marsh wrens do not provide evidence of anatomical specializations of song nuclei for perception of male song. Journal of Neurobiology. 25(2). 197–208. 27 indexed citations
11.
Gahr, Manfred, Hans‐Rudolf Güttinger, & Donald E. Kroodsma. (1993). Estrogen receptors in the avian brain: Survey reveals general distribution and forebrain areas unique to songbirds. The Journal of Comparative Neurology. 327(1). 112–122. 176 indexed citations
12.
Byers, Bruce E. & Donald E. Kroodsma. (1992). Development of two song categories by chestnut-sided warblers. Animal Behaviour. 44(5). 799–810. 28 indexed citations
13.
Kroodsma, Donald E. & Bruce E. Byers. (1991). The Function(s) of Bird Song. American Zoologist. 31(2). 318–328. 218 indexed citations
15.
Kroodsma, Donald E., et al.. (1989). Song‐related brain regions in the red‐winged blackbird are affected by sex and season but not repertoire size. Journal of Neurobiology. 20(3). 139–163. 118 indexed citations
16.
Spector, David A., et al.. (1989). Yellow warblers are able to learn songs and situations in which to use them. Animal Behaviour. 38(4). 723–725. 23 indexed citations
17.
Kroodsma, Donald E.. (1989). Inappropriate experimental designs impede progress in bioacoustic research: A reply. Animal Behaviour. 38(4). 717–719. 30 indexed citations
18.
Kroodsma, Donald E. & Roberta Pickert. (1984). Repertoire size, auditory templates, and selective vocal learning in songbirds. Animal Behaviour. 32(2). 395–399. 76 indexed citations
19.
Kroodsma, Donald E., Edward H. Miller, & Henri Ouellet. (1982). Production, perception, and design features of sounds. Academic Press eBooks. 21 indexed citations
20.
Kroodsma, Donald E., Edward H. Miller, & Henri Ouellet. (1982). Song learning and its consequences. Academic Press eBooks. 36 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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