This map shows the geographic impact of research published in KIVA. 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 papers published in KIVA with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites KIVA more than expected).
This network shows the impact of papers published in KIVA. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in KIVA.
About KIVA
The 1.1k papers published in KIVA in the last decades have received a total of 7.3k indexed citations . Papers published in KIVA usually cover Paleontology (605 papers), Space and Planetary Science (59 papers), Archeology (457 papers), Anthropology (525 papers) and Archeology (42 papers) specifically the topics of Archaeology and ancient environmental studies (604 papers), Archaeology and Natural History (292 papers), Archaeological and Geological Studies (289 papers), Indigenous Cultures and History (168 papers), Historical and Architectural Studies (94 papers), Cultural Heritage Materials Analysis (90 papers), Latin American history and culture (83 papers) and Pleistocene-Era Hominins and Archaeology (76 papers). The most active scholars publishing in KIVA are Frank E. Bayham, William D. Lipe, Stephen H. Lekson, Barbara J. Roth, Randall H. McGuire, Paul E. Minnis, Emil W. Haury, David E. Doyel, Jenny L. Adams and Richard H. Wilshusen.
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.