Mark White

583 citations
24 papers · 429 · h-index 10

Impact in

  • Paleontology top 10%
    • Archaeology and ancient environmental studies
    • Pleistocene-Era Hominins and Archaeology

Papers in

Mark White

21 papers receiving 409 citations

Peers

Mark White
Comparison fields: 5 of 90
  • Paleontology 77
  • Anthropology 103
  • Infectious Diseases 166
  • Health Informatics 9
  • Archeology 48
Replace Angela M. Gernaey with:
Angela M. Gernaey United Kingdom
Lan‐Hai Wei China
Zsolt Bereczki Hungary
Malin Holst United Kingdom
Connie J. Kolman United States
Caroline Arcini Sweden
Elena R. Llop Chile
Christoph Rinne Germany
Peter B. Campbell Australia
Mark White relative to Angela M. Gernaey United Kingdom Angela M. Gernaey's profile →
Citations per field
00.5×5×10×14×
Angela M. Gernaey · 1×
Citations per year

Countries citing papers authored by Mark White

Since Specialization
Citations

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

Fields of papers citing papers by Mark White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark White, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark White Line = papers co-authored together Mark White links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201663
2 201451
3 201050
4 201650
5 201144
6 201242
7 201735
8 200326
9 202225
10 199614
11 19997
12 19925
13 19994
14
Early "Homo sapiens" in Kent´s Cavern: The whats and whens of the KC4 maxilla
20122
15 20242
16 20112
17
State and Public School Life And Health Insurance Board Minutes
20131
18 20241
19 20021
20 20181

About Mark White

Mark White is a scholar working on Anthropology, Paleontology, Infectious Diseases, Atmospheric Science and Earth-Surface Processes, having authored 24 papers that have together received 429 indexed citations. Recurring topics across this work include Pleistocene-Era Hominins and Archaeology (8 papers), Geology and Paleoclimatology Research (5 papers), Archaeology and ancient environmental studies (5 papers), Tuberculosis Research and Epidemiology (3 papers), Mycobacterium research and diagnosis (3 papers), Cuban History and Society (3 papers), Geological formations and processes (2 papers) and Intelligence, Security, War Strategy (2 papers). The work is most often cited by research in Paleontology (77 citations), Anthropology (103 citations), Infectious Diseases (166 citations), Health Informatics (9 citations) and Archeology (48 citations). Mark White has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Danielle Schreve, Alexander R. Horswill, Thomas C. Zahrt, Hongjun He, Paul Pettitt, William Michael Nauseef, Jeffrey M. Boyd, Daniel J. Bretl, Patrick M. Schlievert and David Kyle Meyerholz. Their work appears in journals such as Infection and Immunity, Diplomatic History, mSphere, Journal of Strategic Studies and Journal of American History.

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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