Caroline M. DeLong

458 total citations
42 papers, 347 citations indexed

About

Caroline M. DeLong is a scholar working on Ecology, Oceanography and Developmental Biology. According to data from OpenAlex, Caroline M. DeLong has authored 42 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Ecology, 16 papers in Oceanography and 12 papers in Developmental Biology. Recurrent topics in Caroline M. DeLong's work include Marine animal studies overview (23 papers), Underwater Acoustics Research (16 papers) and Animal Vocal Communication and Behavior (12 papers). Caroline M. DeLong is often cited by papers focused on Marine animal studies overview (23 papers), Underwater Acoustics Research (16 papers) and Animal Vocal Communication and Behavior (12 papers). Caroline M. DeLong collaborates with scholars based in United States and Russia. Caroline M. DeLong's co-authors include Whitlow W. L. Au, James A. Simmons, Heidi E. Harley, Donald S. Mowlds, Sarah A. Stamper, Paul E. Nachtigall, Eduardo Mercado, Herbert L. Roitblat, Marlee Breese and Stuart Ibsen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Caroline M. DeLong

39 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caroline M. DeLong United States 10 213 131 111 89 46 42 347
Caroline Casey United States 9 221 1.0× 210 1.6× 101 0.9× 86 1.0× 33 0.7× 26 336
Mai Sakai Japan 10 279 1.3× 178 1.4× 60 0.5× 68 0.8× 49 1.1× 26 366
Heidi E. Harley United States 13 270 1.3× 179 1.4× 72 0.6× 98 1.1× 88 1.9× 28 437
Mandy Keogh United States 13 361 1.7× 98 0.7× 64 0.6× 121 1.4× 42 0.9× 29 511
Kathleen M. Dudzinski United States 15 533 2.5× 337 2.6× 87 0.8× 88 1.0× 25 0.5× 47 601
Robert Gisiner United States 11 393 1.8× 175 1.3× 68 0.6× 245 2.8× 19 0.4× 22 531
David A. Helweg United States 13 408 1.9× 242 1.8× 69 0.6× 297 3.3× 34 0.7× 37 504
Mark J. Xitco United States 10 237 1.1× 143 1.1× 53 0.5× 49 0.6× 14 0.3× 15 328
Colleen Reichmuth Kastak United States 7 160 0.8× 80 0.6× 46 0.4× 106 1.2× 70 1.5× 15 332
Wendi Fellner United States 8 181 0.8× 120 0.9× 66 0.6× 47 0.5× 27 0.6× 16 362

Countries citing papers authored by Caroline M. DeLong

Since Specialization
Citations

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

Fields of papers citing papers by Caroline M. DeLong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline M. DeLong. 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 Caroline M. DeLong. The network helps show where Caroline M. DeLong may publish in the future.

Co-authorship network of co-authors of Caroline M. DeLong

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline M. DeLong. A scholar is included among the top collaborators of Caroline M. DeLong 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 Caroline M. DeLong. Caroline M. DeLong 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.
Cantlon, Jessica F., et al.. (2025). Cognitive bridge between geometric and numerical learning in monkeys. Proceedings of the National Academy of Sciences. 122(34). e2502101122–e2502101122. 1 indexed citations
2.
Cantlon, Jessica F., et al.. (2025). Hand Preferences in Olive Baboons (Papio anubis) During Cognitive Performance on Match‐to‐Sample Tasks and Natural Behaviors. American Journal of Primatology. 87(1). e23728–e23728.
3.
DeLong, Caroline M., et al.. (2025). Visual perception of rotated chromatic and achromatic 3D stimuli in goldfish (Carassius auratus). Learning & Behavior. 54(1). 37–59.
4.
Cantlon, Jessica F., et al.. (2024). Computational Thinking During a Short, Authentic, Interdisciplinary STEM Experience for Elementary Students. 7(3). 425–443. 3 indexed citations
5.
DeLong, Caroline M., et al.. (2023). Investigating Object Recognition Memory Using Sensory Enrichment with a North American River Otter (Lontra canadensis). SHILAP Revista de lepidopterología. 4(2). 335–363. 1 indexed citations
6.
DeLong, Caroline M., et al.. (2019). Visual perception in a bottlenose dolphin (Tursiops truncatus): Successful recognition of 2-D objects rotated in the picture and depth planes.. Journal of comparative psychology. 134(2). 180–196. 4 indexed citations
7.
DeLong, Caroline M., et al.. (2018). North American river otters (Lontra canadensis) discriminate between 2D objects varying in shape and color. Learning & Behavior. 47(1). 91–104. 2 indexed citations
8.
DeLong, Caroline M., et al.. (2018). Visual perception of planar-rotated 2D objects in goldfish (Carassius auratus). Behavioural Processes. 157. 263–278. 3 indexed citations
10.
DeLong, Caroline M.. (2016). Human listening experiments provide insight into cetacean auditory perception. The Journal of the Acoustical Society of America. 140(4_Supplement). 3297–3297. 1 indexed citations
11.
DeLong, Caroline M., et al.. (2016). Small and large number discrimination in goldfish (Carassius auratus) with extensive training. Behavioural Processes. 141(Pt 2). 172–183. 33 indexed citations
12.
Wisniewski, Matthew G., et al.. (2013). Exploring the capacity of neural networks to recognize objects from dolphin echoes across multiple orientations. The Journal of the Acoustical Society of America. 133(5_Supplement). 3405–3405. 1 indexed citations
14.
DeLong, Caroline M., et al.. (2011). The effect of musical training on auditory perception. The Journal of the Acoustical Society of America. 130(4_Supplement). 2428–2428.
15.
Mowlds, Donald S., et al.. (2009). Interpulse interval modulation by echolocating big brown bats (Eptesicus fuscus) in different densities of obstacle clutter. Journal of Comparative Physiology A. 195(6). 603–617. 70 indexed citations
16.
Harley, Heidi E. & Caroline M. DeLong. (2008). Echoic Object Recognition by the Bottlenose Dolphin. SHILAP Revista de lepidopterología. 3. 16 indexed citations
17.
DeLong, Caroline M., et al.. (2008). Evidence for spatial representation of object shape by echolocating bats (Eptesicus fuscus). The Journal of the Acoustical Society of America. 123(6). 4582–4598. 26 indexed citations
18.
DeLong, Caroline M., et al.. (2007). Human listeners provide insights into echo features used by dolphins (Tursiops truncatus) to discriminate among objects.. Journal of comparative psychology. 121(3). 306–319. 15 indexed citations
19.
DeLong, Caroline M., Whitlow W. L. Au, & Sarah A. Stamper. (2007). Echo features used by human listeners to discriminate among objects that vary in material or wall thickness: Implications for echolocating dolphins. The Journal of the Acoustical Society of America. 121(1). 605–617. 30 indexed citations
20.
DeLong, Caroline M., Whitlow W. L. Au, & Heidi E. Harley. (2000). Acoustic analysis of objects ensonified by a bottlenose dolphin during a cross-modal matching task. The Journal of the Acoustical Society of America. 108(5_Supplement). 2635–2635. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026