Maria Grossmann

420 citations
7 papers · 130 · h-index 5

Impact in

Papers in

Journals
Food Science and Technology (1 paper)Brazilian journal of food technology (1 paper)Dialnet (Universidad de la Rioja) (1 paper)Narr eBooks (1 paper)Iris (Roma Tre University) (1 paper)
Partner nations
Brazil

In The Last Decade

Maria Grossmann

6 papers receiving 102 citations

Peers

Maria Grossmann
Comparison fields: 5 of 35
  • Language and Linguistics 77
  • Linguistics and Language 20
  • Philosophy 21
  • Experimental and Cognitive Psychology 22
  • Artificial Intelligence 42
Replace Eunice Pontes with:
Eunice Pontes
Marguerite MacKenzie Canada
D. Kolliakou United Kingdom
Horst Lohnstein Germany
Martin Walkow United States
Ataliba Teixeira de Castilho Brazil
Marcela Depiante United States
T. R. Rapoport Israel
Anamaria Fălăuş France
Phil Branigan Canada
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Citations per field
00.5×1.5×
Eunice Pontes · 1×
Citations per year

Countries citing papers authored by Maria Grossmann

Since Specialization
Citations

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

Fields of papers citing papers by Maria Grossmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Maria Grossmann, 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 Maria Grossmann Line = papers co-authored together Maria Grossmann links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 200499
2
Colori e lessico : studi sulla struttura semantica degli aggettivi di colore in catalano, castigliano, italiano, romeno, latino ed ungherese
19889
3
Expansion and hydration properties of cassava starch extruded with emulsifier
19997
4 20017
5
Colori e lessico
19885
6
Per la storia dei nomi dei mestieri in italiano
20162
7
I suffissati in -(t)ore e -trice nell’italiano del periodo 1841-1947
20161

About Maria Grossmann

Maria Grossmann is a scholar working on Artificial Intelligence, Language and Linguistics, Forestry, Linguistics and Language and Experimental and Cognitive Psychology, having authored 7 papers that have together received 130 indexed citations. Recurring topics across this work include Linguistic Studies and Language Acquisition (4 papers), Historical Linguistics and Language Studies (2 papers), Food composition and properties (1 paper), Agricultural and Food Sciences (1 paper), Cassava research and cyanide (1 paper), Spanish Linguistics and Language Studies (1 paper), Categorization, perception, and language (1 paper) and Language and Culture (1 paper). The work is most often cited by research in Language and Linguistics (77 citations), Linguistics and Language (20 citations), Philosophy (21 citations), Experimental and Cognitive Psychology (22 citations) and Artificial Intelligence (42 citations). Maria Grossmann has collaborated with scholars based in Brazil. Frequent co-authors include Franz Rainer and Wilma Aparecida Spinosa. Their work appears in journals such as Food Science and Technology, Brazilian journal of food technology, Dialnet (Universidad de la Rioja), Narr eBooks and Iris (Roma Tre University).

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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