Daniel Martínez

30 papers receiving 845 citations

Peers

Daniel Martínez
Comparison fields: 5 of 60
  • Nature and Landscape Conservation 568
  • Ecological Modeling 148
  • Ecology, Evolution, Behavior and Systematics 456
  • Ecology 341
  • Global and Planetary Change 147
Replace Giulio Valentino Dalla Riva with:
Giulio Valentino Dalla Riva New Zealand
Lakshmi Narayan United States
Niklas Wengström Sweden
Zhigao Wang China
Thomas Koffel United States
Michael J. Mossman United States
Boris A. Tinoco Ecuador
Robin E. Snyder United States
Stacey Forsyth United States
Robin C. Whytock United Kingdom
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Citations per year

Countries citing papers authored by Daniel Martínez

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Martínez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Martínez, 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 Daniel Martínez Line = papers co-authored together Daniel Martínez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012113
2 2012108
3 201893
4 201386
5 201267
6 201460
7 201838
8 201729
9 201625
10 201525
11 201824
12 201624
13 201322
14 201420
15 201018
16 202016
17 202214
18 201414
19 201411
20 201911

About Daniel Martínez

Daniel Martínez is a scholar working on Nature and Landscape Conservation, Ecology, Evolution, Behavior and Systematics, Ecology, Global and Planetary Change and Atomic and Molecular Physics, and Optics, having authored 33 papers that have together received 862 indexed citations. Recurring topics across this work include Ecology and Vegetation Dynamics Studies (19 papers), Plant and animal studies (16 papers), Animal Ecology and Behavior Studies (9 papers), Quantum Information and Cryptography (6 papers), Land Use and Ecosystem Services (4 papers), Quantum Computing Algorithms and Architecture (4 papers), Quantum Mechanics and Applications (3 papers) and Species Distribution and Climate Change (3 papers). The work is most often cited by research in Nature and Landscape Conservation (568 citations), Ecological Modeling (148 citations), Ecology, Evolution, Behavior and Systematics (456 citations), Ecology (341 citations) and Global and Planetary Change (147 citations). Daniel Martínez has collaborated with scholars based in Spain, Chile and Argentina. Frequent co-authors include Daniel Garcı́a, Juan M. Morales, José M. Herrera, Javier Rodríguez‐Pérez, Tomás A. Carlo, Jason M. Tylianakis, Jason M. Gleditsch, Daniel B. Stouffer, Isabel Donoso and G. Lima. Their work appears in journals such as Basic and Applied Ecology, Oikos, Physical Review Letters, Ecology and Physical review. A.

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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