Detlef Walde

410 total citations
9 papers, 278 citations indexed

About

Detlef Walde is a scholar working on Paleontology, Geochemistry and Petrology and Artificial Intelligence. According to data from OpenAlex, Detlef Walde has authored 9 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Paleontology, 4 papers in Geochemistry and Petrology and 3 papers in Artificial Intelligence. Recurrent topics in Detlef Walde's work include Paleontology and Stratigraphy of Fossils (5 papers), Geological and Geochemical Analysis (3 papers) and Geochemistry and Geologic Mapping (3 papers). Detlef Walde is often cited by papers focused on Paleontology and Stratigraphy of Fossils (5 papers), Geological and Geochemical Analysis (3 papers) and Geochemistry and Geologic Mapping (3 papers). Detlef Walde collaborates with scholars based in Brazil, Germany and Spain. Detlef Walde's co-authors include Carlos José Souza de Alvarenga, Roland Trompette, Bernhard Bühn, Gila Merschel, Elton Luiz Dantas, Michael Bau, Günter Gunkel, João Willy Corrêa Rosa, J. Hoefs and Georg Müller and has published in prestigious journals such as Environmental Earth Sciences, Journal of South American Earth Sciences and Episodes.

In The Last Decade

Detlef Walde

9 papers receiving 266 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Detlef Walde Brazil 6 145 100 79 47 39 9 278
Kyoko Yamaoka Japan 10 166 1.1× 51 0.5× 139 1.8× 88 1.9× 19 0.5× 19 367
H. Ishiga Japan 12 150 1.0× 109 1.1× 106 1.3× 68 1.4× 129 3.3× 23 440
Qilian Wang China 9 218 1.5× 58 0.6× 85 1.1× 153 3.3× 16 0.4× 17 348
Aleksandra M. Mloszewska Canada 9 235 1.6× 208 2.1× 102 1.3× 54 1.1× 10 0.3× 11 425
Yingzeng Gong China 11 160 1.1× 69 0.7× 148 1.9× 134 2.9× 12 0.3× 12 348
Ibrahim M. Ghandour Saudi Arabia 11 162 1.1× 74 0.7× 109 1.4× 120 2.6× 28 0.7× 47 408
Kohen W. Bauer Canada 13 220 1.5× 191 1.9× 56 0.7× 93 2.0× 13 0.3× 26 421
Andrew O’Neill Canada 4 148 1.0× 123 1.2× 26 0.3× 60 1.3× 16 0.4× 4 340
Zhen Zeng China 14 142 1.0× 63 0.6× 117 1.5× 90 1.9× 11 0.3× 26 389
B. L. Lewis United States 6 174 1.2× 93 0.9× 30 0.4× 83 1.8× 32 0.8× 9 459

Countries citing papers authored by Detlef Walde

Since Specialization
Citations

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

Fields of papers citing papers by Detlef Walde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Detlef Walde

This figure shows the co-authorship network connecting the top 25 collaborators of Detlef Walde. A scholar is included among the top collaborators of Detlef Walde 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 Detlef Walde. Detlef Walde is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
2.
Xiao, Shuhai, et al.. (2018). Field workshop on the Ediacaran Corumbá Group of southwestern Brazil. Episodes. 41(3). 207–211. 2 indexed citations
3.
Merschel, Gila, et al.. (2015). Tracing and tracking wastewater-derived substances in freshwater lakes and reservoirs: Anthropogenic gadolinium and geogenic REEs in Lake Paranoá, Brasilia. Comptes Rendus Géoscience. 347(5-6). 284–293. 81 indexed citations
4.
Hoover, Donald B., et al.. (2015). Surface source of Coromandel diamonds (Minas Gerais State, Brazil) and their possible origin from the Serra Negra/Salitre Supervolcano. Neues Jahrbuch für Geologie und Paläontologie - Abhandlungen. 277(2). 237–250. 1 indexed citations
5.
Kaufman, Alan J., Patricia Vickers-Rich, Detlef Walde, Claudio Gaucher, & Paulo César Boggiani. (2014). Corumba Meeting 2013: The Neoproterozoic Paraguay Fold Belt (Brazil): Glaciation, iron-manganese formation and biota, an IGCP Workshop and Field Excursion on the Ediacaran system. Episodes. 37(1). 71–73. 3 indexed citations
6.
Lorz, Carsten, Gudrun Abbt‐Braun, Frank G. A. de Bakker, et al.. (2011). Challenges of an integrated water resource management for the Distrito Federal, Western Central Brazil: climate, land-use and water resources. Environmental Earth Sciences. 65(5). 1575–1586. 38 indexed citations
7.
Gunkel, Günter, et al.. (2003). The environmental and operational impacts of Curuá‐Una, a reservoir in the Amazon region of Pará, Brazil. Lakes & Reservoirs Science Policy and Management for Sustainable Use. 8(3-4). 201–216. 32 indexed citations
8.
Trompette, Roland, Carlos José Souza de Alvarenga, & Detlef Walde. (1998). Geological evolution of the Neoproterozoic Corumbágraben system (Brazil). Depositional context of the stratified Fe and Mn ores of the Jacadigo Group. Journal of South American Earth Sciences. 11(6). 587–597. 90 indexed citations
9.
Hoefs, J., Georg Müller, Kristof Schuster, & Detlef Walde. (1987). The Fe Mn ore deposits of Urucum, Brazil: An oxygen isotope study. Chemical Geology Isotope Geoscience section. 65(3-4). 311–319. 20 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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