Leonard Krishtalka

1.4k total citations
50 papers, 826 citations indexed

About

Leonard Krishtalka is a scholar working on Paleontology, Ecology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Leonard Krishtalka has authored 50 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Paleontology, 18 papers in Ecology and 11 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Leonard Krishtalka's work include Evolution and Paleontology Studies (29 papers), Bat Biology and Ecology Studies (10 papers) and Animal Ecology and Behavior Studies (7 papers). Leonard Krishtalka is often cited by papers focused on Evolution and Paleontology Studies (29 papers), Bat Biology and Ecology Studies (10 papers) and Animal Ecology and Behavior Studies (7 papers). Leonard Krishtalka collaborates with scholars based in United States, Germany and United Kingdom. Leonard Krishtalka's co-authors include Richard K. Stucky, Philip S. Humphrey, K. Christopher Beard, Craig C. Black, Jeffrey H. Schwartz, Jorge Soberón, A. Townsend Peterson, Takeshi Setoguchi, Mary R. Dawson and Robert Robbins and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and BioScience.

In The Last Decade

Leonard Krishtalka

47 papers receiving 747 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leonard Krishtalka United States 18 492 284 256 237 143 50 826
Marcelo F. Tejedor Argentina 16 656 1.3× 352 1.2× 168 0.7× 316 1.3× 31 0.2× 41 893
Richard K. Stucky United States 15 535 1.1× 194 0.7× 221 0.9× 162 0.7× 24 0.2× 39 676
Kari Lintulaakso Finland 10 539 1.1× 237 0.8× 412 1.6× 59 0.2× 113 0.8× 15 831
Bryan Patterson United States 13 895 1.8× 338 1.2× 291 1.1× 174 0.7× 22 0.2× 21 1.1k
Samantha S. B. Hopkins United States 14 613 1.2× 298 1.0× 454 1.8× 48 0.2× 139 1.0× 39 934
Prince Kaleme United States 11 356 0.7× 98 0.3× 349 1.4× 151 0.6× 134 0.9× 15 741
Silvia Castiglione Italy 18 437 0.9× 148 0.5× 220 0.9× 83 0.4× 142 1.0× 50 784
Joshua X. Samuels United States 14 787 1.6× 347 1.2× 638 2.5× 69 0.3× 129 0.9× 36 1.2k
Cástor Cartelle Brazil 22 1.0k 2.1× 588 2.1× 384 1.5× 286 1.2× 37 0.3× 44 1.3k
Alessandro Mondanaro Italy 17 438 0.9× 131 0.5× 207 0.8× 94 0.4× 127 0.9× 50 802

Countries citing papers authored by Leonard Krishtalka

Since Specialization
Citations

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

Fields of papers citing papers by Leonard Krishtalka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonard Krishtalka

This figure shows the co-authorship network connecting the top 25 collaborators of Leonard Krishtalka. A scholar is included among the top collaborators of Leonard Krishtalka 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 Leonard Krishtalka. Leonard Krishtalka 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.
Robbins, Robert, Leonard Krishtalka, & John Wooley. (2016). Advances in biodiversity: metagenomics and the unveiling of biological dark matter. Standards in Genomic Sciences. 11(1). 69–69. 18 indexed citations
2.
Peterson, A. Townsend, Jorge Soberón, & Leonard Krishtalka. (2015). A global perspective on decadal challenges and priorities in biodiversity informatics. BMC Ecology. 15(1). 15–15. 36 indexed citations
3.
Wieczorek, John, Olaf Bánki, Stan Blum, et al.. (2014). Meeting Report: GBIF hackathon-workshop on Darwin Core and sample data (22-24 May 2013). Standards in Genomic Sciences. 9(3). 585–598. 8 indexed citations
4.
Robbins, Robert, Guy Cochrane, Neil Davies, et al.. (2012). RCN4GSC Workshop Report: Modeling a Testbed for Managing Data at the Interface of Biodiversity and (Meta)Genomics, April 2011. Standards in Genomic Sciences. 7(1). 153–158.
5.
Robbins, Robert, Linda Amaral‐Zettler, Holly M. Bik, et al.. (2012). RCN4GSC Workshop Report: Managing Data at the Interface of Biodiversity and (Meta)Genomics, March 2011. Standards in Genomic Sciences. 7(1). 159–165. 3 indexed citations
6.
Hobern, Donald, Dora Ann Lange Canhos, Grégoire Dubois, et al.. (2012). Global Biodiversity Informatics Outlook: Delivering biodiversity knowledge in the information age. Global Biodiversity Information Facility. 33 indexed citations
7.
Beard, K. Christopher, et al.. (1992). A primitive vespertilionoid bat from the early Eocene of central Wyoming. Zenodo (CERN European Organization for Nuclear Research). 13 indexed citations
9.
Stucky, Richard K. & Leonard Krishtalka. (1991). The Application of Geologic Remote Sensing to Vertebrate Biostratigraphy: General Results from the Wind River Basin, Wyoming. The Mountain Geologist. 28. 5 indexed citations
10.
Beard, K. Christopher, Leonard Krishtalka, & Richard K. Stucky. (1991). First skulls of the Early Eocene primate Shoshonius cooperi and the anthropoid-tarsier dichotomy. Nature. 349(6304). 64–67. 51 indexed citations
11.
Dawson, Mary R., Leonard Krishtalka, & Richard K. Stucky. (1990). REVISION OF THE WIND RIVER FAUNAS EARLY EOCENE OF CENTRAL WYOMING USA PART 9. THE OLDEST KNOWN HYSTRICOMORPHOUS RODENT MAMMALIA RODENTIA. Annals of Carnegie Museum. 59(2). 135–148. 6 indexed citations
12.
Krishtalka, Leonard. (1989). Dinosaur plots & other intrigues in natural history. 3 indexed citations
13.
Stucky, Richard K., et al.. (1987). Analysis of Eocene depositional environments - Preliminary TM and TIMS results, Wind River Basin, Wyoming. NASA Technical Reports Server (NASA). 37(5). 347–8. 2 indexed citations
14.
Krishtalka, Leonard, et al.. (1982). Oligocene multituberculates (Mammalia; Allotheria); youngest known record. Journal of Paleontology. 56(3). 791–794. 16 indexed citations
15.
Stucky, Richard K. & Leonard Krishtalka. (1982). Revision of the Wind River faunas, early Eocene of central Wyoming. Part 1. Introduction and Multituberculata. Annals of Carnegie Museum. 51. 39–56. 8 indexed citations
16.
Black, Craig C., Leonard Krishtalka, & Nikos Solounias. (1980). Mammalian fossils of Samos and Pikermi. Part 1. The Turolian rodents and insectivores of Samos. Annals of Carnegie Museum. 49. 359–378. 18 indexed citations
17.
Krishtalka, Leonard. (1979). Paleontology and geology of the Badwater Creek area, central Wyoming. Part 18. Revision of Late Eocene Hyopsodus. Annals of Carnegie Museum. 48. 377–389. 4 indexed citations
18.
Krishtalka, Leonard. (1977). Early Eocene Euramerican Insectivora. Geobios. 10. 135–139. 2 indexed citations
19.
Krishtalka, Leonard. (1976). North American Nyctitheriidae (Mammalia, Insectivora). Annals of Carnegie Museum. 46. 7–28. 22 indexed citations
20.
Schwartz, Jeffrey H. & Leonard Krishtalka. (1976). The lower antemolar teeth of Litolestes ignotus, a Late Paleocene erinaceid (Mammalia, Insectivora). Annals of Carnegie Museum. 46. 1–6. 11 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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