Giacomo Inches

409 citations
8 papers · 216 indexed · h-index 5
Journals
RiuNet (Politechnical University of Valencia) (1 paper)Text REtrieval Conference (2 papers)

In The Last Decade

Giacomo Inches

8 papers receiving 182 citations

Peers

Giacomo Inches
Comparison fields: 5 of 34
  • Artificial Intelligence 181
  • Human-Computer Interaction 28
  • Information Systems 87
  • Developmental and Educational Psychology 17
  • Signal Processing 11
Replace Tatiana Litvinova with:
Tatiana Litvinova Russia
Amaç Herdağdelen Italy
Niyati Chhaya United States
Andrew Caines United Kingdom
Diptesh Kanojia India
John Niekrasz United States
Abdelhak Lakhouaja Morocco
Michael Wojatzki Germany
Jack Urbanek Israel
Erica Kleinman United States
Giacomo Inches relative to Tatiana Litvinova Russia Tatiana Litvinova's profile →
Citations per field
00.5×8.5×
Tatiana Litvinova · 1×
Citations per year

Countries citing papers authored by Giacomo Inches

Since Specialization
Citations

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

Fields of papers citing papers by Giacomo Inches

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 14 scholars most cited alongside Giacomo Inches, 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 Giacomo Inches Line = papers co-authored together Giacomo Inches links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 202119
2 201313
3
Overview of the 2nd Author Profiling Task at PAN 2014
2013112
4
Overview of the International Sexual Predator Identification Competition at PAN-2012.
201250
5 20111
6 201115
7
University of Lugano at TREC 2010
20104
8
University of Lugano at TREC 2009 Blog Track
20092

About Giacomo Inches

Giacomo Inches is a scholar working on Human-Computer Interaction, Artificial Intelligence and Information Systems, having authored 8 papers that have together received 216 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Authorship Attribution and Profiling (5 papers), Natural Language Processing Techniques (3 papers), Advanced Text Analysis Techniques (2 papers), Spam and Phishing Detection (2 papers), Web Data Mining and Analysis (1 paper), Digital Communication and Language (1 paper) and Misinformation and Its Impacts (1 paper). The work is most often cited by research in Artificial Intelligence (181 citations), Human-Computer Interaction (28 citations) and Information Systems (87 citations). Giacomo Inches has collaborated with scholars based in Switzerland, United Kingdom and Spain. Frequent co-authors include Fábio Crestani, Moshe Koppel, Paolo Rosso, Francisco Rangel, Efstathios Stamatatos, Morgan Harvey, Richard Bowden, Ben Saunders, Necati Cihan Camgöz and Mark Carman. Their work appears in journals such as RiuNet (Politechnical University of Valencia) and Text REtrieval Conference.

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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