Marco Sciaini

1.5k citations
3 papers · 932 · 1 hit paper · h-index 3

Impact in

Papers in

Marco Sciaini

3 papers receiving 923 citations

Marco Sciaini's Hit Papers

landscapemetrics : an open‐source R tool to calculate landscape metrics 2019 · 814 citations
8140+2+4Years since publication250500750

Peers

Marco Sciaini
Comparison fields: 5 of 79
  • Ecological Modeling 173
  • Nature and Landscape Conservation 252
  • Ecology 487
  • Global and Planetary Change 391
  • Ecology, Evolution, Behavior and Systematics 150
Replace Maximilian H. K. Hesselbarth with:
Maximilian H. K. Hesselbarth United States
Florencia Sangermano United States
Eric M. Wood United States
Ludovico Frate Italy
Simone Rodrigues de Freitas Brazil
Erica N. Spotswood United States
Kajetan Perzanowski Poland
Patricia N. Manley United States
Rajeev Pillay United States
Chadwick D. Rittenhouse United States
Marco Sciaini relative to Maximilian H. K. Hesselbarth United States Maximilian H. K. Hesselbarth's profile →
Citations per field
00.5×1.7×
Maximilian H. K. Hesselbarth · 1×
Citations per year

Countries citing papers authored by Marco Sciaini

Since Specialization
Citations

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

Fields of papers citing papers by Marco Sciaini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Marco Sciaini, 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 Marco Sciaini Line = papers co-authored together Marco Sciaini links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1
landscapemetrics : an open‐source R tool to calculate landscape metrics
Hit paper breakdown →
2019814
2 201871
3 201947

About Marco Sciaini

Marco Sciaini is a scholar working on Nature and Landscape Conservation, Ecological Modeling, Global and Planetary Change, Computer Networks and Communications and Information Systems and Management, having authored 3 papers that have together received 932 indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (2 papers), Ecology and Vegetation Dynamics Studies (2 papers), Species Distribution and Climate Change (2 papers), Scientific Computing and Data Management (1 paper), Simulation Techniques and Applications (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Ecological Modeling (173 citations), Nature and Landscape Conservation (252 citations), Ecology (487 citations), Global and Planetary Change (391 citations) and Ecology, Evolution, Behavior and Systematics (150 citations). Marco Sciaini has collaborated with scholars based in Germany, United States and Poland. Frequent co-authors include Kerstin Wiegand, Kimberly A. With, Jakub Nowosad, Maximilian H. K. Hesselbarth, Cédric Scherer, Jan Salecker and Katrin Meyer. Their work appears in journals such as Methods in Ecology and Evolution and Ecography.

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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